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首页> 外文期刊>Journal of financial economics >Empirical tests of asset pricing models with individual assets: Resolving the errors-in-variables bias in risk premium estimation
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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:具有个别资产的资产定价模型的经验测试:解决风险溢价估算中的变量错误偏差

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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:为了衰减一个固有的错误偏差,投资组合被广泛用于测试资产定价模型;但投资组合可能会掩盖个人股票的相关风险或与退货相关的功能。我们提出了一种乐器变量方法,允许使用个别股票作为测试资产,但仍可达成一致的EX后风险保费。该估算器还产生小型样本的特定测试。资本资产定价模型(CAPM)下的市场风险溢价和流动性调整的CAPM,FAMA-French三和五因素模型下的风险因素的保费,以及HOU等人。 (2015)控制资产特征后,四因素模型全部微不足道。 (c)2019 Elsevier B.v.保留所有权利。

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