January - 2026
Sunday
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
1
2
 S&P +8.00
 USB -0.17
3
4
5
 S&P +43.25
 USB +0.08
6
 S&P +44.00
 USB -0.05
7
 S&P -24.50
 USB +0.24
8
 S&P -1.25
 USB -0.17
9
 S&P +43.00
 USB +0.13
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
Copyright Dailyspeculations.com

Nov

21

The Incredible Brain of a Poker Player

A true social phenomenon, poker is not just a game of chance and money. From a scientific perspective, we can think of it as a sporting discipline, requiring numerous biological and mental resources. Winning, losing, thinking, bluffing, resisting stress…each of these events results in specific brain activity. By combining testimonials from some of the best players in the world with insights from scientific experts and unique experiences, this documentary will allow each of us to understand the internal processes that govern our risk-taking, and each of our decisions.

Nov

20

Howard Hammer

November 20, 2024 | Leave a Comment

Vic and Howie Hammer being inducted into paddlable hall of fame. Howie at 88 the founder.

Howard Hammer – PFA Paddleball Legend of the Game Profile

Howard Hammer is the first inductee into the PFA Hall of Fame, and rightfully so. He was not only one of the greatest players the game has ever seen, but he also contributed more to the game than anyone I know. No one else is more associated with paddleball than Howie. Therefore, the title “Mr. Paddleball” is really appropriate.

Video: Paddleball Shots: Fundamentals, by Howard Hammer

Book: Paddleball: how to play the game, by Howard Hammer, 1979.

Vic's X/twitter feed

Nov

18

while Don quixote is voted the best novel of all time, and its humour and anecdotes are considered sui generis, not many have commented on the wisdom of this book as great as its wit. I have found the proverbs contained within - all very short, salty and sententious - the perfect companion to the book itself. the companion by Ulick Ralph Burke, Sancho Panza's Proverbs, is the perfect partner to the duo and is a work of masterly scholarship. In addition to the saltiness of all proverbs, there is an underlying Spanish diffidence and pregnancy to all the proverbs that enhances the novel.

Nov

17

the authors of this study should receive a Nobel Prize. the study is magnificent and the conclusions are useful and surprising. I would add that the studies do not take into account the theory of ever changing cycles. current conditions differ from the 19th century.

Long-run Asset Returns
Annual Review of Financial Economics, volume 16, issue 1,
2024[10.1146/annurev-financial-082123-105515]
David Chambers, University of Cambridge - Judge Business School; CEPR
Elroy Dimson, University of Cambridge - Judge Business School; European Corporate Governance Institute (ECGI)
Antti Ilmanen, AQR Capital Management
Paul Rintamäki, Aalto University
Date Written: October 10, 2024

The literature on long-run asset returns has continued to grow steadily, particularly since the start of the new millennium. We survey this expanding body of evidence on historical return premia across the major asset classes-stocks, bonds, and real assets-over the very long run. In addition, we discuss the benefits and pitfalls of these long-run data sets and make suggestions on best practice in compiling and using such data. We report the magnitude of these risk premia over the current and previous two centuries, and we compare estimates from alternative data compilers. We conclude by proposing some promising directions for future research.

Vic's X/twitter feed

Nov

16

Favorite piano

November 16, 2024 | Leave a Comment

my favorite piano work at my favorite venue by my favorite non-family woman who I've known for 50 years:

Pianist Rorianne Schrade plays Eduard Schütt's Paraphrase of J. Strauss Tales from the Vienna Woods

Rorianne Schrade YouTube channel

Rorianne's website.

Vic's X/twitter feed

Nov

15

A case for BTC

November 15, 2024 | Leave a Comment

a very resonant and helpful piece highly recommended:

Get Rich While Saving the World! Baby Tristan's Case for Bitcoin

one wouldn't be surprised if Tristan's middle name was Victor.

Vic's X/twitter feed

Nov

14

Should the market cap of crypto currencies be included in money supply for macroeconomic purposes?

William Huggins replies:

I'd you cant use it to pay taxes it doesn't count (just another asset, like a stamp).

Kim Zussman asks:

Why not? They add because if you pay taxes with fiat you can buy merch with crypto.

William Huggins responds:

you can barter wine or chocolate for a ton of things online too but we don't count those either. if money is "anything taken as payment" then we have to get very serious about "degrees of moneyness" (hence m0,m1,etc). in that spectrum, its pretty clear that the only things on the list are legal tender so unless you live in the land of bukele, it doesn't count (also, whose money supply does crypto count as exactly?)

Peter Penha:

I will volunteer that there is no moneyness to crypto as it was determined a 100% haircut asset by the DTC.

I think this leaves Blackrock and other crypto ETF managers in the interesting position that they cannot include crypto ETFs in one of their asset allocation funds or a target date fund, etc - inclusion would pollute.

Crypto in the USA appears to be a walled garden - the only contagion I can see to the financial world would be to holders of Micro Strategy Convertible Debt.

Stefan Jovanovich writes:

The question you all are raising here has a history - how far can "the law" go to monetize promises to pay? Originally, the answer was not one step. The Constitution says that legal tender can only be Coin. Article I, Section 8.

The lawyers have been working around that limitation ever since. Their greatest difficulty has been getting around the literalist non-lawyer Presidents who keep following the actual instructions the People established by vote as "the law".

Success came with the Aldrich-Vreeland Act which authorized banks with Federal charters to form "currency associations". Those were given authority to issue emergency currency could be backed by securities other than U.S. bonds, including commercial paper, state and local bonds, and other miscellaneous securities.

Section 18 of the Act: "The Secretary of the Treasury may, in his discretion, extend from time to time the benefits of this Act to all qualified State banks and trust companies, which have joined the Federal reserve system, or which may contract to join within fifteen days after the passage of this Act: Provided, That such State banks and trust companies shall be subject to the same regulations and restrictions as are national banks under this Act: And provided further, That the circulating notes issued under this Act shall be lawful money and a legal tender in payment of all debts, public and private, within the United States."

Everything since 1908 has been a variation on that theme - "lawful money" can be whatever Congress says it is.

Bill Rafter comments:

I started this question because I am working on a slight variation of digitally quantifying inflation. With the loose definition of inflation being “too much money chasing too few goods”, then the “money” part should include all that can conceivably buy the “goods”. Since one can increasingly buy a whole lot of stuff with crypto, then crypto deserves inclusion. If one were to fast-forward to a time of massive currency instability (this is just a thought experiment), having included the cryptocurrency might have facilitated greater forecasting.

Stefan Jovanovich adds:

For me the paradox of Bitcoin is that it has been a spectacularly successful asset - like a share of Berkshire Hathaway stock bought in the days before Buffett even went public - but it has never been a money. If I had Bill's brain and cleverness, I would try to include in the calculations the sum of personal and corporate credit that the lenders cannot easily pull away from the table (the potential moneyness supply) and the amount of credit actually used; and then seek the correlations to the fluctuations in that spread. In the days before central banking, speculators watched the net supply of commercial paper as such an indicator.

Nov

12

Sporting anecdotes

November 12, 2024 | Leave a Comment

Sporting Anecdotes (1923) shows us what the state of sports was like in England in 1800's. much betting on walking races, boxing, horse racing. and here is the greatest fives player of all time: john cavanaugh, much fighting of badgers, etc; great match of walking 1000 miles in 1000 hours; gouging match in america; fidelity of a dog; curious wager - walking against eating; throwing cricket ball 100 miles to deliver a post and win a bet; wisdom of Pliny who lived 100+ years.

Vic's X/twitter feed

Nov

10

Tariffs

November 10, 2024 | 1 Comment

The Old Right Opposed Tariffs

The Old Right was a principled band of intellectuals and activists, many of them libertarians, who fought the “industrial regimentation” of the New Deal, and were the first to note that, in America, statism and corporatism are inseparable.

Despite some current claims, however, these writers ardently defended capitalism, including big business and corporations, celebrated the profit motive, and took a strict laissez-faire attitude towards international trade. They loathed tariffs, and saw protectionism as a species of socialist planning.

Humbert H. writes:

Current restrictionist trade theories in the conservative movement, therefore, are not those of the Old Right. Their intellectual legacy is more likely British mercantilism.

The British did pretty well under mercantilism. I have always supported free (meaning from both sides) trade with equally situated countries, like US and Canada, but I love restrictionism and tariffs imposed on countries like China. It's crazy, in my opinion, to have "free trade" with a country that can and routinely does restrict imports, has slave labor, no "social safety net", steals intellectual property in a variety of ways, and can chose to focus on any trade area to bankrupt it's counterparts in a "free" country. The ability to produce a variety of goods is fundamental to the strength of the country. In wars, pandemics, and trade wars the other country starts having domestic capabilities is crucial. When this debate was first discussed in France, restricting the imports of oranges from Spain and Portugal into France was used as an example of what not to do, and that's a poor example compared to importing steel and semiconductors.

Larry Williams comments:

Hamilton's use of tariffs made America great.

Stefan Jovanovich writes:

Hamilton made his living as a private attorney in New York representing the marine insurance companies whose policies required shippers to be "woke" - i.e. perfect observers of their policies' neutrality warranties.

Pamela Van Giessen adds:

Silent Cal Coolidge the Vermonter was also good with tariffs and preferred them to income taxes.

Along with Secretary of the Treasury Andrew Mellon, Coolidge won the passage of three major tax cuts. Using powers delegated to him by the 1922 Fordney–McCumber Tariff, Coolidge kept tariff rates high in order to protect American manufacturing profits and high wages. He blocked passage of the McNary–Haugen Farm Relief Bill, which would have involved the federal government in the persistent farm crisis by raising prices paid to farmers for five crops. The strong economy combined with restrained government spending produced consistent government surpluses, and total federal debt shrank by one quarter during Coolidge's presidency.

Michael Brush responds:

Smoot-Hawley worsened the Great Depression.

Humbert H. cautions:

That's not really a fact, it's a debatable point. There's a range of opinions there from "it caused it" to "it did nothing to worsen it". It's one of those things like "what caused the fall of Rome" that can't be decisively proven.

Stefan Jovanovich offers:

Effective date of Smoot-Hawley Tariff: June 17, 1930
Tariff collections:
Fiscal Year 1931: $378,354,005.05
Fiscal Year 1932: $327,754,969.45
Fiscal Year 1933: $250,750,251.27
Total tax collections by Treasury:
Fiscal Year 1931: $2,118,092,899.01
Fiscal Year 1932: $2,118,092,899.01
Fiscal Year 1933: $2,576,530,202.00

Pamela Van Giessen writes:

Amity Shlaes goes into detail about how the depression was extended (or recovery didn’t come) in The Forgotten Man. She attributes the worsening of the depression, especially in the late ‘30s, to a combination of government interventions that included the Smoot-Hawley tariff, government (and union) demands to keep wages high, banking regulation, over-regulation, and FDR’s new deal, among other government interventions. In short, there doesn’t seem to be just one cause though it seems reasonable to blame each of the interventions.

Art Cooper adds:

I also found Murray Rothbard's America's Great Depression to have worthwhile insights.

Nov

7

Price Gouging

Price Controls: Still A Bad Idea, by David R. Henderson.

When University of Chicago economist Harold Demsetz gave a talk in the winter of 1970 at the University of Winnipeg, where I was an undergrad, he used an analogy that many critics of price controls still use. Demsetz told his audience that using price controls to reduce inflation is like responding to cold weather in Winnipeg by breaking the thermometer. His point was that just as thermometers respond to temperature, prices are an indicator of underlying economic phenomena, namely supply and demand. Breaking a thermometer doesn’t cause the temperature to rise; controlling prices doesn’t cause inflation to fall.

The Edict of Diocletian: A Case Study in Price Controls and Inflation, by Murray N. Rothbard.

Citizens of the old Roman Empire distrusted paper currency and refused to accept anything but gold or silver coin as money. So the rulers found themselves barred from inflating the money supply by the unobtrusive method of printing additional currency.

