The January effect across volatility regimes
AbstractUsing a Markov regime switching model, this article presents evidence of the well-known January effect on stock returns. The specification allows a distinction to be drawn between two regimes: one with high volatility and another with low volatility. We obtain a time-varying January effect that is, in general, positive and significant in both volatility regimes. However, this effect is larger in the high-volatility regime. In sharp contrast with most of the previous literature, we find two major results: (1) the January effect exists for all sizes of portfolio; (2) the negative correlation between the magnitude of the January effect and portfolio size fails across volatility regimes. Moreover, our evidence supports a slight decline in the January effect for all sizes of portfolio except the smallest, for which it is even larger.
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Bibliographic InfoArticle provided by Taylor & Francis Journals in its journal Quantitative Finance.
Volume (Year): 11 (2011)
Issue (Month): 6 ()
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Web page: http://www.tandfonline.com/RQUF20
Other versions of this item:
- C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models &bull Diffusion Processes
- G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
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- Wessel Marquering & Johan Nisser & Toni Valla, 2006. "Disappearing anomalies: a dynamic analysis of the persistence of anomalies," Applied Financial Economics, Taylor & Francis Journals, vol. 16(4), pages 291-302.
- Keim, Donald B., 1983. "Size-related anomalies and stock return seasonality : Further empirical evidence," Journal of Financial Economics, Elsevier, vol. 12(1), pages 13-32, June.
- Lean, Hooi Hooi & Smyth, Russell & Wong, Wing-Keung, 2007.
"Revisiting calendar anomalies in Asian stock markets using a stochastic dominance approach,"
Journal of Multinational Financial Management,
Elsevier, vol. 17(2), pages 125-141, April.
- Lean Hooi Hooi & Wong Wing Keung & Russell Smyth, 2005. "Revisiting Calender Anomolies in Asian Stock Markets Using a Stochastic Dominance Approach," Development Research Unit Working Paper Series 16/05, Monash University, Department of Economics.
- Emilios Galariotis, 2004. "Sources of contrarian profits and return predictability in emerging markets," Applied Financial Economics, Taylor & Francis Journals, vol. 14(14), pages 1027-1034.
- 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.
- Rozeff, Michael S. & Kinney, William Jr., 1976. "Capital market seasonality: The case of stock returns," Journal of Financial Economics, Elsevier, vol. 3(4), pages 379-402, October.
- Al-Khazali, Osamah M., 2001. "Does the January effect exist in high-yield bond market?," Review of Financial Economics, Elsevier, vol. 10(1), pages 71-80.
- Fama, Eugene F & French, Kenneth R, 1996. " Multifactor Explanations of Asset Pricing Anomalies," Journal of Finance, American Finance Association, vol. 51(1), pages 55-84, March.
- Chien, Chin-Chen & Lee, Cheng-few & Wang, Andrew M. L., 2002. "A note on stock market seasonality: The impact of stock price volatility on the application of dummy variable regression model," The Quarterly Review of Economics and Finance, Elsevier, vol. 42(1), pages 155-162.
- Fama, Eugene F. & French, Kenneth R., 1993. "Common risk factors in the returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 33(1), pages 3-56, February.
- Cooper, Michael J. & McConnell, John J. & Ovtchinnikov, Alexei V., 2006. "The other January effect," Journal of Financial Economics, Elsevier, vol. 82(2), pages 315-341, November.
- Laura T. Starks & Li Yong & Lu Zheng, 2006. "Tax-Loss Selling and the January Effect: Evidence from Municipal Bond Closed-End Funds," Journal of Finance, American Finance Association, vol. 61(6), pages 3049-3067, December.
- Dimitar Tonchev & Tae-Hwan Kim, 2004. "Calendar effects in Eastern European financial markets: evidence from the Czech Republic, Slovakia and Slovenia," Applied Financial Economics, Taylor & Francis Journals, vol. 14(14), pages 1035-1043.
- Juan Rendon & William Ziemba, 2007. "Is the January effect still alive in the futures markets?," Financial Markets and Portfolio Management, Springer, vol. 21(3), pages 381-396, September.
- Bing Zhang & Xindan Li, 2006. "Do Calendar Effects Still Exist in the Chinese Stock Markets?," Journal of Chinese Economic and Business Studies, Taylor & Francis Journals, vol. 4(2), pages 151-163.
- Floros, Christos & Salvador, Enrique, 2014. "Calendar anomalies in cash and stock index futures: International evidence," Economic Modelling, Elsevier, vol. 37(C), pages 216-223.
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