Chaos Kings, written by Scott Patterson (a financial journalist and author of The Quants and Dark Pools) is an exhilarating account of those fund manager and traders who thrive during market chaos and crashes, as they position themselves (and their portfolios) to capitalize upon tail risk events, which are commonly referred to as a Black Swan. The author has primarily covered the story of Mark Spitznagel, who started as a commodity trader in Chicago and then worked with Nassim Nicholas Taleb (needs no introduction) on one of the earliest funds using tail risk hedging strategies called Empirica before launching his own fund named Universa, that gained fame (and earned billions) during the COVID 19 crash. He has written a book titled “Safe Haven: Investing for Financial Storms” covering his investment strategy and philosophy. There are chapters on other tail risk focused investors/economists including Didier Sornette, who terms tail risk opportunities as Dragon Kings and is knows as a Dragon Hunter. He authored a book titled Why Stock Markets Crash: Critical Events in Complex Financial Systems); and Bob Litterman who was the head of quantitative resource group at Goldman Sachs, with his focus currently on climate change risk and he is the founder of Kepos Capital. He is famous for Black Litterman model that is widely used in portfolio optimization.
The book covers various crashes of recent past including the 1987 October crash, 1998 crisis, Dot-Com crash of 2000, Global Financial crisis of 2008, a couple of mini crahes in 2010 and 2013, Volmageddon of 2018 and lastly the Covid-19 meltdown of early 2020. The focus is on how the chaos kings (Taleb, Spitznagel, Sornette and a couple of others) capitalized on such events and beenfitted greatly from their “tail risk hedges”. The last section of the book covers some of the current major risks such as climate change and technological supermacy. It also explains “The Precautionary Principle” - an idea that was forwarded by Nassim Taleb and several other co-authors in 2014.
Some of the profound messages from the book are given below and in the comments section:
The “Love to Lose” trading philosophy
“If a position started to lose money - sell immediately. Doesn't matter if you think it's going to bounce back. Doesn't matter if you think the market's wrong. Doesn't matter what you read in the Wall Street Journal that morning or what that fancy chart says. Sell, lose. Love to lose. And move on.”
“The discipline. Trading was about discipline; the rest was just detail. You have to do the opposite of what feels good. You have to put yourself in discomfort. Overcoming that means you'd be successful.”
Taleb talks about Empirica's crash-bang strategy
"In the markets, there is a category of traders who have inverse rare events, for whom volatility is often the bearer of good news," he wrote. "These traders lose money frequently, but in small amounts, and make money rarely, but in large amounts. I call them crisis hunters. I am happy to be one of them."
Universa is the counterfactual to the risk-reward calculation, Spitznagel said. "People think of risk mitigation as a liability, as a trade-off against wealth creation, because it usually is," he wrote in Safe Haven. "Universa is, if nothing else, a real-life case study and out-of-sample test that unequivocally proves the point that risk mitigation doesn't have to be viewed that way. Risk mitigation can and should be thought of as being additive to portfolios over time-with the right risk mitigation, that is."
The Pitfalls of Models
“Exactly. In finance, you are not as confident about the parameters . The more you expand your model by adding parameters, the more you become trapped in an inextricable apparatus of relationships. It is called overfitting."
Karl Popper - The author of The Logic of Discovery
One of the philosopher's most important ideas, the Falsification Principle, asserts that science doesn't advance by proving theories true-it advances by proving theories false. Hence the European belief that all swans are white was proven false when sailors discovered black swans in Australia.
A must read for people with interest in financial markets, probability theory, returns distribution, economics, decision.