Improved Algorithms for Computing Worst Value-at-Risk: Numerical Challenges and the Adaptive Rearrangement Algorithm

Marius Hofert, Amir Memartoluie, David Saunders and Tony Wirjanto

Papers from arXiv.org

Abstract: Numerical challenges inherent in algorithms for computing worst Value-at-Risk in homogeneous portfolios are identified and solutions as well as words of warning concerning their implementation are provided. Furthermore, both conceptual and computational improvements to the Rearrangement Algorithm for approximating worst Value-at-Risk for portfolios with arbitrary marginal loss distributions are given. In particular, a novel Adaptive Rearrangement Algorithm is introduced and investigated. These algorithms are implemented using the R package qrmtools.

Date: 2015-05, Revised 2015-12
New Economics Papers: this item is included in nep-cmp and nep-rmg
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Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:1505.02281

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