期刊
JOURNAL OF EMPIRICAL FINANCE
卷 42, 期 -, 页码 15-39出版社
ELSEVIER
DOI: 10.1016/j.jempfin.2017.01.004
关键词
Asset pricing; Timescale betas; Cross section of stock returns; Fama-French factors; Wavelets
资金
- Hong Kong Polytechnic University [A-PJ95]
We show that standard beta pricing models quantify an asset's systematic risk as a weighted combination of a number of different timescale betas. Given this, we develop a wavelet-based framework that examines the cross-sectional pricing implications of isolating these timescale betas. An empirical application to the Fama-French model reveals that the model's well-known empirical success is largely due to the beta components associated with a timescale just short of a business cycle (i.e., wavelet scale 3). This implies that any viable explanation for the success of the Fama-French model that has been applied to the Fama-French factors should apply particularly to the scale 3 components of the factors. We find that a risk-based explanation conforms closely to this implication.
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