Ágoston, Kolos (2011) CVaR minimization by the SRA algorithm. Central European Journal of Operations Research . DOI 10.1007/s10100-011-0194-7 (In Press)
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Official URL: http://www.springerlink.com/content/l5787772u445l122/
Published online: 04 March 2011 (Online First)
Abstract
Using the risk measure CV aR in �nancial analysis has become more and more popular recently. In this paper we apply CV aR for portfolio optimization. The problem is formulated as a two-stage stochastic programming model, and the SRA algorithm, a recently developed heuristic algorithm, is applied for minimizing CV aR.
Item Type: | Article |
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Series Number / Identification Number: | 10.1007/s10100-011-0194-7 |
Uncontrolled Keywords: | Risk measure, CVaR, stochastic programming, numerical optimization |
Divisions: | Faculty of Economics > Department of Operations Research and Actuarial Sciences |
Subjects: | Mathematics, Econometrics |
DOI: | 10.1007/s10100-011-0194-7 |
ID Code: | 315 |
Deposited By: | Ádám Hoffmann |
Deposited On: | 29 Mar 2011 10:54 |
Last Modified: | 18 Oct 2021 09:03 |
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