But the Roman emperors soon discovered an ingenious device. They proceeded to call in the coins of the realm, ostensibly for repairs. Then, by various means, such as filing off small parts of the coins, or introducing cheaper alloys, they reduced the silver content of the money without changing its original face value. This devaluation enabled them to add many more silver coins to the Roman money supply. The practice was started by Nero, and accelerated by his successors. By Diocletian’s time, the denarius (standard silver coin) had been reduced to one-tenth of its former value.

The Speculator As Hero, by Victor Niederhoffer.

Some speculators are discoverers like Christopher Columbus, creators like Henry Ford, or inventors like Thomas Edison. Their job is easy to place on a high plane. My role in the grander order is indirect, relatively invisible and unplanned. The only discoveries I make are the routes that prices will travel. Like hundreds of thousands of other traders, I try to predict the prices of common goods a day or two in the future. If I think the price of an item will go up, I buy today and sell later. If I think that the price is going down, I’ll sell at today’s higher price. The miracle is that in taking care of ourselves, we speculators somehow ensure that producers all over the world will provide the right quantity and quality of goods at the proper time, without undue waste, and that this meshes with what people want and the money they have available.

Vic's X/twitter feed

Nov

6

Predictive and Statistical Properties of Insider Trading
Author(s): James H. Lorie and Victor Niederhoffer
Source: Journal of Law and Economics, Vol. 11, No. 1, (Apr., 1968), pp. 35-53
Published by: The University of Chicago Press

The subject has been studied before in many ways, but none of the preceding studies has been definitive and the additional methods of analysis seemed promising. Opinions are somewhat polarized. Academic studies have found virtually no evidence of profitable exploitation by insiders of their special knowledge and no value to outsiders in data on trading by insiders. Others believe that insiders often make extraordinary profits and that knowledge of their trading is valuable. Both the SEC and investors should be interested in which opinion is correct. The methods and coverage of this study differ from those of earlier work, as do our conclusions. We show that proper and prompt analysis of data on insider trading can be profitable, although almost all earlier academic work has reached the contrary conclusion.

Nov

4

Poker Theory and Analytics
MIT OpenCourseWare

Topics:
Basic Strategy
Analysis Techniques and Applications
Preflop Analysis
Tournament Play
Poker Economics
Game Theory
Decision Making

Article about the instructor (for the 2015 class)

Nov

2

And the law won

November 2, 2024 | Leave a Comment

From Big Al:

Campbell's law

The more any quantitative social indicator is used for social decision-making, the more subject it will be to corruption pressures and the more apt it will be to distort and corrupt the social processes it is intended to monitor.

Variation:

Goodhart's law

When a measure becomes a target, it ceases to be a good measure.

Nils Poertner writes:

if one could find a way to increase the odds of Sod's law happening to oneself (trading or otherwise, outside trading). one could find a way to be less exposed to that law. don't have an exact formula here it is just a question.

This book The Improbability Principle: Why Coincidences, Miracles, and Rare Events Happen Every Day, by David Hand, did flip a lever in my brain many yrs back. in this book he described that we have an inadequate idea of probabilities and nature is far more dynamic than we think and that perhaps our own actions and belief systems play a much larger role…(btw, am not saying fate never plays a role)

Rich Bubb writes:

Having witnessed (pre-retirement in 2020) multiple project, engineering & quality failures related to Murphy and/or SOD variants, the engineering & technicians [and often-times myself] that had to deal with the 'Magic Wand' mgmt insane dreams-up are/is best avoided by 'stepping away from the problem, asap'. In some areas, this 'stepping-away' is also known as the "Do NOTHING Rule". Corollary: "Ain't My Job Rule."

Or, knowing that everything rarely goes according to plan (Unknown Unknowns), & expect something-to-hit-the-proverbial-fan. One method I used (more often than I should admit), is a Reverse Fishbone/Ishikawa Diagram. The method has the "Result" of anything going wrong replacing the assumed desired effect , aka the 'Fish-head', then working backwards trying to determine Man, Method, Environment, Measurement, Machine, etc., possible snafu's, & mitigate or pre-fix problems.

Sometimes the Reverse Fishbone is done after the problem is revealed. And the $$$ Cost of mitigation are sometimes 'argued-away' by the cost-benefit folks controlling the situation's budget. This is one reason many engineers fear &/or loathe accountants (but not out loud).

Asindu Drileba adds:

Sods law seems related to a set of precepts used in computer science called the Fallacies of distributed computing.

When building a trading system assume that;
- The market's returns will arrive at the worst possible sequence.
- Your orders will not get filled exactly the way you want.
- Transaction fees are going to eat all your gains
- Your broker is going to scam you (a là FTX)
- You trading system might go offline for arbitrary reasons
- Regulations might change against your favour. (up tick rule, no shorting stocks)

Building a trading system based on such pessimistic assumptions will actually result it a system that will go through alot of muck and still be reliable.

Nov

1

From Prices, by Warren and Pearson (1933):

Prices are the major criterion by which the producer can know what society wants. The only way the farmer can tell whether to produce cabbages or wheat is on the basis of price. The only way that his son can determine whether society wants him to be a farmer or a coal miner or doctor is on the basis of price. The woman with the market basket, the retailer who must sell to live, the farmer who must have fence wire to keep his cattle in, the steel producer who must sell in order to operate his mill — all combine to make prices. The algebraic sum of all the millions of transactions between all the buyers and sellers of the world makes prices. The system does not always work perfectly, but no committee could guide the millions of producers to meet human needs so well as prices guide them — provided the medium of exchange functions properly. When it functions badly, the people turn to dictators and social control.

Only through prices can consumption be wisely guided. We would all like porterhouse steak and Packard cars, but these require so much human effort to produce that it is not possible to produce enough for all. Hens do not lay many eggs in winter. Consumers would like them in winter as well as or better than in summer. By raising prices in winter, the supply is made to last.

Vic's X/twitter feed

Oct

31

There is a lot of talk about how precarious US Debt situation is. Two questions:

1. What possible disaster may come out of this? I am thinking Zimbabwe type hyper inflation. What other kind of disaster can happen?

2. What can retail level people do to protect themselves from this? Buy Swiss Francs? Gold & Silver? Bitcoin? What?

Larry Williams responds:

Gloom and doomers here is the chart to look at:

Bud Conrad writes:

Gold 1 year is up 24%. Silver 1 year is up 50%. The circumstances today are still very bad for the dollar. (Which is what is actually declining.)

The BRICS+ are meeting in Russia tomorrow Putin, Xi, Modi, Iran, Saudi Arabia (observer only), UAE etc.) to continue de-dollarization with non-dollar-denominated trade through non-SWIFT transactions for international Central Bank settlement. NO body is talking about this, being focused on how much the candidates will print up to bribe us for votes. The $1.1 T for interest on the $35 T of official Government Debt could rise, as the 10 year Treasury rate hit 4.2% while the Fed CUT short-term rate. Including unfunded liabilities for Social Security and Medicare would say the debt obligations are more like $200 T.

This is 10 year Treasury. Red pointer is when Fed Cut short term rate:

There is no way around avoiding the money printing required. Inflation and price rises are inevitable, as foreigners divest their $8 T of Treasury holdings, to avoid US asserting sanctions or seizing assets like the $300B of Russia holdings. They want out of US Hegemony fast, because of 14 rounds of sanctions on Russia.

Read the full conversation.

Oct

30

Larry Williams interview with Jason Shapiro:

Masterclass with Larry Williams: COT, Market Cycles & Trading Secrets Revealed

Join Jason Shapiro, a renowned contrarian trader, as he unravels the complexities of the COT Report with legendary trader Larry Williams in this must-watch deep dive. Discover the market insights and trading strategy secrets that have led to their success, as they discuss everything from the impact of macroeconomics on trading decisions to the nuances of technical and sentiment analysis.

Oct

28

a daughter and a wife

Two of the favorite people of my long life - Robert Schrade and Susan N

Vic's X/twitter feed

Oct

27

Vic to Aubrey, 2006:

Letter to a newborn son

The occasion of a birth is always a good time to take stock of the important things in life that a father would like to share. In your case, it's even more important, because at 62, I am the oldest father that the big Pennsylvania hospital that you were born in had ever discharged, and I am going to have to compress much of my hopes and knowledge and love for you into a few short years. Here are some of the main lessons for you that I hope to set in motion so clearly and firmly by my own example and also with practical direct applications for you while I'm alive that it will become second nature to you, and these guidelines will be useful merely for a review, but it's too late to lock the stable after the horse has been stolen, so here goes.

Part 2

You were named after two characters, Jack Aubrey, a very worthy character Patrick O'Brian and C.S. Forester wrote about in their series of books about the adventures of the greatest British naval captain in history, who traveled the world with great skill and overcame great danger to make the world safe for freedom; and Charles Darwin, the greatest biologist, who after a trip around the world discovered the nature of life and change. While both showed extraordinary abilities, mental and physical strength, study, science, and character — friendship, loyalty, persistence — in their quests for success, the heroic quality of Jack Aubrey is what inspired your first name.

Part 3

Oct

26

some insights of Elmer Kelton about markets. (1) When you sell something at an auction, auctioneer will always tell you that you should have been here yesterday at the market was great then but it crashed. today. (2) if futures are up "there's no relation of cash to futures".

S&P had gone 9 days without a 20 day high. explanation is surge in odds. now at a high.

my favorite Elmer Kelton besides The Time It Never Rained:

Elmer Kelton Tells the Truth

Here are four of this famous author's speeches, recorded live. Known for his award-winning fiction, Elmer Kelton is highly sought after as a keynote speaker. His vast knowledge of, and passion for, the subjects he uses as backdrops for his novels is evident in these finely-crafted, humorous talks.

Vic's X/twitter feed

Oct

25

Sports Betting Apps Are Even More Toxic Than You Thought
Pro bettors have taken to disguising themselves as gambling addicts so sportsbooks keep the free money flowing.

Among the main challenges for a pro bettor is finding places that will take your money. If you show signs of being good, or even just highly methodical, most sportsbooks will drastically limit how much you can wager. But there are ways around this. Sharps, as pros are known, often employ surrogates to place bets on their behalf in exchange for a share of the winnings. Or they “prime” their accounts by making wagers that a casual bettor, or square, typically would.

“If I open an account in New York, maybe for a few weeks I just bet the Yankees right before the game begins,” says Rufus Peabody, a pro bettor and co-host of the Bet the Process podcast. If this trick works, the book sees these normie, hometown bets as a sign that it’s safe to raise his limits. That gives Peabody a bigger purse to work with when he switches to making bets he thinks will pay out—and that the book will likely recognize as coming from a skilled player. The idea is to win as much as you can before the house catches on.

Pro bettors have recently added a wrinkle to their priming routines: They’re acting like gambling addicts. Isaac Rose-Berman recently described the practice in his How Gambling Works newsletter:

“One pro bettor I know set up a bot which logs in to his accounts every day between 2 and 4 a.m., to make it seem like he can’t get through the night without checking his bets. Another withdraws money and then reverses those withdrawals so it looks like he can’t resist gambling.”

Oct

24

Spec variety pack

October 24, 2024 | Leave a Comment

Hernan Avella provides a quick book review:

The Biggest Bluff is a decent book, light enough to enjoy in audiobook format. The book follows a simple narrative, weaving decision theory and cognitive biases into the context of the author’s journey learning poker while being mentored by one of the best ever. There are many useful nuggets for the discretionary trader throughout. In today’s markets, where speed and computational power are abundant—much like the solver and GTO approach in poker—the wisdom of the great Eric Seidel can be distilled as follows:

• Focus and pay attention
• Emphasize the decision-making process, iterate, and improve upon it—don’t obsess over results.
• Don’t complain about bad beats; take randomness stoically.
• There’s always something to learn, and always be humble.

David Lillienfeld on GLP-1s and Alzheimer's:

It's rare that one can say much that's definitive about Alzheimer's–other than that we don't know much. However, it seems there's some reason for hope coming from the GLP-1:

Ozempic predecessor suggests potential for GLP-1 drugs in Alzheimer’s in early trial

A small clinical trial suggests that drugs like Ozempic could potentially be used not just for diabetes and weight loss but to protect the brain, slowing the rate at which people with Alzheimer’s disease lose their ability to think clearly, remember things and perform daily activities. The results need to be borne out in larger trials, which are already underway, before the medicines could receive approval for the disease.

