On measuring the sensitivity of the optimal portfolio allocation
In this paper we consider the sensitivity problem connected with portfolio optimization results when different measures of risk such as portfolio rates of return standard deviation, portfolio VaR, CVaR are minimized. Conditioning the data (represented by spectral condition index of the rates of return correlation matrix) plays, as it is shown, a crucial role in describing the properties of the models. We report on the research conducted for 13 largest firms on Warsaw Stock Exchange.
Volume (Year): 2 (2008)
Issue (Month): ()
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- Manfred Gilli & Evis Këllezi & Hilda Hysi, "undated".
"A Data-Driven Optimization Heuristic for Downside Risk Minimization,"
Swiss Finance Institute Research Paper Series
06-02, Swiss Finance Institute.
- M. Gilli & E. Kellezi & H. Hysi, 2006. "A Data-Driven Optimization Heuristic for Downside Risk Minimization," Computing in Economics and Finance 2006 355, Society for Computational Economics.
- Philippe Artzner & Freddy Delbaen & Jean-Marc Eber & David Heath, 1999. "Coherent Measures of Risk," Mathematical Finance, Wiley Blackwell, vol. 9(3), pages 203-228. Full references (including those not matched with items on IDEAS)
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