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Robust Portfolio Protection: A Scenarios-Based Approach

Selim Mankaï () and Khaled Guesmi

No 2014-35, EconomiX Working Papers from University of Paris Nanterre, EconomiX

Abstract: This paper constructs a robust optimization framework of the uncertain worst-case return. The model defines an adjustable discrete uncertainty set which controls the conservatism of the optimal asset allocation. Without prior assumptions on the data generating process, the model also develops an a priori probabilistic guarantee of the robust solution. Unlike previous measures that depend solely on the uncertainty model, the new measure is also sensitive to asset allocation and investment horizon. We provide an application of international stock indexes portfolio protection during the 2008 financial crisis. Computational experiments and ex-post analysis provide evidence for the effectiveness of our model.

Keywords: Portfolio protection; Robust optimization; Multivariate tail dependence; Nonparametric predictive inference. (search for similar items in EconPapers)
JEL-codes: C14 D81 G11 G15 (search for similar items in EconPapers)
Pages: 21 pages
Date: 2014
New Economics Papers: this item is included in nep-cmp
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Journal Article: Robust Portfolio Protection: A Scenarios-based Approach (2015) Downloads
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