Kim Zussman on happiness, money, and "olfactory enrichment":

The Price of Happiness
What is the shape of the relationship between money and happiness, and what are its implications?

People typically think about money in raw units such as dollars. Yet research on money and happiness typically examines the association between happiness and the logarithm of income, or Log(income). This logarithmic association between income and happiness is frequently either overlooked or misunderstood. To help address this, the present report examines this association and makes five key points….

Overnight olfactory enrichment using an odorant diffuser improves memory and modifies the uncinate fasciculus in older adults

Conclusion: Minimal olfactory enrichment administered at night produces improvements in both cognitive and neural functioning. Thus, olfactory enrichment may provide an effective and low-effort pathway to improved brain health.

Oct

23

I am against early voting and other unbounded residuals from Covid. Election day should be a civic event where people actually show up.

Nevertheless, I voted early because it’s now part of the political game. Forecasts based on the ratio of early-voting party members make headlines.

Full post: Nobody Asked Me, But…

Oct

22

There is this new tool from Google called Notebook LM. It converts text into an audio of podcast format, two people conversing about the topic (a man & a woman). It's so good, I would say it's impossible for me to differentiate between a fake Notebook LM podcast and a real one. The AI's call him a "Renaissance Finance Man" and honestly speaking, I really enjoyed the fake podcast.

It's just 10 minutes long, if you want to listen to it, here it is. (You need to be signed into Gmail or a Google account to listen.)

Laurence Glazier responds:

Extraordinary. Will take a look at this. We need to be circumspect about everything we thought was real. Certainly any photos or new articles we see in the media.

Gyve Bones asks:

Very well done. What sources did you supply the LM?

Asindu Drileba explains:

The text was simply the About page of Daily Speculations. That's all I used. But I suspect it also added content else where from the internet and they mention stuff that isn't present in the about page.

Oct

21

The media is buzzing about nuclear power as the silver bullet. Two commercial nuclear power plants are in the process of coming out of retirement.

The odds of the two retired nuclear plants successfully navigating their way out of retirement are high. The Michigan unit (Palisades) won a $1.52 billion federal loan guarantee, $300 million from the state, [significant] tax benefits, and bipartisan support from state lawmakers. In addition, Palisades has already signed long-term Power Purchase Agreements for the full power output with rural electric co-ops Wolverine Power Cooperative and Hoosier Energy, which serve rural communities in Michigan, Illinois, and Indiana. DOE will also provide $1.3 billion in funding to two Michigan area power cooperatives to boost power purchases from the Palisades plant.

The Pennsylvania unit (Three Mile Island) is about two years behind Palisades. Their 20-year offtake agreement is with Microsoft. They may decline federal loan guarantees but take advantage of aggressive tax advantages (federal loans have feisty terms).

Both plants will require extensive and high-paying workforces. They will generate significant state and local property taxes and create economic multipliers for local, state, and regional areas.

While each plant may appear old, its components are relatively new. Over the years, each plant has undergone preventive maintenance that required replacing components and maintaining federal safety standards. While each plant is relatively small (under 900 MW), they can safely run for an additional 20 years with routine maintenance.

The validity of the proposed restart schedules is a question. I wonder if they can access new fuel in time because of a rigid queue to support the nation's nuclear fleet. I also question whether there is enough time to overcome the hurdles of the federal regulator (NRC). These are external activities that developers can manage but cannot control.

The natural question is about other nuclear plants. Specifically, how many more retired nuclear plants can be restarted? The answer is that it depends. It depends on how far a plant has been decommissioned, who owns the title, the degree to which the state supports continued operations, whether government incentives can overcome costs, and how desperate consumers are for power.

David Lillienfeld comments:

I find it hard to believe that the community around TMI is going to accept a restart all that easily.

Carder Dimitroff replies:

Thank you. This is an important point. TMI has two nuclear power plants (two reactors and two generators). Only one unit was involved in the TMI incident. Until it retired in late 2019, the other had operated reliably for 40 years after the incident. It retired for financial reasons, and local property taxes jumped when it did.

Not all, but most communities hosting nuclear power plants appreciated the employment, economic, and tax benefits the facility provided. When plants approached retirement age, community leaders sought opportunities to extend or replace the facility.

With one operating unit, TMI was the biggest employer in the county, with nearly 700 high-paying workers. Local businesses depended on the plant for their economic success. In addition, schools and other government departments enjoyed robust budgets while average homeowners' property taxes remained relatively low.

For these reasons, most communities would likely support continued operations. As always, some will want to see the asset permanently decommissioned. While there are no public safety issues that differ from those of any other nuclear plant, those most concerned about TMI would have moved years ago.

David Lillienfeld responds:

There was a documentary about TMI made in the last decade (I think). There were a lot of local residents who registered anger that the reactors had been built there in the first place. I'm not so confident that they would have moved by now. That said, your comments about the economics make a strong case for moving forward with a restart. I guess the big winners are Microsoft shareholders.

Oct

20

Whenever there's a home project, it usually requires three visits to the hardware store. Murphy's Law prevails as "anything that can go wrong will go wrong." The same is true in the nuclear world. But in this case, Murphy was an optimist:

Corrosion exceeds estimates at Michigan nuclear plant US wants to restart.

Steam generators are radiators. They transfer heat from inside the reactor building to outside the building without mixing fluids that move the heat. They have a simple job but rely on complex metallurgy. It's common practice to replace steam generators from time to time. So, this news is not a surprise, but it will delay the expected restart and increase costs.

In general, nuclear power plants come in two flavors. One uses steam generators that isolate the reactor's primary loop from the turbine's secondary loop. The other has only one loop directly connecting the reactor to the turbine without steam generators.

The first is a Pressurized Water Reactor (PWR) manufactured mainly by Westinghouse and its technology partners (France, China, and Korea). The second is a Boiling Water Reactor (BWR) manufactured by General Electric and its technology partners.

Both Michigan and Pennsylvania restarts rely on PWR technology.

Oct

19

From Pariah to Pioneer

In 1973, when John Wennberg published his first journal article on unwarranted variations in the delivery of healthcare, he was largely ignored. But over the past 40 years, Wennberg—the founder of the Dartmouth Atlas Project and the Peggy Y. Thomson Professor Emeritus in the Evaluative Clinical Sciences at Geisel—has helped to change the way physicians and patients approach medical decision making and shaped efforts to reform the nation's health-care system.

Over the course of two days at Dartmouth, Jack and his colleagues laid out the content of their work—leaving me to sort out its revolutionary implications. Elliott Fisher, David Goodman, and H. Gilbert Welch, all physicians, showed me data suggesting that in regions of the country and at individual hospitals that delivered the most medical services—as measured by days in the hospital, tests, procedures, and visits from multiple specialists—patients did not, on average, live longer. It also did not appear that regions whose patients were the sickest on average—and therefore potentially most in need of more treatment—were the ones where the most care was delivered. Jack and the others went on to show me that many patients were unwittingly getting elective surgeries (including cardiac bypass, mastectomy, and prostate surgery) that could cause side effects that patients did not know about or fully understand, raising the question of whether they would have wanted the surgeries had the pros and cons been explained to them in a way they could grasp.

Tracking Medicine: A Researcher's Quest to Understand Health Care, by John E. Wennberg.

Kim Zussman adds:

There are financial incentives to do procedures (both for drs and hospitals), creating moral hazard. I.e., it is more likely for an interventional cardiologist to recommend an angiogram than it is for a non-interventional to do so. Note the income difference in the table. Click on the image for full view or go to the article:

Cardiology salaries on the rise, how does yours compare?

According to Modern Healthcare’s 2017-2018 By the Numbers report, most physician specialties have seen an increase in average salary since 2015-2016. Interventional and non-invasive cardiology are no exception.

Oct

18

Prices, by Warren and Pearson (1933), has first exegesis as to why prices are the key to orderly satisfactions of producers and consumers. a beautiful book with many tables of prices from 1786 to 1933.

World prices and the building industry
Index numbers of prices of 40 basic commodities for 14 countries in currency and in gold, and material on the building industry. (The Price series)

how service cuts supposedly increase interest rates. LIZ Truss compare this to quantity of money theory - anything to increase 3 letter siblings.

Kenneth Roman

Vic's X/twitter feed

Oct

17

Advanced Portfolio Management: A Quant's Guide for Fundamental Investors, by Giuseppe Paleologo

Advanced Portfolio Management: A Quant’s Guide for Fundamental Investors is for fundamental equity analysts and portfolio managers, present, and future. Whatever stage you are at in your career, you have valuable investment ideas but always need knowledge to turn them into money. This book will introduce you to a framework for portfolio construction and risk management that is grounded in sound theory and tested by successful fundamental portfolio managers. The emphasis is on theory relevant to fundamental portfolio managers that works in practice, enabling you to convert ideas into a strategy portfolio that is both profitable and resilient. Intuition always comes first, and this book helps to lay out simple but effective "rules of thumb" that require little effort to implement and understand. At the same time, the book shows how to implement sophisticated techniques in order to meet the challenges a successful investor faces as his or her strategy grows in size and complexity. Advanced Portfolio Management also contains more advanced material and a quantitative appendix, which benefit quantitative researchers who are members of fundamental teams.

Oct

16

75-minute interview with Professor Bejan on the occasion of his winning the 2024 Association of Mechanical Engineers Medal: The professor discusses, among other things, how his experience playing basketball gave him insights into how systems of flow evolve.

Prof. Bejan's Duke site

J.A. Jones Distinguished Professor of Mechanical Engineering

Professor Bejan was awarded the Benjamin Franklin Medal 2018 and the Humboldt Research Award 2019. His research covers engineering science and applied physics: thermodynamics, heat transfer, convection, design, and evolution in nature.

He is ranked among the top 0.01% of the most cited and impactful world scientists (and top 10 in Engineering world wide) in the 2019 citations impact database created by Stanford University’s John Ioannidis, in PLoS Biology. He is the author of 30 books and 700 peer-referred articles. His h-index is 111 with 92,000 citations on Google Scholar. He received 18 honorary doctorates from universities in 11 countries.

Oct

15

Nicely-done video on Jensen's inequality.

And some interesting reads:

Jensen’s Inequality As An Intuition Tool

Jensen’s Inequality guides our predictions by forcing us to deliberately consider how the average input maps to the average output. When the function that maps the input to the output is non-linear, Jensen’s Inequality tells us in which direction our predictions will be biased. Stated another way: Jensen’s Inequality informs us when an average occurance is a poor predictor of the average result.

Jensen’s Inequality (2): Unlocking Optimization and Decision-Making Power

Jensen’s inequality is a simple yet powerful concept. In short, it states that for a convex function, the function’s value at the average of some points is less than or equal to the average of the function’s values at those points. At first glance, this may seem rather abstract. But its implications are profound. Jensen’s inequality allows us to derive bounds and build intuition about complex systems.

Oct

14

This year is the 100th anniversary of the Johnson-Reed Immigration Act signed into law in 1924 by President Coolidge. It was a modification of the 1917 Immigration Act which was the first law to establish quotas for entry into the United States.

Before 1917 the only numerical restrictions on entry to the United States was the Chinese Exclusion Act of 1882, which excluded EVERYONE Chinese. Immigration acts had placed restrictions on individuals (1882 - no convicts, indigents, prostitutes, lunatics, idiots; 1903 - no anarchists, epileptics, crazies; 1907 - no infected, mentally or physically handicapped who could not work), but there had been no quotas. The 1917 Immigration Act continued the exclusion of the Chinese but extended it to everyone else in East Asia except the Japanese and the Filipinos. The law also imposed a literacy test for anyone over 16, but the test was for the person's own language, not just English.

The 1924 Act extended the outright exclusion to the Japanese and can reasonably be identified as the triggering event that allowed Fascists to take control over the government of Japan and spend the next decade and a half convincing the people who had embraced representative democracy, American jazz and baseball that they should choose their own race as the one to come first.

Humbert H. comments:

It’s interesting how some reasons for excluding specific groups from being able to immigrate have changed over time. “Strong economic competitor” has completely disappeared, whereas it was one of two main reasons for excluding the Japanese. There must be some sort of widespread recognition that importing groups that demonstrate great achievement in some economic areas is good for the country even though there is certainly some collateral damage to the established population.

