The Estimation of Risk Premia with Omitted Variable Bias: Evidence from China

Jie Mao and Tianliang Xia ()
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Jie Mao: School of Economics, Shanghai University, No. 333 Nanchen Road Baoshan District, Shanghai 200444, China
Tianliang Xia: School of Economics, Shanghai University, No. 333 Nanchen Road Baoshan District, Shanghai 200444, China

Risks, 2023, vol. 11, issue 12, 1-9

Abstract: The Chinese stock market is replete with numerous omitted variables that can introduce biases in the standard estimation of risk premiums when traditional linear asset pricing models are applied. The three-pass method enables the estimation of risk premiums for observable factors even when not all relevant factors are explicitly specified or observed within the model. Accordingly, we have applied this method to construct portfolios with stocks from China’s A-share market as the test assets. Empirical research findings indicate that the three-pass method could be more effective than traditional linear asset pricing models in estimating risk premiums.

Keywords: omitted factors; three-pass method; Chinese stock market (search for similar items in EconPapers)
JEL-codes: C G0 G1 G2 G3 K2 M2 M4 (search for similar items in EconPapers)
Date: 2023
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