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  • 标题:Multivariate extensions of expectiles risk measures
  • 本地全文:下载
  • 作者:Véronique Maume-Deschamps ; Didier Rullière ; Khalil Said
  • 期刊名称:Dependence Modeling
  • 电子版ISSN:2300-2298
  • 出版年度:2017
  • 卷号:5
  • 期号:1
  • 页码:20-44
  • DOI:10.1515/demo-2017-0002
  • 出版社:Walter de Gruyter GmbH
  • 摘要:

    This paper is devoted to the introduction and study of a new family of multivariate elicitable risk measures. We call the obtained vector-valued measures multivariate expectiles. We present the different approaches used to construct our measures. We discuss the coherence properties of these multivariate expectiles. Furthermore, we propose a stochastic approximation tool of these risk measures.

  • 关键词:Multivariate risk measures ; Solvency 2 ; Risk management ; Risk theory ; Dependence modeling ; Capital allocation ; Multivariate expectiles ; Elicitability ; Coherence properties ; Stochastic approximation ; Copulas MSC 2010: 62H00 ; 62P05 ; 91B30
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