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Conditional Value-at-Risk: optimization algorithms and applications

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

195 Scopus citations

Abstract

A new approach for the simultaneous calculation of Value-at-Risk (VaR) and optimization of Conditional Value-at-Risk (CVaR) for a broad class of problems is presented. It is shown that CVaR can be efficiently minimized using linear programming (LP) techniques. Although, formally, the method minimizes only CVaR, it also lowers VaR.

Original languageEnglish
Title of host publicationIEEE/IAFE Conference on Computational Intelligence for Financial Engineering, Proceedings (CIFEr)
PublisherIEEE
Pages49-57
Number of pages9
ISBN (Print)0780364295
StatePublished - 2000
EventIEEE/IAFE/INFORNS 2000: 6th Conference on Computational Intelligence for Financial Engineering (CIFEr) - New York, NY, USA
Duration: Mar 26 2000Mar 28 2000

Publication series

NameIEEE/IAFE Conference on Computational Intelligence for Financial Engineering, Proceedings (CIFEr)

Conference

ConferenceIEEE/IAFE/INFORNS 2000: 6th Conference on Computational Intelligence for Financial Engineering (CIFEr)
CityNew York, NY, USA
Period03/26/0003/28/00

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