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A NOTE ON THE IMPACT OF NON LINEAR REWARD AND RISK MEASURES.

Authors :
Biglova, Almira
Ortobelli, Sergio
Rachev, Svetlozar (Zari) T.
Stoyanov, Stoyan
Source :
Journal of Applied Functional Analysis; Apr2010, Vol. 5 Issue 2, p195-202, 8p, 2 Graphs
Publication Year :
2010

Abstract

In this note, we examine the impact of non linear reward and risk measures on portfolio selection. In particular, we compare the ex-post final wealth sample paths of strategies based on the Sharpe ratio and strategies based on non-linear reward/risk measures. As suggested by the recent literature, we model dependencies with an asymmetric t copula estimated on the innovations of the marginals that follow an ARMA-GARCH type model. Therefore, we first simulate future scenarios, on the basis of which allocation decisions are made, and then we compare the ex-post final wealth obtained with non-linear risk and reward strategies and the wealth obtained with classic portfolio strategies. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15591948
Volume :
5
Issue :
2
Database :
Supplemental Index
Journal :
Journal of Applied Functional Analysis
Publication Type :
Academic Journal
Accession number :
49115698