Stefan Jovanovich rejoins:

GR and I have different readings about the exclusion for the Japanese. It was not economic competition; the U.S. had a healthy positive trade balance with Japan between the two world wars. We sent them oil and wheat; they sent us toys and trinkets.

The political pressures for exclusion came from
(1) Teddy Roosevelt's complete hatred of the Japanese AND the Russians (Give a President the Nobel Peace prize and bad things always happen). That made disdain for the Nips into a bedrock belief of all progressive Republicans (Thank you Earl Warren)
(2) The continuing negotiations after the signing of the Washington Naval Treaty of 1922

Humbert H. clarifies:

I didn’t mean economic competition with Japan, but with Japanese immigrants, mainly in California

Asindu Drileba writes:

I heard from somewhere, that before World War 1, passports & visas where not enforced that seriously. You could just show up to any place you wanted to go to without many formal requirements. I just imagine if the world was like that? Anyone can show up anywhere anytime without any legal hurdles?

Noam Chomsky (MIT linguist) says that there are two kinds of globalization.
Globalization 1: Is the free movement of people (labour) around the world with less restrictions.
Globalization 2: Is the free movement of capital & goods (products) with little legal restrictions.

He says that as we we're entering the 21st century, there has been a sharp decrease in Globalization 1 and a sharp increase in Globalization 2. It has been described that Globalization 2 has benefited corporations a lot (some even claim it has benefited the economy as a whole).

Can a country benefit economically (can corporations & markets see gains?) by making immigration as easy as it is to send money around the world? That is, people (labour) moving around with very little restrictions?

Jeff Watson offers:

It would be better this way:

A world of free movement would be $78 trillion richer
Yes, it would be disruptive. But the potential gains are so vast that objectors could be bribed to let it happen.

Humbert H. responds:

Of course anyone with a minimal economic education would realize that free movement of “labor” or entrepreneurs would result in creation of enormous wealth. In the real world though, new immigrants going on the dole has become a feature and not a bug in many wealthy countries. You read anything from England, and that seems like an accepted fact there. The list of various culture-clash and crime issues is long and only irritates people who are for unrestricted immigration. So this not a pure economics problem but more multifaceted. My point was that something, perhaps better knowledge of economics or personal experience, or maybe less dog-eats-dog competition for survival, taught the populace that importing highly capable people usually leads to good outcomes.

Jordan Low adds:

Do you enjoy Bing Cherries? He lost his farm in the act.

Ah Bing

Ah Bing was a 19th century horticulturalist and credited as the cultivator and namesake of the popular Bing cherry. Bing migrated to the U.S. around 1855 and worked as foreman in the Lewelling family fruit orchards in Milwaukie, Oregon.

Oct

13

Milton's travel through Florida had the eye wall intact straight through until it got to the Atlantic. Strong storm. Among the 4 strongest in the history of the Atlantic. One thing is clear though: There's a lot of destruction from this storm.

Hence, I have to wonder if there are going to be any insurers left in the Florida market, and if there are any left, which ones? I'm not sure that those insurers still there will make for good investment, but maybe they'll be able to survive in that market. It just seems unlikely.

Art Cooper responds:

There will certainly be private P&C insurers (in addition to state-created Citizens Property Insurance Company) continuing to do business in FL after Milton, but I strongly suspect they will continue to increase their restrictions on coverage. I understand that many victims of Hurricane Helene who thought they had coverage for its damage are being shocked to find out they either didn't, or did not to the extent to which they'd believed.

Historically, the aftermath of an event causing massive insurance claims is an opportune time to invest in carriers doing a lot of business in the affected area, because marginal carriers cease writing policies, thereby minimizing competition, and the event provides cover for dramatic rate increases. (Buy when there's "blood in the streets".) If you're bullish on the P&C sector, wait till after billions of dollars of claims are made, then try to buy at support levels.

I don't have any numbers on net migration out of FL, but I can attest anecdotally that the pandemic-induced flood into the state has ended. Bear in mind, however, that migration to FL has been characterized by wild swings for the past 100 years, and I'm confident it will continue to be volatile. Weather events such as Helene and Milton, and more importantly the greatly increased cost of homeowner's insurance, will of course be inhibiting factors going forward.

Carder Dimitroff writes:

I understand why some would consider NEE for short positions. I can see why the market might ping them. If the price sinks and the value is right for you, consider buying NEE as others sell.

Why? NEE Florida's assets are regulated. Within the state, they operate on a cost-plus-a-margin basis. They have a good relationship with the state's regulators (the state needs them). Their power plants and wires may be damaged, but the state's ratepayers will likely cover all their losses. There may be a temporary cash flow issue, but even those costs will be covered. For traders, it might take a year for NEE to recover financially.

Oct

13

EconTalk podcast: What Modern Medicine Gets Wrong (with Marty Makary)

Johns Hopkins surgeon Dr. Marty Makary talks about his book Blind Spots with EconTalk's Russ Roberts. Makary argues that the medical establishment too often makes unsupported recommendations for treatment while condemning treatments and approaches that can make us healthier. This is a sobering and informative exploration of a number of key findings in medicine that turned out to be wrong and based on insufficient evidence.

Oct

12

The ideal PPI

October 12, 2024 | Leave a Comment

what was the ideal ppi for the BLS to report yesterday? under the circumstances the 0.30 rise in S&P was fairly good. but the gentlemen didn't like it at the close again. yet an all time hi with a weak close. can't be too wrong.

Vic's X/twitter feed

Oct

12

Recommendations for an intro to multivariate statistics?

Bill Egan replies:

Here are four excellent multivariate statistics books I have used for many years. I suggest tackling them in this order.
1. Jerrold Zar - Biostatistical Analysis, 5th ed. (this is half univariate and half multivariate)
2. Neter, Kutner, Wasserman, Nachtsheim - Applied Linear Statistical Models, 4th ed (there is now a 5th ed and you can find the pdf by googling)
3. Alvin Rencher - Methods of Multivariate Analysis (there is now a 3rd ed.)
4. Mardia, Kent, Bibby - Multivariate Analysis (there is now a 2nd ed.)

You need to understand linear algebra to do this, e.g., at the level of Strang's Introduction to Linear Algebra, 6th ed. (his lectures are on MIT's opencourse website). Rencher, Neter, and Mardia all use that notation extensively. You also need to understand and be able to do univariate stats at the level of:
• Snedecor and Cochran - Statistical Methods, 8th ed.
• Riffenburgh and Gillen - Statistics in Medicine, 4th ed.

You will really learn multivariate methods only if you code them. Matlab is the best (Matlab Home is cheap), and yes, I coded everything in these books and a lot more work of my own invention in Matlab.

David Lillienfeld adds:

Snedecor and Cochran is the grand old lady of texts. Neter et al is still pretty popular on campuses.

Asindu Drileba asks:

Concerning statistical packages. I often hear some data science communities complain about how there are simply too many bugs & wrong implementations in the Python space. Maybe this is why you are recommending MATLAB? What do think of R or Julia?

Bill Egan responds:

I have used Matlab since 1993 for many things - research, papers, patents, commercial scientific software products. Matlab stands for matrix laboratory. The original data structure was scalar, vector, matrix. If you like to work in matrix/linear algebra notation, or need to, Matlab is the program to use. Other data structures have been added on, such as tables for mixed data types, but like al ladd-ons, this does not always work well. Quality control of the software is great. Very widely used by engineers. Very high level language, so you can see the algorithm without getting lost in the details like you do in C++.

R is not so good for linear algebra because the original data structure is a table for mixed data types. Matrix work is more difficult. Quality control of core R and major packages is good despite R being open source (although it has license restrictions) because it is used by many academic statisticians. I used R for analysis for a couple of years. Fairly high level language. Better for classical stats work where you make a table out of the data and have mixed data types.

Python is completely open source and the people who created and use it most have no knowledge of statistics and that shows. We used it primarily as a scripting/control language inside one of my software products. Available packages do have bugs/errors or are missing methods for stats. We tested them and could not use them; I had my guys code any stats related stuff from scratch. It is not as high level a language as R or Matlab, so you have to do more work. Do not recommend it.

I have no experience with Julia.

Oct

11

The similarities

October 11, 2024 | Leave a Comment

Catastrophe 1914. the similarities between the start of w.w.1. and the current situation before the first attempted assassination are very great.

From the acclaimed military historian, a new history of the outbreak of World War I: the dramatic stretch from the breakdown of diplomacy to the battles - the Marne, Ypres, Tannenberg - that marked the frenzied first year before the war bogged down in the trenches.

In Catastrophe 1914, Max Hastings gives us a conflict different from the familiar one of barbed wire, mud, and futility. He traces the path to war, making clear why Germany and Austria-Hungary were primarily to blame, and describes the gripping first clashes in the West, where the French army marched into action in uniforms of red and blue with flags flying and bands playing. In August, four days after the French suffered 27,000 men dead in a single day, the British fought an extraordinary holding action against oncoming Germans, one of the last of its kind in history. In October, at terrible cost the British held the allied line against massive German assaults in the first battle of Ypres. Hastings also recreates the lesser-known battles on the Eastern Front, brutal struggles in Serbia, East Prussia, and Galicia, where the Germans, Austrians, Russians, and Serbs inflicted three million casualties upon one another by Christmas.

Vic's X/twitter feed

Oct

10

Discussions on Florida prompted another look at domestic migration (one state to another, from 2020-2023) by presidential vote in the 2020 election. Using Wiki data on net migration and 2020 results*, here is a table of the top and bottom 10 in-migration states, on a per-capita basis, with voting colors**.

6/10 top in-migration states were Red, but only 2/10 top out-migration states were Red. Also of note is the out-migration raw numbers for CA and NY.

* List of U.S. states and territories by net migration

* Red states and blue states

** Red = Trump, Blue = Biden, lighter colors were close to tied.

Oct

9

I feel so lucky to have come across this book. And I think it's so relevant to the market. The book is titled Programming Collective Intelligence and markets can be thought of as a form of collective intelligence. Like some people may suggest, a market can be described as a single brain made up of other brains.

The book is very practical and gives examples on how to make predictions amongst collective entities participating in E-commerce sites, Dating websites, Social Networks, Real Estate and so on. It has no mathematics (that I have seen so far). Everything is written is very clean readable Python code (no use of obscure Python features or keywords).

Here is the book's own description of Chapter 8:

Introduces decision trees as a method not only of making predictions, but also of modeling the way the decisions are made. The first decision tree is built with hypothetical data from server logs and
is used to predict whether or not a user is likely to become a premium subscriber. The other examples use data from real web sites to model real estate prices and "hotness."

And Chapter 11:

Introduces genetic programming, a very sophisticated set of techniques that goes beyond optimization and actually builds algorithms using evolutionary ideas to solve a particular problem. This is demonstrated by a simple game in which the computer is initially a poor player that improves its skill by improving its own code the more the game is played.

Table of contents & book description

Oct

8

Zumwalt-class destroyer

Originally, 32 ships were planned, with $9.6 billion research and development costs spread across the class. As costs overran estimates, the number was reduced to 24, then to 7; finally, in July 2008, the Navy requested that Congress stop procuring Zumwalts and revert to building more Arleigh Burke destroyers. Only three Zumwalts were ultimately built. The average costs of construction accordingly increased, to $4.24 billion, well exceeding the per-unit cost of a nuclear-powered Virginia-class submarine ($2.688 billion), and with the program's large development costs now attributable to only three ships, rather than the 32 originally planned, the total program cost per ship jumped. In April 2016 the total program cost was $22.5 billion, $7.5 billion per ship.

Henry Gifford disagrees with the implication:

I am no fan of runaway government spending, and waste, and stealing, but I applaud the decision to stop construction of the Zumwalt ships when it became apparent they were not what the navy wanted. It would have been better for the egos and careers of senior Navy officers to make believe the Zumwalt ships were desirable and keep making them, then quietly retiring.

