Portfolio Selection: An Extreme Value Approach
University of Pennsylania
Jeffrey R. Gerlach
Federal Reserve Banks - Federal Reserve Bank of Richmond
June 18, 2012
We show theoretically that lower tail dependence (chi), a measure of the probability that a portfolio will suffer large losses given that the market does, contains important information for risk-averse investors. We then estimate chi for a sample of DJIA stocks and show that it differs systematically from other risk measures including variance, semi-variance, skewness, kurtosis, beta, and coskewness. In out-of-sample tests, portfolios constructed to have low values of chi outperform the market index, the mean return of the stocks in our sample, and portfolios with high values of chi. Our results indicate that chi is conceptually important for risk-averse investors, differs substantially from other risk measures, and provides useful information for portfolio selection.
Number of Pages in PDF File: 53
Keywords: Portfolio selection, Extreme value theory, Tail dependence
JEL Classification: C58, G11working papers series
Date posted: September 18, 2011 ; Last revised: July 27, 2012
© 2013 Social Science Electronic Publishing, Inc. All Rights Reserved.
This page was processed by apollo2 in 0.703 seconds