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  • 标题:Deviation Measures on Banach Spaces and Applications
  • 本地全文:下载
  • 作者:Christos E. Kountzakis
  • 期刊名称:Journal of Financial Risk Management
  • 印刷版ISSN:2167-9533
  • 电子版ISSN:2167-9541
  • 出版年度:2013
  • 卷号:2
  • 期号:1
  • 页码:13-28
  • DOI:10.4236/jfrm.2013.21003
  • 出版社:Scientific Research Publishing
  • 摘要:In this article we generalize the notion of the deviation measure, which were initially defined on spaces of squarely integrable random variables, as an extension of the notion of standard deviation. We extend them both under a frame which requires some elements from the theory of partially ordered linear spaces and also under a frame which refers to some closed subspace, whose elements are supposed to have zero deviation. This subspace denotes in general a set of risk-less assets, since in finance deviation measures may replace standard deviation as a measure of risk. In the last sections of the article we treat the minimization of deviation measures over a set of financial positions as a zero-sum game between the investor and the nature and we determine the solution of such a minimization problem via min-max theorems.
  • 关键词:Deviation Measure; Expectation-Bounded Risk Measure; Expected Shortfall
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