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Stochastic Dominance and Risk Measure: A Decision-Theoretic Foundation for VaR and C-VaR

机译:随机优势和风险衡量:VaR和C-VaR的决策理论基础

摘要

Is it possible to obtain an objective and quantifiable measure of risk backed up by choices made by some specific groups of rational investors? To answer this question, in this paper we establish some behavior foundations for various types of VaR models, including VaR and conditional-VaR, as measures of downside risk. Though supported to some extent with unanimous choices by some specific groups of expected or non-expected utility investors, VaRs as profiles of risk measures at various levels of risk tolerance are not quantifiable – they can only provide partial and incomplete risk assessments for risky prospects. Also included in our discussion are the relevant VaRs and several alternative risk measures for investors; these alternatives use somewhat weaker assumptions about risk-averse behavior by incorporating a mean-preserving-spread. For this latter group of investors, we provide arguments for and against the standard deviation vs. VaR and conditional VaRs as objective and quantifiable measures of risk in the context of portfolio choice.
机译:是否可以通过一些特定的理性投资者群体的选择来获得客观,可量化的风险支持措施?为了回答这个问题,在本文中,我们为各种类型的VaR模型(包括VaR和有条件的VaR)建立了一些行为基础,以作为下行风险的度量。尽管某些特定的预期或非预期公用事业投资者群体在某种程度上选择了一致支持,但作为在各种风险承受力水平下的风险衡量指标的风险价值无法量化–它们只能为有风险的前景提供部分和不完整的风险评估。我们的讨论中还包括相关的风险价值和针对投资者的若干替代风险措施;这些选择通过合并均值保持点差,使用了对风险规避行为的较弱假设。对于后一组投资者,我们提供了支持和反对标准差与VaR和条件VaR的论据,以作为在投资组合选择背景下客观,可量化的风险度量。

著录项

  • 作者

    Chenghu Ma; Wing-Keung Wong;

  • 作者单位
  • 年度 2013
  • 总页数
  • 原文格式 PDF
  • 正文语种 zh
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