On the Information Uncertainty Risk and the January Effect
AbstractI provide a risk-based rational explanation for the seasonal regularity of January in stock returns by suggesting a common risk factor related to the information uncertainty caused by earnings volatility. When the two-factor model with the market risk factor and this common risk factor is used, there is a remarkable improvement in explaining the January effect. With the adjustment of raw returns for risk through this two-factor model, the systematic pattern in the residual returns across firm size disappears. This risk factor also dominates the other risk factors in explaining the cross section of stock returns in January.
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Bibliographic InfoArticle provided by University of Chicago Press in its journal Journal of Business.
Volume (Year): 79 (2006)
Issue (Month): 4 (July)
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- Sun, Qian & Tong, Wilson H.S., 2010. "Risk and the January effect," Journal of Banking & Finance, Elsevier, vol. 34(5), pages 965-974, May.
- Kim, Soon-Ho & Kim, Dongcheol & Shin, Hyun-Soo, 2012. "Evaluating asset pricing models in the Korean stock market," Pacific-Basin Finance Journal, Elsevier, vol. 20(2), pages 198-227.
- Bety Agnany & Henry Aray, 2007.
"The January Effect across Volatility Regimes,"
07/04, Department of Economic Theory and Economic History of the University of Granada..
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