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A Heuristic Approach for Value at Risk Based Portfolio Optimization
Year Of Publication: 2009
Month Of Publication: June
Pages: 6
Download Count: 6
View Count: 1631
Comment Num: 0
Language: English
Source: working paper
Who Can Read: Free
Date: 9-21-2012
Publisher: Administrator
Portfolio optimization under classic mean-variance framework of Markowitz must be revised as variance fails to be a good risk measure. This is especially true when the asset returns are not normal. In this paper, we utilize Value at Risk (VaR) as the risk measure and Historical Simulation (HS) is used to obtain an acceptable estimate of the VaR. Also, a well known multi-objective evolutionary approach is used to address the inherent bi-objective problem; In fact, NSGA-II is incorporated here. This method is tested on a set of past return data of 12 assets on Tehran Stock Exchange (TSE). A comparison of the obtained results, shows that the proposed method offers high quality solutions and a wide range of risk return trade-offs.
Zeiaee, Mohammad Sign in to follow this author
Jahed-Motlagh, M. Reza Sign in to follow this author
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