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Empirical tests of asset pricing models with individual assets: Resolving the errors-in-variables bias in risk premium estimation

机译:具有单个资产的资产定价模型的实证检验:解决风险溢价估算中的变量误差偏差

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摘要

To attenuate an inherent errors-in-variables bias, portfolios are widely employed to test asset pricing models; but portfolios might mask relevant risk- or return-related features of individual stocks. We propose an instrumental variables approach that allows the use of individual stocks as test assets, yet delivers consistent estimates of ex post risk premiums. This estimator also yields well-specified tests in small samples. The market risk premium under the capital asset pricing model (CAPM) and the liquidity-adjusted CAPM, premiums on risk factors under the Fama-French three- and five-factor models, and the Hou et al. (2015) four-factor model are all insignificant after controlling for asset characteristics. (C) 2019 Elsevier B.V. All rights reserved.
机译:为了减轻固有的变量误差偏差,资产组合被广泛用于测试资产定价模型。但是投资组合可能会掩盖个别股票的与风险或回报相关的特征。我们提出了一种工具变量方法,该方法允许将单个股票用作测试资产,同时提供事后风险溢价的一致估计。该估算器还可以对小样本进行指定的测试。资本资产定价模型(CAPM)和流动性调整后的CAPM下的市场风险溢价,Fama-French三因素和五因素模型下的风险因素溢价,以及Hou等人。 (2015)控制资产特征后,四因素模型均不显着。 (C)2019 Elsevier B.V.保留所有权利。

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