The "peacetime" military has a huge challenge predicting what weapons will work well in the next war. At the same time, the military needs to maintain some shipbuilding capacity in the US, so that ships can be made in the US in the future. Maintaining shipbuilding capacity requires continuously building navy ships, needed or not needed, as the capacity to build ships in the future is critical. I haven't heard about anyone putting numbers on the value of this capacity.

Before WW2 the US has a robust shipbuilding industry that shifted to building navy ships, and ramped up for increased production. In the years since, that industry has gone away, except for a few pleasure boats and for military craft. One version I heard was that the last time ships were manufactured in the US installing a porthole required work by members of thirteen different unions, a problem presumably not faced in the places where the shipbuilding industry is robust today. With no significant shipbuilding industry in the US now, outside of military ships, the navy needs to keep building ships. (I think navy ships don't have many portholes, which probably avoids on of the challenges formerly faced by the commercial shipbuilding industry in the US).

One version of the Zumwalt story I heard is that much of the Zumwalt superstructure was made of Aluminum, to save weight, especially high up where saving weight increases stability and/or frees up capacity for mounting weapons high up, while the lower parts of the structure and hull were made of steel, and the dissimilar metals reacted with each other (happens quickly in the presence of salt water), resulting in terrible corrosion and structural damage. The Aluminum superstructure idea has been tried on naval ships before, but as Aluminum burns in a fire, it is not without risk to crew and ship in battle.

Another version of the story I heard is that the ship was designed for weapons which never materialized, thus the ships were cancelled. It all sounds logical, but somehow doesn't have the ring of truth that the version above has.

I also note that the Zumwalt ships were significantly larger than the Burke class ships made before and after it, and it seems quite believable (to me) that the navy simply wanted a larger number of smaller ships. Once upon a time the larger a battleship was the larger the guns it could carry and thus it had the firepower to shoot further than opponents, which meant it had the capability to maneuver to where an enemy was within range of its guns, while staying out of range of the enemy's guns. This battle-winning capability was worth the cost of huge ships. Now in the age of missiles and radar, the size of a ship is not nearly as relevant. During WW2 German soldiers reportedly said "one of our panzer tanks is worth ten of those American Sherman tanks, but every time we build one panzer they build eleven Shermans". As tank-on-tank battles were not the main, or main intended use of tanks, eleven OK tanks had many, many advantages over one superior tank. The US Navy might have decided that for similar reasons they are much better off with a larger number of smaller ships than a smaller number of Zumwalt ships. I would be surprised if the actual truth about the decision is ever made public, and more surprised if I was ever convinced that I was convinced the real reason(s) was made public.

The math about per-unit cost when development cost is amortized over the number of units produced is, I think, useful, but implies that development cost for something that never saw production or only went into limited production was somehow wasted.

The US navy now has hard data on the seakeeping ability of a full-scale tumblehome hull ship design, which I think nobody had before the Zumwalt actually went to sea. No, testing a scale model is not a robust test because much in fluid dynamics does not scale (google "Reynolds Number"). And if computer modeling alone was good enough nobody would have wind tunnels. The history of airplane development is full of planes that were built and flown in very small numbers, with the data helping to inform future designs. As the Zumwalt was such a radical design, departing so far from normal shipbuilding experience and formulas (google "metacentric height", "center of buoyancy", and "center of gravity"), it, I think, deserves to be thought of in much the same way as plane designs that saw very limited production and saw testing, and informed future designs in a useful way.

The US navy also has hard data on the radar signature of a tumblehome hull design, which nobody else has unless they pointed their radar sets at a Zumwalt class ship while configured for battle. I somehow doubt the US Navy sailed the Zumwalts close to the coast of Russia unless they added radar reflectors to them to mask their actual wartime radar signatures.

Maybe someone on the list developed and tested a trading strategy and found it lacking, then used the insights gained to test another strategy that turned out to be useful. Was the cost of developing and testing the first strategy wasted? I think not.

Carder Dimitroff writes:

Henry, your comment about aluminum reminded me of nuclear power plant design. For the reasons you state, aluminum is not allowed inside the containment (reactor building). Copper and stainless steel are used in place of aluminum. Outside the containment, aluminum is everywhere. I assume the US Navy requires similar standards for their nuclear submarines and aircraft carriers. Many design features in commercial nuclear plants originate from the nuclear navy.

Oct

7

From Carder Dimitroff:

Note: 1 GW = about 1 nuclear power plant.

US DOE/EIA: Batteries are a fast-growing secondary electricity source for the grid.

Utility-scale battery energy storage systems have been growing quickly as a source of electric power capacity in the United States in recent years. In the first seven months of 2024, operators added 5 gigawatts (GW) of capacity to the U.S. electric power grid, according to data in our July 2024 electric generator inventory. In 2010, only 4 megawatts (MW) of utility-scale battery energy storage was added in the United States. In July 2024, more than 20.7 GW of battery energy storage capacity was available in the United States.

From Kim Zussman:

Argentina Scrapped Its Rent Controls. Now the Market Is Thriving.

For years, Argentina imposed one of the world’s strictest rent-control laws. It was meant to keep homes such as the stately belle epoque apartments of Buenos Aires affordable, but instead, officials here say, rents soared.

Now, the country’s new president, Javier Milei, has scrapped the rental law, along with most government price controls, in a fiscal experiment that he is conducting to revive South America’s second-biggest economy.

The result: The Argentine capital is undergoing a rental-market boom. Landlords are rushing to put their properties back on the market, with Buenos Aires rental supplies increasing by over 170%. While rents are still up in nominal terms, many renters are getting better deals than ever, with a 40% decline in the real price of rental properties when adjusted for inflation since last October, said Federico González Rouco, an economist at Buenos Aires-based Empiria Consultores.

From Asindu Drileba:

Fraud, So Much Fraud

Charles Piller and the team here at Science dropped a big story yesterday morning, and if you haven't read it yet, you should. It's about Eliezer Masliah, who since 2016 has been the head of the Division of Neuroscience in the National Institute on Aging (NIA), and whose scientific publication record over at least the past 25 years shows multiple, widespread, blatant instances of fraud. There it is in about as few words as possible.

It turns out that alot of FDA drug approvals where based on this guy's research (a few listed in the article). I wonder what effect it may have on pharmaceutical businesses based off his research. Imagine spending decades & billions on a drug whose prior research turn's out to be completely forged (photoshopped images). This looks really bad for the Alzheimer's drug focused pharmaceutical industry.

From David Lillienfeld:

This is a comparison of international drug prices. U.S. gross prices are higher than those in comparison countries for all drugs and for brand-name originator drugs but lower for unbranded generic drugs.

Oct

5

Larry Williams comments:

Yield curve is very bullish at this time - it is so misunderstood.

Peter Ringel does some counting:

I found a FED Cut gives some bear pressure on SPY 5, 10 days after. Then it goes into meaningless regarding SPY.

only T+5 , T+10 are probably significant. We just crossed the end of that bearish pressure.

T+1 10000 reshuffled - Observed difference: -0.03, Bootstrap p-value: 0.8573
T+5 10000 reshuffled - Observed difference: -0.96, Bootstrap p-value: 0.0206
T+10 10000 reshuffled - Observed difference: -1.13, Bootstrap p-value: 0.0514
T+20 10000 reshuffled - Observed difference: -0.88, Bootstrap p-value: 0.2829

(a work in progress)

Oct

4

A paper co-authored by Andrew Gelman who is a high-profile writer on statistics at Columbia:

Why we (usually) don’t have to worry about multiple comparisons*
Andrew Gelman, Jennifer Hill, Masanao Yajima
July 13, 2009

Abstract

Applied researchers often find themselves making statistical inferences in settings that would seem to require multiple comparisons adjustments. We challenge the Type I error paradigm that underlies these corrections. Moreover we posit that the problem of multiple comparisons can disappear entirely when viewed from a hierarchical Bayesian perspective. We propose building multilevel models in the settings where multiple comparisons arise.

Multilevel models perform partial pooling (shifting estimates toward each other), whereas classical procedures typically keep the centers of intervals stationary, adjusting for multiple comparisons by making the intervals wider (or, equivalently, adjusting the p-values corresponding to intervals of fixed width). Thus, multilevel models address the multiple comparisons problem and also yield more efficient estimates, especially in settings with low group-level variation, which is where multiple comparisons are a particular concern.

[ … ]

The Bonferroni correction directly targets the Type 1 error problem, but it does so at the expense of Type 2 error. By changing the p-value needed to reject the null (or equivalently widening the uncertainty intervals) the number of claims of rejected null hypotheses will indeed decrease on average. While this reduces the number of false rejections, it also increases the number of instances that the null is not rejected when in fact it should have been. Thus, the Bonferroni correction can severely reduce our power to detect an important effect.

Here is a widely-read blog Gelman co-authors.

Oct

2

Cognitive dissonance 2: "i think the former president did a 'hades of a job'", but prob of winning fell from 60% to 45% from 1 day before to 1 day after.

one is reading again don quixote where his household throws away his books on chivalry because they believe it contribute to his supposed madness. along comes this article and headline from charles schwab "how to identify head and shoulders patterns."

my goodness - at this stage in our education 70 years after magee on technical analysis and 120 years after it was first recommended in The Magazine of Wall Street. even sancho would throw up his hands in disbelief.

Vic's X/twitter feed

Oct

2

Anyone else sick of the idea that gamblers are best at financial markets? Why aren't the champion players the richest in the world? Would you hire a gambler to manage your life savings? Don't gamblers (Livermore, etc) die broke?

Why This Wall Street Firm Wants Its Traders to Play Poker

Young traders who join the trading giant Susquehanna International spend at least 100 hours playing cards during a 10-week training program. When the stock market closes at 4 p.m., they often head straight from the trading floor to a dedicated poker room at the firm’s headquarters in the Philadelphia suburbs.

Jeff Yass, Susquehanna’s co-founder, sometimes joins in, scrutinizing hands new hires play and gauging how effectively they bluff. Thousands of employees, from traders to technologists, participate in the firm’s annual poker tournament. At least three have notched wins at the World Series of Poker in Las Vegas.

Big Al offers:

Trading Is a Lot Like Poker

Peter Ringel writes:

I agree to all the points from the trading side. I know the basics of poker, but not a skilled player. Not even a novice. It makes sense to use the filter "skilled poker player" for manager selection. But how to become a skilled player ? Is it easier to become skilled in poker vs a skilled trader? I suspect it is a similar hard battle.

Asindu Drileba comments:

The problem with "skill level" is that they kind of translate differently. Warren Buffet for example is a Bridge addict. (Bridge is also a game of chance like poker) He (Buffet) is definitely an "above average skill player", but nit amongst the top 20 in the world. In investing however, Buffet may be regarded as part of the top 5.

The same goes for other financiers. Sam Altman (top VC in Silicon Valley), Jason Calcanis (Top VC in Silicon Valley), Charlie Munger were probably above average poker players but their edges were stronger in the finance & investing world — but all these attribute poker to their success.

Big Al writes:

1. Poker is very different from other casino games. There is a lot of skill involved, a lot of math (at the higher levels), a deep understanding of game theory (at the very high levels), and there are many more decisions to be made in poker compared to, say, roulette. Most poker pros probably wouldn't call poker "gambling", though some are degen gamblers when they walk away from the poker table.

2. Poker is a lot like the other casino games in that, for most people, the best decision is not to play. Like in markets, where the best decision for most is not to trade but just buy a diversified portfolio and hold it for a long time.

3. But firms like Susquehanna are not advising "most people" and they're not buying and holding SPY. For them, poker is a good way to assess and develop various skills that are relevant to hacking the market and making big bets. Poker is a great laboratory for testing "risk tolerance".

4. The poker "ecosystem" is a lot like the trading market in that there is a need to keep getting new suckers to enter at the bottom level and convince them they can win.

Oct

1

Empire, Incorporated: The Corporations That Built British Colonialism

Across four centuries, from Ireland to India, the Americas to Africa and Australia, British colonialism was above all the business of corporations. Corporations conceived, promoted, financed, and governed overseas expansion, making claims over territory and peoples while ensuring that British and colonial society were invested, quite literally, in their ventures. Colonial companies were also relentlessly controversial, frequently in debt, and prone to failure. The corporation was well-suited to overseas expansion not because it was an inevitable juggernaut but because, like empire itself, it was an elusive contradiction: public and private; person and society; subordinate and autonomous; centralized and diffuse; immortal and precarious; national and cosmopolitan-a legal fiction with very real power.

