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On the estimation of asset pricing models using univariate betas

机译:关于使用单变量Beta进行资产定价模型的估计

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摘要

We derive asymptotic standard errors of risk premia estimates based on the popular two-pass cross-sectional regression methodology developed by Black, Jensen, and Scholes (1972) and Fama and MacBeth (1973) when univariate betas are used as regressors. Our standard errors are robust to model misspecification and allow for general distributional assumptions. In testing whether the beta risk of a given factor is priced, our misspecification robust standard error can lead to economically different conclusions from those based on the Jagannathan and Wang (1998) standard error which is derived under the correctly specified model.
机译:当单变量beta用作回归变量时,我们根据Black,Jensen和Scholes(1972)和Fama和MacBeth(1973)开发的流行的两遍横截面回归方法,得出风险溢价估计的渐近标准误差。我们的标准误差对于错误指定模型具有鲁棒性,并允许进行一般的分布假设。在测试给定因子的beta风险是否已计价时,我们的错误指定稳健标准误差可能导致与基于Jagannathan and Wang(1998)标准误差(根据正确指定的模型得出)的结论在经济上有所不同的结论。

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