当损失可能很大时分散投资的限度

R. Ibragimov, J. Waldén
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引用次数: 165

摘要

最近的风险价值分析结果表明,对于具有无界分布支持的极重尾风险,分散投资可能会增加风险价值,并且通常难以为这种分布构建适当的风险度量。我们进一步分析了重尾风险下分散投资的局限性。我们通过两种方式提供额外的见解。首先,我们证明了类似的非分散化结果对于一类具有有限支持的风险是有效的,只要这些风险集中在一个足够大的区间内。所需的支持长度取决于现有风险的数量和严重程度。其次,我们将风险价值方法与更一般的风险框架联系起来。我们认为,在金融市场中,与风险的(有界的)分布支持相比,资产数量是有限的,无界的重尾风险可能提供一个合理的近似。我们认为,这种类型的分析可能在解释资产市场中各种类型的市场失灵方面发挥作用,这些市场失灵可能会产生巨大的负面结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Limits of Diversification When Losses May Be Large
Recent results in value at risk analysis show that, for extremely heavy-tailed risks with unbounded distribution support, diversification may increase value at risk, and that, generally, it is difficult to construct an appropriate risk measure for such distributions. We further analyze the limitations of diversification for heavy-tailed risks. We provide additional insight in two ways. First, we show that similar nondiversification results are valid for a large class of risks with bounded support, as long as the risks are concentrated on a sufficiently large interval. The required length of the support depends on the number of risks available and on the degree of heavy-tailedness. Second, we relate the value at risk approach to more general risk frameworks. We argue that in financial markets where the number of assets is limited compared with the (bounded) distributional support of the risks, unbounded heavy-tailed risks may provide a reasonable approximation. We suggest that this type of analysis may have a role in explaining various types of market failures in markets for assets with possibly large negative outcomes.
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