Deviation Measures in Risk Analysis and Optimization
R. Tyrrell Rockafellar
University of Washington - Department of Mathmatics
Stanislav P. Uryasev
University of Florida
Stevens Institute of Technology - Department of Mathematical Sciences
December 22, 2002
University of Florida, Department of Industrial & Systems Engineering Working Paper No. 2002-7
General deviation measures, which include standard deviation as a special case but need not be symmetric with respect to ups and downs, are defined and shown to correspond to risk measures in the sense of Artzner, Delbaen, Eber and Heath when those are applied to the difference between a random variable and its expectation, instead of to the random variable itself. A property called expectation-boundedness of the risk measure is uncovered as essential for this correspondence. It is shown to be satisfied by conditional value-at-risk and by worst-case risk, as well as various mixtures, although not by ordinary value-at-risk.
Interpretations are developed in which inequalities that are "acceptably sure", relative to a designated acceptance set, replace inequalities that are "almost sure" in the usual sense being violated only with probability zero. Acceptably sure inequalities fix the standard for a particular choice of a deviation measure. This is explored in examples that rely on duality with an associated risk envelope, comprised of alternative probability densities.
The role of deviation measures and risk measures in optimization is analyzed, and the possible influence of "acceptably free lunches" is thereby brought out. Optimality conditions based on concepts of convex analysis, but relying on the special features of risk envelopes, are derived in support of a variety of potential applications, such as portfolio optimization and variants of linear regression in statistics.
measures, value-at-risk, conditional value-at-risk, portfolio
optimization, convex analysis
Number of Pages in PDF File: 27
Keywords: risk management, deviation measures, coherent risk
JEL Classification: C00, C60, C70working papers series
Date posted: January 22, 2003
© 2015 Social Science Electronic Publishing, Inc. All Rights Reserved.
This page was processed by apollo6 in 0.406 seconds