没有错误定价的定价

Jianan Liu, T. Moskowitz, R. Stambaugh
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引用次数: 2

摘要

我们提供了一个新的测试,在没有错误定价的情况下,资产定价模型是否描述了预期收益。我们的测试假设这样一个模型给使用10年前信息的投资策略分配了零alpha值。CAPM满足这一条件,但突出的多因素模型不满足这一条件。虽然多因素贝塔系数有助于捕捉定价错误股票的当前预期回报,但这些贝塔系数的持续存在扭曲了股价调整后股票的隐含预期回报。这些结果在大盘股中最为明显,它们的多因素贝塔值最为持久。因此,即使是规模最大、流动性最强的股票,著名的多因素模型也会扭曲预期回报,而不会出现定价错误。国家经济研究局工作论文系列的机构订阅者和发展中国家的居民可以在www.nber.org免费下载本文。
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Pricing Without Mispricing
We offer a novel test of whether an asset pricing model describes expected returns in the absence of mispricing. Our test assumes such a model assigns zero alpha to investment strategies using decade-old information. The CAPM satisfies this condition, but prominent multifactor models do not. While multifactor betas help capture current expected returns on mispriced stocks, persistence in those betas distorts the stocks' implied expected returns after prices correct. These results are most evident in large-cap stocks, whose multifactor betas are the most persistent. Hence, prominent multifactor models distort expected returns, absent mispricing, for even the largest, most liquid stocks. Institutional subscribers to the NBER working paper series, and residents of developing countries may download this paper without additional charge at www.nber.org.
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