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The Physics of Wall Street: A Brief History

The Physics of Wall Street: A Brief History of Predicting the Unpredictable

James Owen Weatherall
2013
T3 295 pages · about 4h 55m to read OL16637293Wgoodreads

How physicists and mathematicians came to run money; useful context for Simons.

Summary

Weatherall, a philosopher of physics, traces the movement of physical and mathematical ideas into finance through a series of biographical chapters. He starts with Louis Bachelier's 1900 thesis modelling prices as random walks, then covers Maury Osborne applying statistical mechanics to log returns, Benoit Mandelbrot arguing that price changes follow fat-tailed distributions rather than normal ones, Ed Thorp moving from blackjack to convertible arbitrage, Fischer Black and the option pricing formula, Doyne Farmer and Norman Packard's Prediction Company, and Didier Sornette's work on log-periodic precursors to crashes.

The argument the book makes is a defence. Weatherall holds that mathematical models did not cause the 2008 crisis, and that the failures came from using models outside their stated assumptions, from institutional incentives, and from ignoring what the modellers themselves said about limits. He points out that Mandelbrot and Black both wrote explicitly about when their models would fail. His constructive proposal is that economics needs the physicist habit of treating a model as an approximation valid in a specified regime, and he ends by calling for a large coordinated research effort.

The history is accurate and readable and the biographical detail is good, particularly on Bachelier's neglect and on Thorp.

The defence of the modellers is contested. Critics including Mandelbrot's own followers and Nassim Taleb argue that the problem is not misuse but that Gaussian-based risk models are structurally wrong for financial data, and that the profession's continued reliance on value at risk demonstrates it. The book also gives little space to the political economy of why banks preferred models that understated risk.

Key takeaways 7

  1. Bachelier described the random walk model of prices in 1900, five years before Einstein's treatment of Brownian motion, and was ignored for half a century.
  2. Price changes have fat tails, so extreme moves occur far more often than a normal distribution predicts.
  3. Mandelbrot published this finding in the early 1960s and the industry adopted Gaussian models anyway.
  4. Ed Thorp used option pricing and delta hedging in practice before Black and Scholes published the formula.
  5. Black and Scholes stated the conditions under which their model fails, and practitioners ignored those conditions.
  6. The 2008 failures came from applying models outside their domain of validity rather than from the mathematics itself.
  7. Economics would improve by adopting the physicist's discipline of specifying the regime in which a model is expected to hold.

Who should read it

Investors and technologists who want the intellectual history of quantitative finance and a clear statement of what the models assume.

Where it sits in the reference 2

Companies
Assets

Who recommended it 1

Book recommendations listed on their Good Books profile · aggregator only

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