Semi-strong Factors in Asset Returns
Author(s) -
Gregory Connor,
Robert A. Korajczyk
Publication year - 2019
Publication title -
ssrn electronic journal
Language(s) - English
Resource type - Journals
ISSN - 1556-5068
DOI - 10.2139/ssrn.3419446
Subject(s) - business , asset (computer security) , financial economics , econometrics , economics , computer science , computer security
This paper re nes the approximate factor model of asset returns by dividing sys- tematic factors into a) natural rate factors, whose sum of squared factor betas grow at the same rate as the number of assets, and b) semi-strong factors, whose sum of squared factor betas grow, but at a slower rate. We describe a methodology to estimate the cross-sectional mean and mean-square of semi-strong factor betas, and to di¤eren- tiate them from natural rate factors. We apply the methodology to US equity returns using daily changes in exchange rates and commodity prices as semi-strong factors. We nd that oil and gold price changes are signi cant factors while foreign exchange rate changes are only signi cant in more recent subperiods.
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