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On the Information Uncertainty Risk and the January Effect

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  • Dongcheol Kim

    (Korea University Business School)

Abstract

I 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.

Suggested Citation

  • Dongcheol Kim, 2006. "On the Information Uncertainty Risk and the January Effect," The Journal of Business, University of Chicago Press, vol. 79(4), pages 2127-2162, July.
    • Handle: RePEc:ucp:jnlbus:v:79:y:2006:i:4:p:2127-2162
    DOI: 10.1086/503659
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    Citations

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    Cited by:

    1. Betty Agnani & Henry Aray, 2011. "The January effect across volatility regimes," Quantitative Finance, Taylor & Francis Journals, vol. 11(6), pages 947-953.
    2. Sun, Qian & Tong, Wilson H.S., 2010. "Risk and the January effect," Journal of Banking & Finance, Elsevier, vol. 34(5), pages 965-974, May.
    3. Kim, Dongcheol & Na, Haejung, 2016. "The forecast dispersion anomaly revisited: Time-series forecast dispersion and the cross-section of stock returns," Journal of Empirical Finance, Elsevier, vol. 39(PA), pages 37-53.
    4. 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.
    5. Arbab Khalid Cheema & Wenjie Ding & Qingwei Wang, 2023. "The cross-section of January effect," Journal of Asset Management, Palgrave Macmillan, vol. 24(6), pages 513-530, October.

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