30 Pages Posted: 10 Jun 2011 Last revised: 23 May 2017
Date Written: June 6, 2011
Most theories of risky choice postulate that a decision maker maximizes the expectation of a Bernoulli (or utility or similar) function. We tour 60 years of empirical search and conclude that no such functions have yet been found that are useful for out-of-sample prediction. Nor do we find practical applications of Bernoulli functions in major risk-based industries such as finance, insurance and gambling. We sketch an alternative approach to modeling risky choice that focuses on potentially observable opportunities rather than on unobservable Bernoulli functions.
Keywords: expected utility, risk aversion, St. Petersburg Paradox, decisions under uncertainty, option theory
JEL Classification: C91, C93, D11, D81, G11, G12, G22, L83
Suggested Citation: Suggested Citation
Friedman, Daniel and Sunder, Shyam, Risky Curves: From Unobservable Utility to Observable Opportunity Sets (June 6, 2011). Cowles Foundation Discussion Paper No. 1819. Available at SSRN: https://ssrn.com/abstract=1858769 or http://dx.doi.org/10.2139/ssrn.1858769
By Guy Mayraz