Taming the Factor Zoo: A Test of New Factors
National Bureau of Economic Research · Yale University · +3 more institutions
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Abstract
ABSTRACT We propose a model selection method to systematically evaluate the contribution to asset pricing of any new factor, above and beyond what a high‐dimensional set of existing factors explains. Our methodology accounts for model selection mistakes that produce a bias due to omitted variables, unlike standard approaches that assume perfect variable selection. We apply our procedure to a set of factors recently discovered in the literature. While most of these new factors are shown to be redundant relative to the existing factors, a few have statistically significant explanatory power beyond the hundreds of factors proposed in the past.
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Authors
3Topics & keywords
Topics
Keywords
- Selection (genetic algorithm)
- Explanatory power
- Set (abstract data type)
- Econometrics
- Computer science
- Test (biology)
- Factor (programming language)
- Capital asset pricing model
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