This paper studies Conditional Value-at-Risk (CVaR) with multiple losses. We introduce the concept of α-CVaR for the case of multiple losses under the confidence level vector α. The α-CVaR indicates the conditional expected losses corresponding to the α-VaR. The problem of solving the minimal α-CVaR results in a multiobjective problem (MCVaR). In order to get Pareto efficient solutions of the (MCVaR), we introduce a single objective problem (SCVaR) and show that the optimal solutions of the (SCVaR) are the Pareto efficient solutions of (MCVaR). © Springer-Verlag Berlin Heidelberg 2004.
CITATION STYLE
Jiang, M., Hu, Q., & Meng, Z. (2004). A method on solving multiobjective conditional value-at-risk. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3039, 923–930. https://doi.org/10.1007/978-3-540-25944-2_119
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