Artikel
Portfolio optimization with optimal expected utility risk measures
The purpose of this article is to evaluate optimal expected utility risk measures (OEU) in a risk-constrained portfolio optimization context where the expected portfolio return is maximized. We compare the portfolio optimization with OEU constraint to a portfolio selection model using value at risk as constraint. The former is a coherent risk measure for utility functions with constant relative risk aversion and allows individual specifications to the investor's risk attitude and time preference. In a case study with three indices, we investigate how these theoretical differences influence the performance of the portfolio selection strategies. A copula approach with univariate ARMA-GARCH models is used in a rolling forecast to simulate monthly future returns and calculate the derived measures for the optimization. The results of this study illustrate that both optimization strategies perform considerably better than an equally weighted portfolio and a buy and hold portfolio. Moreover, our results illustrate that portfolio optimization with OEU constraint experiences individualized effects, e.g., less risk-averse investors lose more portfolio value in the financial crises but outperform their more risk-averse counterparts in bull markets.
- Language
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Englisch
- Bibliographic citation
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Journal: Annals of Operations Research ; ISSN: 1572-9338 ; Volume: 309 ; Year: 2021 ; Issue: 1 ; Pages: 59-77 ; New York, NY: Springer US
- Classification
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Allgemeines, Wissenschaft
Portfolio Choice; Investment Decisions
Criteria for Decision-Making under Risk and Uncertainty
- Subject
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Optimal expected utility
Portfolio optimization
Risk measures
Value at risk
- Event
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Geistige Schöpfung
- (who)
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Geissel, S.
Graf, H.
Herbinger, J.
Seifried, F. T.
- Event
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Veröffentlichung
- (who)
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Springer US
- (where)
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New York, NY
- (when)
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2021
- DOI
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doi:10.1007/s10479-021-04403-7
- Last update
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10.03.2025, 11:45 AM CET
Data provider
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.
Object type
- Artikel
Associated
- Geissel, S.
- Graf, H.
- Herbinger, J.
- Seifried, F. T.
- Springer US
Time of origin
- 2021