Sep

30

Interesting, for the history of market prognostication:

Part 1

On May 27, 1981, Joseph Granville addressed a standing-room-only audience in the Science Lecture Hall at the University of California, Irvine campus. The event was sponsored by the Graduate School of Management and I served as the Master of Ceremonies.

In the first hour Joseph Granville was supposed to explain his theories to us. The hour proved entertaining with many anecdotes and stories, but the theories were not explained.

Part 2

Part 3

Peter Ringel offers:

You guys probably already found his interview on CWT:

EP 109: The man who beat the dealer, and later, beat the market – Edward Thorp

The man gamed Casino Roulette on a mechanical level and was probably targeted by the mafia back then.

Sep

29

The Seven Pillars of Statistical Wisdom, by Steve Stigler, provides an illuminating and entertaining foundation for statistical activity. The seven pillars are Aggregation, Information, Likelihood, Intercomparison, Regression, [Experiment] Design, and Residuals. Every page of the book contains something fascinating and instructive.

It is at once an adventure story, a history lesson, a textbook on the foundations of statistics, and a tour de force with ingenious extensions of the works of the great in each field in Stigler's own inimitable hand — a persona that reminds one of Stigler's heroes, Galton himself.

The level of the book is such that the layman and the expert will both gain from it. I found every page insightful and it uplifts one to be part of a field with so many ingenious founders, and to know that there are such pillars that hold the edifice up.

I recommend the book highly. It is a masterpiece classic that will live forever.

Sep

28

Lana Del Rey — My boyfriends really cool, but he is not as cool as me. Cause I'm a Brooklyn Baby. An interview recently posted here with The Chair — "I attribute your being humble to being from Brooklyn" (interviewer referring to The Chair). Another person I listen to - Such mistakes can only be made by people who have not spent a lot of time in Brooklyn. Brooklyn comes up so many times. What's is there to know about it? Of course I have heard of people talking about other cities.

But people that talk about Brooklyn always say it like there is something they know which others don't know. What is in Brooklyn? What does it do to people?

David Lillienfeld adds:

In the epidemiology world, when one of the organizations meets in Manhattan, inevitably someone will suggest to the younger members to go across the Brooklyn Bridge and experience Brooklyn. There is definitely something about Brooklyn that focuses one's thoughts.

Steve Ellison offers:

The Chair wrote a whole chapter on this topic, the first chapter of Education of a Speculator, titled Brighton Beach Training.

Laurel Kenner suggests:

Survivors go there when they get to America.

Alex Castaldo responds:

Agreed, immigrants from Central and Eastern Europe often arrived in Brooklyn as a first step towards success and acceptance in America.

H. Humbert writes:

There is a hierarchy among the real estate developers of New York. Those who develop real estate (especially large commercial buildings) in the central area (the island of Manhattan, also known as New York County) consider themselves socially above the multimillionaires who develop property in the boroughs of Brooklyn, Queens, Bronx and Staten Island. They refer to Manhattan as simply "the City" and seldom go to the other boroughs (other than to take an airplane at LGA or JFK airports, which are in Queens).

Donald Trump's father was a developer of large number of properties all of which were in Queens and Brooklyn and he considered Manhattan development too financially risky. He was quite wealthy but in view of the above was not considered a "major New York developer", like Roth, Reichmann and other well known names.

His son Donald was very ambitious and wanted to move up in society. Contrary to his father's policy he took a gamble and decided to put up a large building, the Grand Hyatt Hotel on 42d street in Manhattan. The project was completed in 1978 and Donald Trump joined the ranks of major NY real estate developers. (What the other developers thought of his operation is another subject and requires a separate article). Even if he wasn't fully accepted by all, when his daughter married a member of the Kushner family, another prominent Manhattan developer, a few years later, it confirmed that the Trump family had reached the first rank among New York's wealthy families. But Donald Trump, having overcome his Queens handicap and shown that he could do better than his father, was not quite satisfied and he decided to enter national politics.

In summary, there is a slight prejudice against people from Queens and Brooklyn, which sometimes causes people to be even more motivated to succeed and be accepted.

In addition Brooklyn has its own distinct accent, which causes the prejudice to be slightly greater. If you would like to know what a Brooklyn accent sounds like you can listen to any speech by Janet Yellen. When she was in line for a top job in Washington, a previous Treasury secretary (probably hoping to get the job himself) mentioned her accent as a reason she should not be appointed. She got the job anyway. Another success for Brooklyn.

Jeff Watson gets musical:

Steely Dan nailed it.

Sep

27

I am curious about the claim that hedge fund alpha derives from timing entries and exits in high-vol stocks. There are lots of interesting trailhead links provided, too.

Hedge funds and the positive idiosyncratic volatility effect
Turan G. Bali, McDonough School of Business, Georgetown University
Florian Weigert, Institute of Financial Analysis, University of Neuchatel, Switzerland and Centre for Financial Research, Cologne, Germany
This Version: July 2023

Abstract

While it is established that idiosyncratic volatility is negatively priced in the cross-section of stock returns, the relation between idiosyncratic volatility and hedge fund returns is largely unexplored. We document that hedge funds with high idiosyncratic volatility earn higher future risk-adjusted returns of 6 percent p.a. than hedge funds with low idiosyncratic volatility. The outperformance arises because hedge funds trade high idiosyncratic volatility stocks wisely. They pick high volatility stocks when they are underpriced and short-sell high volatility stocks when they are overpriced. Our results support the notion that hedge funds’ idiosyncratic volatility is a measure of managerial skill.

Sep

26

performing an informal content analysis of fox news 50 articles, the news about vp is overwhelmingly negative. however, she still leads in the odds by at least 5 percentage pts. under circumstances the other side's insistence they won debate is blind. this refusal to accept reality should lead to all sorts of negative results.

meanwhile, in books:

The Walking Drum is an erudite louis lamour adventure about 12th century business.

the book The Merchant in Medieval Europe is one of the most scholarly and complete I have ever read. A summary on the back cover is very apt. the book made me realize that most of my commercial inspirations were merely following the paths set by our predecessors.

some chapters: the merchant in the 13th century, trading companies, commercial correspondence, bookkeeping and commercial correspondence, arithmetic insurance, banking, interest rates, fairs, money supply, information, careers, exchange, brokers.

Power and Profit, an alternate title, is beautiflly illustrated with 200 prints and maps. "an academic classic that can be read purely for pleasure."

a well lived life: Peter Spufford

More:

Money and Its Use in Medieval Europe, by Peter Spufford.

Money and Its Use in Medieval Europe - Three Decades On - Essays in Honour of Professor Peter Spufford

Vic's X/twitter feed

Sep

25

Smörgåsbord

September 25, 2024 | Leave a Comment

Jeff Watson likes info on the softs:

Here’s a copy of a magazine that offers a high level view of all things agricultural:

Farm Futures

Carder Dimitroff is watching lithium batteries:

Utility Dive: Lithium battery oversupply, low prices seen through 2028
Despite falling raw material costs and U.S. policy support, North American battery suppliers are delaying or canceling planned capacity investments

Bloomberg: Why Public EV Chargers Almost Never Work as Fast as Promised
Most public machines in the US average about half their maximum speed, a gap that risks hindering further adoption of electric cars.

David Lillienfeld follows pharma:

Immuno-oncology drugs have changed oncology and required rewriting of many sections of medical texts. They have created a revolution. That doesn't mean they are without downsides.

A decade of cancer immunotherapy: Keytruda, Opdivo and the drugs that changed oncology
Medicines that can rev up the immune system against tumors have reshaped expectations of what cancer treatment can accomplish. Their success has hit limits, however.

Sep

23

Methods of trade

September 23, 2024 | Leave a Comment

three highly recommended books:

The History of Money

Power and Profit: The Merchant in Medieval Europe

The Warriors Path

all show how commerce, fairs and bazaars, and bourses in the 1100-1400 era showed the way for all modern methods of trade.

Vic's X/twitter feed

Sep

22

Ever choke during a big event?

The Brain Really Does Choke Under Pressure
Study links choking under pressure to the brain region that controls movement

Have you ever been in a high-stakes situation in which you needed to perform but completely bombed? You’re not alone. Experiments in monkeys reveal that ‘choking’ under pressure is linked to a drop in activity in the neurons that prepare for movement.

The researchers found that, in jackpot scenarios, the activity of neurons associated with motor preparation decreased. Motor preparation is the brain’s way of making calculations about how to complete a movement — similar to lining up an arrow on a target before unleashing it. The drop in motor preparation meant that the monkey’s brains were underprepared, and so they underperformed. To a certain extent, “you just don't perform better as the reward increases”, Moghaddam says.

Asindu Drileba writes:

This seems related something psychologists call habituation (defined as the diminishing of an innate response to a frequently repeated stimulus). I leaned about it from Daniel Cohen, the first economist I actually enjoyed reading (I recommend the books Prosperity of Vice, Homo Economics). Daniel Cohen mentioned that "habituation" is the reason why in some instances adding financial incentives makes people perform worse at a task.

He gives an example of a Kindergarten School experiment. The school had a problem with parents coming late. So the school said that for every time a parent comes late to pick their child they will be fined a certain amount (lest say $10 every time you come late to pick up your child). The result was that more parents actually came late to pick their kids.

The psychological interpretation might be that parents eventually valued money less than that coming late. So paying a fine made them feel like they have "paid off their sin" that is, the monetary fine erased their guilt.

Daniel Cohen also thinks we are all going to be immortal some day. Here is a nice podcast where he talk about his ideas.

Sep

18

now 8 percentage differential in favor of vice pres. the more things emerge as favoritism in debate, the greater the differential.

it took 12 days for a 20-day high and months for an all-time high which comes auspiciously for Hayek's road.

average number of consecutive decreases in fed rates after a turning point to a decline is 14.

In light of the progress on inflation and the balance of risks, the Committee decided to lower the target range for the federal funds rate by 1/2 percentage point to 4-3/4 to 5 percent.

Forbes Advisor: Federal Funds Rate History 1990 to 2024

Plenty of other data factor into Fed monetary policy decisions, including gross domestic product (GDP), consumer spending and industrial production, not to mention major events like a financial crisis, a global pandemic or a massive terrorist attack.

To that end, we’ve structured this compendium of fed funds historical data with narratives about the different factors that informed the Fed’s decisions. The central bank may be staffed by officious economists, analysts and business experts, but it’s also highly responsive to the changing political winds.

the swings in S&P futurs in last half hour from up 30 to down 15 and now +20 reminds me of how a loser in a squash game flails around with a big swing and no caution hitting all three walls on each shot. one fine player whose forefather lost the american revolution in the battle of Long Island hit one with all his power at my head when he was behind in a situation like this. i imediately called for the ref to default him, to no avail.

what was the match beween federer and djoko where federer was up match point and served to djok backhand and djok gave up and shot a hail Mary from his back hand and he won the match?

Djokovic's INSANE Comeback Against Federer! | 2011 US Open Semifinal

Vic's X/twitter feed

Sep

18

A Perspective on Quantitative Finance: Models for Beating the Market, Ed Thorp © 2003
Quantitative Finance Review

From the first section, on his card-counting research and successful play:

The relevance to finance proved to be considerable. First, it showed that the “gambling market” was, in finance theory language, inefficient (i.e. beatable); if that was so, why not the more complex financial markets? Second, it had a significant worldwide impact on the financial results of casinos. Although it did create a plague of hundreds and eventually thousands of new experts who extracted hundreds of millions from the casinos over the years, it also created a windfall of hundreds of thousands of hopefuls who, although improved, still didn’t play well enough to have an edge. Blackjack and the revenues from it surged.

(See Beat the Dealer for more detail on Thorp's blackjack strategies.)

Sep

16

Cognitive dissonance

September 16, 2024 | Leave a Comment

odds in favor of vp reaches maximum with a 6% lead over former Pres. and former Pres claims he won the debate handily. as Soros liked to say: the more he talked about his honesty, the more closely i counted my silver.

perfect example of cognitive dissonance in our time.

