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Pricing Model Performance and the Two-Pass Cross-Sectional Regression Methodology

机译:定价模型的性能和两次通过截面回归方法

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摘要

Over the years, many asset pricing studies have employed the sample cross-sectional regression (CSR) R2 as a measure of model performance. We derive the asymptotic distribution of this statistic and develop associated model comparison tests, taking into account the impact of model misspecification on the variability of the CSR estimates. We encounter several examples of large R2 differences that are not statistically significant. A version of the intertemporal capital asset pricing model (CAPM) exhibits the best overall performance, followed by the Fama-French three-factor model. Interestingly, the performance of prominent consumption CAPMs is sensitive to variations in experimental design.
机译:多年来,许多资产定价研究都采用样本横截面回归(CSR)R2作为衡量模型性能的指标。我们考虑到模型错误指定对CSR估计的可变性的影响,得出了该统计量的渐近分布,并开发了相关的模型比较测试。我们遇到了一些R2差异较大的示例,这些差异在统计上并不重要。跨期资本资产定价模型(CAPM)的版本表现最佳,其次是Fama-French三因素模型。有趣的是,杰出的消费CAPM的性能对实验设计的变化很敏感。

著录项

  • 来源
    《Journal of Finance》 |2013年第6期|2617-2649|共33页
  • 作者单位

    University of Toronto;

    Federal Reserve Bank of Atlanta and EDHEC Risk Institute;

    Emory University and the National Bureau of Economic Research;

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  • 原文格式 PDF
  • 正文语种 eng
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