Amsterdam Econometrics Seminars and Workshop Series

Speaker(s)
Dacheng Xiu (University of Chicago, United States)
Date
Friday, 16 March 2018
Time
16:00-17:15
Venue
UvA - E-building, Roetersstraat 11, Room E5.22AmsterdamNetherlands
Contact person(s)
Frank Kleibergen, Julia Schaumburg

We propose a three-pass method to estimate the risk premia of observable factors in a linear asset pricing model, which is valid even when the observed factors are just a subset of the true factors that drive asset prices or they are measured with error. We show that the risk premium of a factor can be identified in a linear factor model regardless of the rotation of the other control factors as long as they together span the space of true factors. Motivated by this rotation invariance result, our approach uses principal components to recover the factor space and combines the estimated principal components with each observed factor to obtain a consistent estimate of its risk premium. Our methodology also accounts for potential measurement error in the observed factors and detects when such factors are spurious or even useless. The methodology exploits the blessings of dimensionality, and we therefore apply it to a large panel of equity portfolios to estimate risk premia for several workhorse linear models. The estimates are robust to the choice of test portfolios within equities as well as across many asset classes. Joint with Stefano Giglio.

Keywords: Three-Pass Estimator, Empirical Asset Pricing Models, PCA, Latent Factors, Omitted Factors, Measurement Error, Fama-MacBeth Regression

Click here to read the full paper.