对基金绩效评估中自举方法的怀疑评价

Q1 Economics, Econometrics and Finance
Huazhu Zhang, Cheng Yan
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引用次数: 7

摘要

使用bootstrap方法区分“技能”和“运气”已成为基金业绩评估文献中的标准做法,但其可靠性尚未经过严格的统计分析。本文回顾和批评了文献中使用的自举方案,并通过将其应用于评估假设基金在各种假设下的绩效,对自举方法的有效性和可靠性进行了模拟分析。我们认为,无论使用alpha估计还是其t统计量,这种方法都可能具有误导性。虽然替代的引导方案可以带来改进,但它们也不是万无一失的。如果基准模型指定错误,情况可能会更糟。因此,我们只能谨慎地使用bootstrap方法来评估基金的绩效,并提出一些改进建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A skeptical appraisal of the bootstrap approach in fund performance evaluation

It has become standard practice in the fund performance evaluation literature to use the bootstrap approach to distinguish “skills” from “luck”, while its reliability has not been subject to rigorous statistical analysis. This paper reviews and critiques the bootstrap schemes used in the literature, and provides a simulation analysis of the validity and reliability of the bootstrap approach by applying it to evaluating the performance of hypothetical funds under various assumptions. We argue that this approach can be misleading, regardless of using alpha estimates or their t-statistics. While alternative bootstrap schemes can result in improvements, they are not foolproof either. The case can be worse if the benchmark model is misspecified. It is therefore only with caution that we can use the bootstrap approach to evaluate the performance of funds and we offer some suggestions for improving it.

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来源期刊
Financial Markets, Institutions and Instruments
Financial Markets, Institutions and Instruments Economics, Econometrics and Finance-Economics, Econometrics and Finance (all)
CiteScore
1.80
自引率
0.00%
发文量
17
期刊介绍: Financial Markets, Institutions and Instruments bridges the gap between the academic and professional finance communities. With contributions from leading academics, as well as practitioners from organizations such as the SEC and the Federal Reserve, the journal is equally relevant to both groups. Each issue is devoted to a single topic, which is examined in depth, and a special fifth issue is published annually highlighting the most significant developments in money and banking, derivative securities, corporate finance, and fixed-income securities.
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