She attracted a group of followers who left jobs, schools, and spouses and who gave away money and possessions to prepare to depart on a flying saucer that, according to Mrs. Keech, would arrive to rescue the true believers. Given the believers’ serious commitment, Festinger wondered how they would react when the prophecy failed. He and his colleagues, posing as believers, infiltrated Mrs. Keech’s group and kept notes on the proceedings surreptitiously.

The believers shunned publicity while they awaited the flying saucer and the flood. But when the prophecy was disconfirmed, almost immediately the previously most-committed group members made calls to newspapers, sought out interviews, and started actively proselytizing.

Festinger was unsurprised by the sudden proselytizing after the prophecy’s disconfirmation; he saw the cult members as enlisting social support for their belief to lessen the pain of its disconfirmation. Their behaviour confirmed predictions from his cognitive dissonance theory, whose premise was that people need to maintain consistency between thoughts, feelings, and behaviours.

a question out of the blue????? "would you have a Republican in your cabinet?" one would like to have the moderators predicting stock prices?

Vic's X/twitter feed

Sep

15

Vic tweeted that "after 5 down days in a row for S&P, it's very bullish. 5 days later only 2 of ten down with high positive expectation especially with bonds up and last one down."

That provoked a quick counting project. The main issue with this analysis is that everything is overlapping, but nonetheless I think it's an interesting result.

The data is SPY adjusted closes from inception thru 6 Sept. I identified all the down days and the streaks of down days, including 1-day "streaks", up to the longest which were 8-day streaks. So each down day fell into a bin, 1 up to 8. Each down day was put in a bin, whether it was the last day in a streak or not. (This eliminates the look-ahead bias of just considering only the final day of streaks.)

Then I calculated the 5-, 10- and 20-day % moves for every day in the data and compared the results for all the down days with the % moves for all days.

The table shows the results, with the best outcomes - streaks of 3, 4, and 5 days - highlighted.

Sep

14

the more he claims he won, the greater the odds against him. reminds me so much of the refereeing against me in the 1970's. of the 5 national singles i won, my opponent in finals didn't reach double digits. that was the only way for me to overcome bias.

Ed. - Racket Guy from Brooklyn, Sports Illustrated, March 03, 1975:

To the victor—Victor Niederhoffer, that is—belongs another silver pitcher. Last week in New York, at 31, he won the U.S. National Singles Squash Racquets championship for the fifth time. His opponents did little but gasp, sweat and run. But Niederhoffer seemed to play effortlessly. His shots were not always brilliant, but he patiently waited out long rallies, and his frustrated opponents consistently found themselves in situations where most of their moves were of high risk. And then they were forced to make mistakes which ruined them.

reminds me of what my father always said when people told him how good he looked as he was suffering from chemo: "thank you, i'll be the healthiest corpse in the graveyard."

the symmetry of it all. last week 5 down days in a row - from 5659 to to 5515. this week 5 days up in a row from 5421 to 5630.

Vic's X/twitter feed

Sep

13

Politics, money

September 13, 2024 | Leave a Comment

the forces of regulatory capture won the debate handily and that is good for the stock market. more emoluments to business. more centralized control, or as Waltz says, "neighborliness".

As money mutates into a new form that demands all kinds of markets, new ways of making financial transactions, and new kinds of business.

From: The History of Money, by Jack Weatherford.

From primitive man's cowrie shells to the electronic cash card, from the markets of Timbuktu to the New York Stock Exchange, The History of Money explores how money and the myriad forms of exchange have affected humanity, and how they will continue to shape all aspects of our lives–economic, political, and personal.

Vic's X/twitter feed

Sep

12

Book Review by Victor Niederhoffer: The Math Behind the Music (25 Sept, 2006)

The Math Behind the Music (Cambridge University Press, 2006) by Leon Harkleroad, will be of interest to musicians, mathematicians and marketicians. In a form that is accessible to every layman, the author describes the elementary mathematical principles behind sounds, instruments, compositions and visual aspects of scores in just 135 pages with a nice section of references and an included CD that covers examples of music that used math. No background is required as even such simple lower-school concepts as the factorial are developed by counting.

The first chapter is about the connections, history, common abstract patterns, and the composers and compositions that used math. The second chapter is about the physical basis of harmony, pitch and timbre that make up music. Considerable attention is paid to the frequency relations of various harmonies, and it's a good refresher for those who don't remember off the top that a fourth comes from any note by raising its frequency by 4/3, a fifth by raising its frequency by 1/2 and an octave by doubling. Sine curves are introduced to encapsulate the frequency patterns of various notes produced at different pitches by different instruments. Overtones are explained simply as the ratios of higher frequencies that a note produces that don't block out the original frequencies and the relation between harmonies and overtones is shown.

The third chapter discusses instrument tuning systems consistent with all the overtones and frequency relations between the notes of a scale.

The fourth chapter is the most interesting in that it shows how themes and melodies can be varied with simple rules such as opposition, inversion, and transposition. The relation between these simple rules and group theory are examined, and various ways of notating and combining the rules are covered.

The fifth chapter is about bell music, which is merely a variation of permutation and combination theory.

The sixth chapter is about randomization in music, with many of the same methods used to construct music as we use for simple simulations in markets.

The seventh chapter is about an attempt by one student to find the common basis, the patterns of harmony that make up the most popular songs. The eighth chapter is about how scores of music can be developed from visual cues, with rules to go from visual to music.

The ninth and final chapter is about failed efforts to combine music and math, with particular reference to George Birkhoff's efforts to develop a complete theory of aesthetics by developing a scale of beauty based on the simplicity-to-complexity ratio of a composition.

I found myself thinking many times of the relations between music and markets as I read the book. The combinations of opposites and inversions (where the intervals above a note and played the same intervals below, and transpositions (where the same theme is repeated a given number of intervals up) happens every day in the markets. The notation that musicians have developed to grapple with these techniques, including the summary of horizontal and vertical movements in visual sightings that the composer Villa-Lobos used to construct symphonies that depict buildings in a city, seems like a very fruitful field to augment technical analysis of markets.

The book is full of anecdotes and charts and methods that will be right on the top of the page for market practitioners, and will spark many a fruitful extension by those who wish to take the pencil to paper, and systematize what they have been doing in markets or charting with the work of some great composers and mathematicians in this related field.

Laurence Glazier offers:

This sounds a fine book. Abstract shapes indeed can be used for thematic material, in my chess days I considered using the outline of pawn structures like black's in the Dragon Variation. My mentor uses the letters in his friends' names. Music is developed by changing patterns in various - ever-changing! - ways, whether transposition, inversion, speed-changing, and I would add to the list in the book the use of rotation, a technique Chris Sansom and I used in the Fractal Music software. All this (except presumably rotation) applies in trading. The issue is whether it is predictive for traders, and that is akin to trying to predict what a Bach would do, the patterns are especially evident once they have happened.

Asindu Drileba adds:

The work of Dmitri Tymoczko might also be interesting for those that want to understand the relationship between randomness and music.

Sep

10

It's a critique of the relatively famous Kahneman et al study on how meal breaks affected sentencing by judges:

Impossibly hungry judges

Which also led to more background, because I had not heard of "Cohen's d":

Effect sizes

Jacob Cohen (statistician)

Sep

9

Bud Conrad comments:

The US BLS understates inflation, which causes the calculation for Real GDP growth to become overstated. Thus, we have a recession going on, but it is hidden by the BLS's low inflation rate. The rich are doing well as asset prices have risen; the rest have lost ground because the cost of everything has increased more than the labor rates.

Ditto on jobs and employment that suggests there are lots of new jobs every month, but then restates the number downward in succeeding months, which accumulated to 818 K jobs that are overcounted in the year ending March.

The supposed Fed's being "data dependent" is a cop-out from thinking "How to stabilize the dollar", meaning that they claim they will use these corrupt numbers for policy decisions.

Sep

7

Buildings Don't Lie: Better Buildings by Understanding Basic Building Science
Hardcover – January 1, 2017
by Henry Gifford (Author)

A simple, clear, thorough, and complete explanation of basic building science applicable to any building in any climate. Over 1,000 large color drawings and photos, plus fun quizzes. No charts, graphs, or math. Read this book and become your own expert on making buildings comfortable, healthy, safe, durable, and very energy efficient, because you will understand the underlying science of the movement through buildings of heat, air, water, light, sound, fire, and pests, and how these can be controlled. This book also includes sections on designing building enclosures, indoor air quality, choosing heating and cooling systems, and how to ventilate, heat, and cool different types of buildings.

Henry Gifford comments:

Yes, I wrote and published that book, now in its fourth printing. Book is divided up into chapters on basic science, nothing about buildings, followed by that science applied to buildings, to learn the science better and to understand buildings better. Could ruin some of your teenage offspring for some college science classes.

Gyve Bones appreciates:

I am grateful and obliged to Henry for his magnificent book. I have long lamented not having an owner's manual for my house and this would seem to fill that need—not only the owner's manual, but the service manual as well, and along the way lessons in physics, fluid dynamics, thermodynamics, natural philosophy, and practical engineering. Very well illustrated and pains-takingly explained. I am enjoying learning so much I took for granted or was ignorant of in the science and technology of creating and maintaining a comfort-able habitable shelter.

Sep

5

From Ask the Specs, by Victor Niederhoffer, Laurel Kenner, and Dr. Brett Steenbarger (December, 2003):

May I issue a call for an emphasis on predictive distributions rather than descriptive studies? By predictive, I mean, a study that:

• enumerates all observations of what has happened after a defined market event over a specific period of time;
• weighs whether the results indicate a random phenomenon or a tradable anomaly;
• measures the uncertainty associated with the latter conclusion; and
• predicts the probability that an x-percent move will follow the event being studied.

Based on my experience, the biggest mistake a trader can make is to concentrate on “advanced” methods such as Hurst exponents, regression coefficients, Fourier series, chaos, wavelets, fractals, et al. Unfortunately, all of those sophisticated techniques will get you nothing but a barrel of retrospective nothingness.


The key is to find a measure that can be calculated often and independently and then use it to predict. For example, what happens in the next one, five and 10 days after stocks reach a 20-day low? The philosophic memory and longings and expectations of the market are of great interest, but I have found queries as to whether they trend or reverse in accord with Prechter or Fibonacci or Elliott a distraction to the pursuit of profitable trading.

You could put the 100 smartest academics in the world in a room and let them try to predict the market for 100 years, and unless they were steered on a path to make fruitful predictions with readily ascertainable estimates of uncertainty, constantly adjusting for ever-changing cycles, they would achieve below-random results. The numerous professors I have hosted and supported in my office have not disabused me of this assessment.

Sep

4

Richard Hamming, "You and Your Research", June 6, 1995 (44:02)

The Art of Doing Science and Engineering: Learning to Learn was the capstone course by Dr. Richard W. Hamming (1915-1998) for graduate students at the Naval Postgraduate School (NPS) in Monterey California.

This course is intended to instill a "style of thinking" that will enhance one's ability to function as a problem solver of complex technical issues. With respect, students sometimes called the course "Hamming on Hamming" because he relates many research collaborations, discoveries, inventions and achievements of his own. This collection of stories and carefully distilled insights relates how those discoveries came about. Most importantly, these presentations provide objective analysis about the thought processes and reasoning that took place as Dr. Hamming, his associates and other major thinkers, in computer science and electronics, progressed through the grand challenges of science and engineering in the twentieth century.

Sep

3

Sydney Morning Herald: Three Months to Back Up the Grid as Risk of Summer Blackouts Ramps Up.

Interesting Engineering: Australia Is Generating Too Much Solar Power (12:25).

IMO, expect:

1. volatile wholesale energy prices, including deeply negative prices,
2. forced load shedding and expanding demand-response programs,
3. sudden awareness that infrastructure is needed,
4. growing reliance on natural gas/ LNG, and
5. growing interest in competitive energy contracts

Sep

2

Counting: Seasonality

September 2, 2024 | 1 Comment

A lesson from the archives: Seasonality and changing cycles, by Victor Niederhoffer and Laurel Kenner, (04/26/2004)

A good part of the anomaly literature is devoted to studies of seasonality. A basic problem with these studies is that merely picking a season to study involves making guesses as to when and where the seasonality is. For example, is it in January or December, on Monday or Friday, in the United States or the Ukraine? (Yes, our Google search turned up a study of anomalies in the Ukraine.) Thus, the very choice of a subject might involve random luck.


