University of Toronto
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NBER Working Papers and Publications
|June 2009||Pricing Model Performance and the Two-Pass Cross-Sectional Regression Methodology|
with Cesare Robotti, Jay Shanken: w15047
Since Black, Jensen, and Scholes (1972) and Fama and MacBeth (1973), the two-pass cross-sectional regression (CSR) methodology has become the most popular approach for estimating and testing asset pricing models. Statistical inference with this method is typically conducted under the assumption that the models are correctly specified, i.e., expected returns are exactly linear in asset betas. This can be a problem in practice since all models are, at best, approximations of reality and are likely to be subject to a certain degree of misspecification. We propose a general methodology for computing misspecification-robust asymptotic standard errors of the risk premia estimates. We also derive the asymptotic distribution of the sample CSR R2 and develop a test of whether two competing beta pri...
Published: Raymond Kan & Cesare Robotti & Jay Shanken, 2013. "Pricing Model Performance and the Two-Pass Cross-Sectional Regression Methodology," Journal of Finance, American Finance Association, vol. 68(6), pages 2617-2649, December. citation courtesy of