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Risk measures and their applications in asset management (2008) Open access

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Title Risk measures and their applications in asset management
Published in Report / Econometric Institute, Erasmus University Rotterdam, p.1-24. ISSN 1566-7294.
Author Birbil, S.I. (Ilker); Frenk, J.B.G. (Hans); Kaynar, B.; Nilay, N. N. (Nilay)
Date 2008-08-21
Language English
Type working paper
Publisher Econometric Institute
Abstract Several approaches exist to model decision making under risk, where risk can be broadly defined as the effect of variability of random outcomes. One of the main approaches in the practice of decision making under risk uses mean-risk models; one such well-known is the classical Markowitz model, where variance is used as risk measure. Along this line, we consider a portfolio selection problem, where the asset returns have an elliptical distribution. We mainly focus on portfolio optimization models constructing portfolios with minimal risk, provided that a prescribed expected return level is attained. In particular, we model the risk by using Value-at-Risk (VaR) and Conditional Value-at-Risk (CVaR). After reviewing the main properties of VaR and CVaR, we present short proofs to some of the well-known results. Finally, we describe a computationally efficient solution algorithm and present numerical results.
Publication http://hdl.handle.net/1765/13050
Persistent Identifier urn:NBN:nl:ui:15-1765/13050
Metadata XML
Repository Erasmus University Rotterdam
Erasmus University Rotterdam

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