Another aspect of seasonality studies that must be considered is whether the effects noted are sufficient to cover transaction costs. A retrospective study showing that you can make 2 cents more on Friday trades than Monday trades in your typical $50 stock would not be sufficient in practice to leave anyone but the broker and the market-maker richer.

Thus, it's essential to temper the conclusions of such studies with out-of-sample testing — in other words, with real trading.

[ … ]

Comment by Philip J. McDonnell, a former student of the Chairman at UC Berkeley: Dr. Niederhoffer points out that there is no a priori reason to believe that any one day of the week is stronger than any other. Thus when Y— collected the data (thank you!), presumably the reason was to find out if any days of the week behaved differently. Only after peeking at the data was it possible to say that Monday was the best and Tuesday the worst.

There are 10 such pairwise comparisons:
Mon with other 4 days 4
Tues with 3 last days 3
Wed with Thu & Fri 2
Thu with Fri 1
Total 10

In other words it is also possible that Tuesday could have been the best day and Monday the worst or any other pairwise comparison by chance alone. So when the one best and the one worst day shown by the data are compared and shown to have say a 5% significance we need to remember that we implicitly ruled out the other nine cases which weren't the best or worst. So we need to take our 5% number and multiply by 10 to get the correct significance of 50%. 50% is exactly consistent with randomness.

The problem is multiple comparisons are often subtle and remain unrecognized. Multiple comparisons are insidious because they dramatically reduce the power of the statistical tests we employ.

[ … ]

[More reading: Multiple comparisons problem]

William Huggins offers:

Bonferonni method suggests raising the confidence level proportional to the number of tested hypotheses. To get 95% confidence despite ten tests, he suggests 99.5 as a threshold.  It's a huge problem when testing which variables to include in a regression model.

Asindu Drileba writes:

The right way to do this type of thing is to form a specific hypothesis based on a single comparison and then to test it on the data. It is even possible to use data from a prior period to formulate our hypothesis. We then test our hypothesis on the subsequent period which excludes the period where we formed our hypothesis.

This is an approach used in machine learning. Datasets are always split into "training" and "test" datasets. "Training" datasets are exclusively used to build the components of the model. "Test" datasets are not used to build the model at all. They are excluded when building the model. The model built using the "training" dataset is then asked to make predictions on the "test" dataset. The accuracy on predictions made on the "test" datasets is then used to determine how accurate the model is (so it can be tuned for improvement or thrown away).

I found this particular statement from the full post so insightful because I didn't think of applying this approach to building models using other statistical methods (I thought it was something limited to machine learning).

Sep

1

Executive Hobo: The Extraordinary Life of Bo Keeley
Changing Roads Podcast

Travel back in time with us as we sit down with the legendary adventurer, Bo Keeley. From his humble beginnings, to veterinary school, to his rise in fame in sports, to his break from society, trading a normal life for the hobos life, to traveling the world, to his unconventional home in a shipping container in Slab City, California, Bo's life is a testament to relentless exploration and resilience.

With every twist and turn, Bo imparts invaluable lessons on survival, curiosity, and the unyielding human spirit. This episode is a treasure trove of stories from a life lived on the edge, full of profound moments and unforgettable encounters.

Aug

31

Trader longevity

August 31, 2024 | Leave a Comment

Shigeru Fujimoto, age 88:

Video: Why the Japanese Yen Is So Volatile
Bloomberg Originals

Asahi Shimbun: 88-year-old Kobe day trader talks about his life, investing keys

Fujimoto has lived his life by the philosophy that, "You should take a chance, even at the risk of a failure, when something makes you think, ‘This is it’, whatever your age.”

He began operating mah-jongg parlors after he had a flash of inspiration saying, “This is it.” The parlors prospered, and he sold the business for 65 million yen after it had grown large enough to have three outlets.

He capitalized on his nest egg to become a full-time investor in 1986. He rode the tide of Japan’s asset-inflated economic boom of the late 1980s and increased his assets at the time to 1 billion yen.

The economic “bubble,” however, burst. There was nothing he could do as his assets slid to 200 million yen. He suffered an additional blow from the Great Hanshin Earthquake of 1995, which left the entranceway to his apartment crushed.

He fled the strong tremors with only the clothes on his back and walked barefoot on streets that were littered with glass shards. His heart drifted away from investments as he lived the life of an evacuee in an elementary school building.

A turning point came when Fujimoto became acquainted with the world of online stock trading in 2002. Fujimoto, who was 66 at the time, had never even touched a personal computer, but he was undaunted.

His approach has, of course, sometimes led him to make wrong decisions and suffer failures.

“I have stumbled not just seven, but about 50 times,” Fujimoto said in referring to a Japanese idiom that goes, “stumble seven times but recover eight.”

Aug

30

many market lessons The Warrior's Path: Wisdom from Contemporary Martial Arts Masters. concentrate on one move or trade. be humble, et al. start at 5 yrs old. stick to one martial arts. what else?

Karate: The Art of Empty Hand Fighting: The Groundbreaking Work on Karate, by Hidetaka Nishiyama (Author), Richard C. Brown:

The remarkable strength manifested by many individual karate techniques, both offensive and defensive, is not the mysterious, esoteric thing many observers, as well as certain proponents of the art itself, would have you believe. On the contrary, it is the inevitable result of the effective application of certain well-known scientific principles to the movements of the body. Likewise, knowledge of psychological principles, along with constant practice, enable the karate man to find openings and execute the proper techniques at the proper times, no matter how minute the movements of his opponent. At an advanced level, it is even possible for a karate expert to sense the movements of his opponent before they take place.

grandfather Martin's favorite song from the 1930's:

Most Gentlemen Don't Like Love

Vic's twitter feed

Aug

29

How Big Data Centers Are Slowing the Shift to Clean Energy
In Virginia’s data-center alley, rising power demand means more fossil fuels

An explosion of so-called hyperscale data centers in places such as Northern Virginia has upended plans by electric utilities to cut the use of fossil fuels. In some areas, that means burning coal for longer than planned.

These giant data centers will provide computing power needed for artificial intelligence. They are setting off a four-way battle among electric utilities trying to keep the lights on, tech companies that like to tout their climate credentials, consumers angry at rising electricity prices and regulators overseeing investments in the grid and trying to turn it green.

Ground zero for the fight is Northern Virginia’s “Data Center Alley.” About 70% of global internet traffic passes through the area’s data centers. A spider web of power lines connecting data centers to the grid crisscross neighborhoods and parks. More are coming.

Henry Gifford provides some analysis:

There are about three laws of thermodynamics, the first says that energy cannot be destroyed or created.

I’ve seen photos of data centers that allegedly use huge amounts of electricity. If that is true, all that energy enters the building as electricity and somehow has to leave as heat. I saw one photo of part of a building that looked like it had cooling equipment, but mostly I just see ominous looking buildings – maybe the photos are darkened in photoshop. If the building does not have a huge cooling system, such as a large row of large cooling towers – those machines on the roof that evaporate water, putting off a cloud of visible water droplets – or some other large cooling system - then either they don’t use much energy or the buildings are cooled by politics or magic or etc.

No, they can’t use geothermal cooling systems, those systems that put the heat into the soil under the building, because very soon that soil would heat up, rendering the cooling system inoperable. That works for a single-family house, especially if they take heat back out of the ground to heat the building during the winter, but a large building that dumps heat into the ground all year long? No, it doesn’t work.

Yes, liquid cooling is part of the picture; the liquid takes the heat from the computers, then the liquid gets pumped to something to cool the liquid. Cooling towers are a common way to cool the liquid - this is how office buildings are usually cooled. Geothermal uses the ground as a heat sink to cool the liquid. The heat goes from the computers to the liquid and then to someplace else.

Given the enormous amounts of electricity data centers are typically described as using, the someplace the heat goes cannot be very small - that something must be large.

Aug

28

often the markets move to a constellation where the expected move is different despite the similarity of the independent variables. Bacon called it ever changing cycles. the silviculturists call it a reaction norm:

A ‘reaction norm’ describes the sensitivity of an organism, or of a set of organisms of the same genotype (e.g., the members of a clone), to some specific environmental variable. It quantifies phenotypic change (or lack of change) in a selected aspect of the phenotype as a function of variation in the environmental factor of interest.

A book of interest on this and other topics:

Geographic Variation in Forest Trees: Genetic Basis and Application of Knowledge in Silviculture

Geographic Variation in Forest Trees is the first book to examine this subject from a world-wide perspective. The author discusses population genetic theory and genetic systems of native North American tree species as they interact with environments in the major climatic regions in the world. He then demonstrates how this knowledge is used to guide seed zoning and seed transfer in silviculture, basing much of his discussion on models developed in Scandinavia and North America. In the final chapter, the author addresses the issue of genetic conservation — a subject of great concern in the face of accelerated forest destruction, industrial pollution, and climatic change. This comprehensive, well-researched book makes a significant contribution to the knowledge of one of our most important renewable natural resources.

More background: Phenotypic plasticity

Vic's twitter feed

Aug

27

Applied Linear Statistical Models, by J. Neter, M. H. Kutner, C. J. Nachstein, and W. Wasserman, (Times Mirror Higher Education Group, Chicago, 1996), 4th ed.

I have been using and teaching from Neter et al.'s book on regression for 28 years now. Great book. First chapters show you how to do univariate regression via loop/summation indexing on a worked example, then they show you how to do multivariate regression using matrix notation. All the best/hard topics are covered, including multi-collinearity and prediction intervals. You need to understand regression at this level to know when it is working and not working, as well as to code it and interpret outputs from stats programs like JMP. The 2nd half of the book shows you how to do ANOVA in terms of regression.

There is a 5th edition out, and you can download the pdf from various places.

Aug

26

A Primer on Correlation and Regression, by Victor Niederhoffer
(07-Nov-2006)

Applying Regression and Correlation: A Guide for Students and Researchers, by Jeremy Miles of the RAND Corporation and Mark Shevlin of the University of Ulster, illustrates the proper and pitfall-laden path that leads to the many beautiful and illuminating things that correlation and regression can accomplish. The book is written for psychology students without any training in calculus, and it contains simple examples and extensive commentary on the regression output from standard statistical programs such as SPSS. However, the applications for psychology are almost identical to those that would be used in markets, with such variables as industries substituted for classes and companies for individuals.

And what a wonderful array of applications and extensions this book contains. I found myself augmenting my knowledge or learning something new on almost every page, and I have read many dozens of books on this subject. There are great sections on how to code your data so that you can do categorical regression, categorical covariance, structural equation analysis. There is a very good section on how to go through all the steps of logistic regression with simple examples and calculations to show how the maximum likelihood solution is computed. There is a very fine discussion of the reasons that you should never use stepwise regression and why hierarchical regression is much better. There is a complete chapter on all the computational methods of measuring the individual contributions to the prediction and the influence of each independent variable and each observation in the regression.

One of the main themes of the book that hold everything together is that everything that can be done with the usual analysis of variance techniques can be done with regression, but that regression does so much more. While I had read this before, I had never seen such a clear exposition of how to code the data so that you can actually accomplish the transformation and always come up with the more complete and useful regression solutions to such problems.

Read the complete review.

Aug

25

What is the role of Machine Learning models and Features selection in this "counting" philosphy? Have all these "new" methodologies overcome and made useless the traditional counting and statistical approach? Or can they coexist, as long as one can find a niche in which to conduct profitable operation?

William Huggins responds:

ML and feature selection run on "traditional statistics", which is basically about comparing empirical data to what randomness around a benchmark should look like. think of them as like hydraulics, which transformed the shovel into the backhoe for large operations but without rendering the "basic version" obsolete.

Big Al links:

In the Google Crash Course in Machine Learning, the first model is Linear Regression.


Archives

Resources & Links

Search