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Against the Gods: The Remarkable Story of Ri

Against the Gods: The Remarkable Story of Risk

Peter L. Bernstein
1996
T1 383 pages · about 6h 23m to read Open Librarygoodreads

Summary

Bernstein traces the intellectual history of risk measurement from the absence of any probability mathematics in antiquity through to modern portfolio theory and derivatives. His organising claim is that the boundary between the modern world and the past is the ability to measure and manage risk rather than to attribute outcomes to fate.

The narrative moves through the people who built the tools. It covers the Hindu-Arabic numbering system, Cardano's gambling analysis, the Pascal and Fermat correspondence of 1654 that produced the mathematics of probability, Graunt's mortality tables, Bernoulli's expected utility and the resolution of the St Petersburg paradox, Bayes, Gauss and the normal distribution, Galton on regression to the mean, Knight on the difference between measurable risk and true uncertainty, Keynes on probability as degree of belief, von Neumann and Morgenstern on game theory, Markowitz on diversification, and Black, Scholes and Merton on option pricing.

The last section covers the behavioural challenge. Bernstein gives serious space to Kahneman and Tversky, and argues that prospect theory undermines the rational-actor assumptions that the whole edifice of risk management rests on. He wrote before the 2008 crisis and before LTCM's failure had been fully absorbed, but he raises the problem of models that assume the future resembles the past.

The book is history rather than instruction, so a reader wanting techniques will not find them. The mathematical explanations are light, which makes it accessible and also imprecise. Some of the biographical material is anecdotal. It remains the best single account of where risk measurement came from and why its assumptions were adopted.

Key takeaways 8

  1. The distinguishing feature of the modern era is the belief that risk can be measured and managed rather than attributed to fate.
  2. Probability mathematics did not exist before the seventeenth century despite thousands of years of gambling, because the required numbering system and the idea of predictable future events were both absent.
  3. Bernoulli established that people value outcomes according to utility rather than to monetary amount, which explains why a fair bet can be irrational to accept.
  4. Regression to the mean means that extreme results are usually followed by less extreme ones, and ignoring it produces systematic forecasting errors.
  5. Knight separated risk, where probabilities are knowable, from uncertainty, where they are not, and financial models routinely treat the second as the first.
  6. Diversification reduces risk without a corresponding reduction in expected return, which Markowitz demonstrated mathematically in 1952.
  7. Risk models assume the future will resemble the measured past, and that assumption is the point at which they fail.
  8. Behavioural findings about how people actually decide undermine the rationality assumption on which quantitative risk management was built.

Who should read it

Investors and risk managers who want the origins and assumptions of the tools they use daily, rather than another treatment of the tools themselves.

About Peter L. Bernstein

Founder, Peter L. Bernstein Inc.; founding editor of The Journal of Portfolio Management; economist and financial historian (1919-2009)

Against the Gods and Capital Ideas are the standard accounts of risk and of modern finance theory, read across the whole field.

Peter L. Bernstein Inc.

Who recommended it 10 · 3 direct

“I think some of the books that are a must would be Peter Bernstein's book about risk, Against the Gods: The Remarkable Story of Risk.”

“see the classic book Against the Gods: The Remarkable Story of Risk for more on this”

Howard Marksreported
Jason Zweigreported
Raoul Palreported

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Where it sits in the reference 9

Investors
Business models
Investment philosophy
Portfolio & risk
Mental models
Mental models
Mental models
Industries
Financial history

Topics

Financial HistoryMathematics and StatisticsDecision MakingGames, gambling and quantitative finance