Nonparametric Risk Management and Implied Risk Aversion

50 Pages Posted: 20 Jul 2000 Last revised: 3 Apr 2022

See all articles by Yacine Ait-Sahalia

Yacine Ait-Sahalia

National Bureau of Economic Research (NBER); Princeton University - Department of Economics

Andrew W. Lo

Massachusetts Institute of Technology (MIT) - Laboratory for Financial Engineering

Date Written: March 2000

Abstract

Typical value-at-risk (VAR) calculations involve the probabilities of extreme dollar losses, based on the statistical distributions of market prices. Such quantities do not account for the fact that the same dollar loss can have two very different economic valuations, depending on business conditions. We propose a nonparametric VAR measure that incorporates economic valuation according to the state-price density associated with the underlying price processes. The state-price density yields VAR values that are adjusted for risk aversion, time preferences, and other variations in economic valuation. In the context of a representative agent equilibrium model, we construct an estimator of the risk-aversion coefficient that is implied by the joint observations on the cross-section of option prices and time-series of underlying asset values. "

Suggested Citation

Ait-Sahalia, Yacine and Lo, Andrew W., Nonparametric Risk Management and Implied Risk Aversion (March 2000). NBER Working Paper No. w6130, Available at SSRN: https://ssrn.com/abstract=225895

Yacine Ait-Sahalia (Contact Author)

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Andrew W. Lo

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