On the impact of semidefinite positive association measures in portfolio theory

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27510%2F10%3A10224664" target="_blank" >RIV/61989100:27510/10:10224664 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
On the impact of semidefinite positive association measures in portfolio theory
Original language description
This paper discusses the use of different association measures in portfolio problems. Among the association measures we highlight those that are consistent with the choices of risk-averse investors and we characterize semidefinite positive association measures. Additionally, we propose new portfolio selection problems that optimize the association between the portfolio and one or two market benchmarks. Then, we discuss when and how association measures can be used to reduce the dimensionality of portfolio problems. Finally, through an empirical analysis, we show the impact of different association measures in portfolio selection problems and in portfolio reduction problems. In particular, we compare the ex-post sample paths of several portfolio strategies based on different risk measures and association measures. This analysis proves that, although the proper usage of both a risk measure and an association measure can increase the performance of the portfolio, the impact of the latter
Czech name
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Czech description
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Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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