Journal article
Modeling the Cross Section of Stock Returns: A Model Pooling Approach
Journal of financial and quantitative analysis, Vol.47(6), pp.1331-1360
12/01/2012
DOI: 10.1017/S0022109012000518
Abstract
Model selection (i.e., the choice of an asset pricing model to the exclusion of competing models) is an inherently misguided strategy when the true model is unavailable to the researcher. This paper illustrates the advantages of a model pooling approach in characterizing the cross section of stock returns. The optimal pool combines models using the log predictive score criterion, a measure of the out-of-sample performance of each model, and consistently outperforms the best individual model. The benefits to model pooling are most pronounced during periods of economic stress, and it is a valuable tool for asset allocation decisions.
Details
- Title: Subtitle
- Modeling the Cross Section of Stock Returns: A Model Pooling Approach
- Creators
- Michael O’Doherty - University of MissouriN. E. Savin - University of IowaAshish Tiwari - University of Iowa
- Resource Type
- Journal article
- Publication Details
- Journal of financial and quantitative analysis, Vol.47(6), pp.1331-1360
- Publisher
- Cambridge University Press
- DOI
- 10.1017/S0022109012000518
- ISSN
- 0022-1090
- eISSN
- 1756-6916
- Number of pages
- 30
- Language
- English
- Date published
- 12/01/2012
- Academic Unit
- Finance
- Record Identifier
- 9984380553302771
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