The January Effect across Volatility Regimes
AbstractUsing a Markov regime switching model, this article presents evidence on the well-known January effect on stock returns. The specification allows a distinction to be drawn between two regimes, one with high volatility and other 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 previous literature we find two major results: i) the January effect exists for all size portfolios. ii) the negative correlation between the magnitude of the January effect and the size of portfolios fails across volatility regimes. Moreover, our evidence supports a decline in the January effect for all size portfolios except the smallest, for which it is even larger.
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Bibliographic InfoPaper provided by Department of Economic Theory and Economic History of the University of Granada. in its series ThE Papers with number 07/04.
Length: 14 pages
Date of creation: 31 Dec 2007
Date of revision:
Markov Switching Model; Stock Returns; Seasonality; Size Portfolios.;
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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