Nonparametric risk management and implied risk aversion

Yacine Aït-Sahalia, Andrew W. Lo

Research output: Contribution to journalArticle

322 Scopus citations

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 assest values.

Original languageEnglish (US)
Pages (from-to)9-51
Number of pages43
JournalJournal of Econometrics
Volume94
Issue number1-2
DOIs
StatePublished - Jan 2000

All Science Journal Classification (ASJC) codes

  • Economics and Econometrics

Keywords

  • Nonparametric regression
  • Representative agent preferences
  • Risk aversion
  • Value-at risk

Fingerprint Dive into the research topics of 'Nonparametric risk management and implied risk aversion'. Together they form a unique fingerprint.

  • Cite this