风险归因的陷阱

B. Davis, J. Menchero
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引用次数: 0

摘要

虽然绩效分析通常是在基准相对基础上进行的,但风险分析通常是在绝对回报基础上进行的。这种风险来源和回报之间的不匹配导致了一个陷阱,即主动管理决策不能在风险调整的基础上进行评估。特别是,在风险归因中使用绝对回报来源可能导致对风险的非直觉边际贡献,并将激进头寸标记为风险减少。这些陷阱可以通过使用相对mcar来解决,这会在证券、行业和因素之间产生一系列一致和直观的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Pitfalls in Risk Attribution
While performance analysis is typically conducted on a benchmark-relative basis, risk analysis is often presented on an absolute-return basis. This mismatch between sources of risk and return leads to the pitfall that active management decisions cannot be evaluated on a risk-adjusted basis. In particular, usage of absolute return sources in risk attribution may lead to non-intuitive marginal contributions to risk and flagging aggressive positions as risk reducing. These pitfalls can be addressed by using relative MCARs, which result in a set of consistent and intuitive effects across securities, sectors, and factors.
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