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Description
  • Solutions of portfolio optimization problems are often influenced by model misspecifications or by errors due to approximation, estimation and incomplete information. The obtained results, recommendations for the risk and portfolio manager should be then carefully analyzed. We shall focus on output analysis and stress testing with respect to uncertainty or perturbations of input data for the Markowitz mean-variance model with a general polyhedral convex set of considered portfolios and we shall discuss its robust versions. Possible extensions to general mean-risk efficient portfolios will be delineated.
  • Solutions of portfolio optimization problems are often influenced by model misspecifications or by errors due to approximation, estimation and incomplete information. The obtained results, recommendations for the risk and portfolio manager should be then carefully analyzed. We shall focus on output analysis and stress testing with respect to uncertainty or perturbations of input data for the Markowitz mean-variance model with a general polyhedral convex set of considered portfolios and we shall discuss its robust versions. Possible extensions to general mean-risk efficient portfolios will be delineated. (en)
Title
  • Output analysis and stress testing for mean-variance efficient portfolios
  • Output analysis and stress testing for mean-variance efficient portfolios (en)
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  • Output analysis and stress testing for mean-variance efficient portfolios
  • Output analysis and stress testing for mean-variance efficient portfolios (en)
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  • RIV/00216208:11320/12:10125429!RIV13-GA0-11320___
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  • P(GBP402/12/G097)
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  • 157359
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  • RIV/00216208:11320/12:10125429
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  • worst-case analysis; stress testing; stability; mean-variance efficient portfolios; Markowitz model (en)
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  • [AC03A64E5CF7]
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  • Karviná, Czech Republic
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  • Karviná, Czech Republic
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  • Proceedings of the 30th International Conference on Mathematical Methods in Economics 2012
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  • Dupačová, Jitka
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  • Slezská univerzita v Opavě
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  • 978-80-7248-779-0
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  • 11320
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