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A Worst-Case Risk Measure by G-VaR 被引量:2

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摘要 G-VaR,which is a type of worst-case value-at-risk(VaR),is defined as measuring risk incorporating model uncertainty.Compared with most extant notions of worst-case VaR,G-VaR can be computed using an explicit formula,and can be applied to large portfolios of several hundred dimensions with low computational cost.We also apply G-VaR to robust portfolio optimization,thereby providing a tractable means to facilitate optimal allocations under the condition of market ambiguity.
出处 《Acta Mathematicae Applicatae Sinica》 SCIE CSCD 2021年第2期421-440,共20页 应用数学学报(英文版)
基金 supported by Natural Science Foundation of China and Jiangsu Province(No.11871050,No.11971342,No.11401414,No.BK20140299,No.14KJB110022)。
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