Exploiting Factor Autocorrelation to Improve Risk Adjusted Returns
Author(s) -
Kevin Oversby
Publication year - 2014
Publication title -
ssrn electronic journal
Language(s) - English
Resource type - Journals
ISSN - 1556-5068
DOI - 10.2139/ssrn.2456543
Subject(s) - autocorrelation , factor (programming language) , econometrics , business , computer science , statistics , economics , mathematics , programming language
The Fama-French three factor model is ubiquitous in modern finance. Returns are modeled as a linear combination of a market factor, a size factor and a book-to-market equity ratio (or “value”) factor. The success of this approach, since its introduction in 1992, has resulted in widespread adoption and a large body of related academic literature. The risk factors exhibit serial correlation at a monthly timeframe. This property is strongest in the value factor, perhaps due to its association with global funding liquidity risk.
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