Conditioning information and cross-sectional anomalies

Conditioning information and cross-sectional anomalies Recent empirical work suggests that predictability of future returns is related to a time-varying component that expected returns exhibit. In this paper, I use conditional asset pricing models to investigate whether return anomalies exhibit common dynamic patterns in returns. The prediction of a model might hinge on the specific interaction between its underlying state variables and considered portfolios. Using well known anomalies and alternative state variables I study such interaction. I document that different state variables identify similar time-varying behavior for the anomalies in extreme economic conditions, but such anomalies show no commonalities in their overall patterns. Review of Quantitative Finance and Accounting Springer Journals

Conditioning information and cross-sectional anomalies

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Springer US
Copyright © 2013 by Springer Science+Business Media New York
Economics / Management Science; Finance/Investment/Banking; Accounting/Auditing; Econometrics; Operations Research/Decision Theory
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