The January Effect: An Evidence-Based Perspective
January is here again and market commentators are already telling stories about the so-called January Effect. Some articles (examples here and here) are saying the effect is an illusion, while others are claiming the effect can help you make some profits (examples here and here).
Before we dig into the academic research on the subject, let’s first understand the January Effect. Put simply, the January Effect is a term for the observation by some researchers that certain types of stocks (e.g., value and/or small size) earn abnormally high returns in January. A good example of this research is from a 1996 FAJ article by Bob Haugen (rest in peace!) and Philippe Jorion.
But is the January Effect Real?
As we pointed out last year, researchers are still debating the merits of the January Effect. In this piece(1), we’ll step back and reflect on the extensive academic research published on the January Effect. I’ll end with a recommendation for investors entertaining the idea of using the January Effect as part of their investment process.
The research on stock return seasonality likely extends back to when stock markets were invented. Nonetheless, one early piece by the Harvard Committee on Economic Research (published in 1919) shows that there are no seasonal effects in stock returns from 1897 to 1914. Sidney B. Wachtel, who published a paper in 1942, found something different: Professor Wachtel identified that tax considerations can lead to seasonality in stock returns and do generate a January Effect.
Next up in the January Effect debate were Michael S. Rozeff and William R. Kinney, Jr., a group of economists who published a more comprehensive empirical investigation of Wachtel’s initial ideas in 1976. Rozeff and Kinney examine stock returns from 1904 to 1974 and confirm Wachtel’s finding — the January Effect is real!
But the debate raged on. Early skeptics of the January Effect include Richard Roll, Don Keim, and Marc Reinganum, all of whom published papers in 1983 (here, here, and here, respectively). The collective work of these researchers showed that January returns are limited to smaller firms, implying that the January Effect was not as pervasive as previously thought. Of course, more recent studies in 2004, by Honghui Chen and Vijay Singal, and another by Mark Grinblatt and Tobias J. Moskowitz, leverage better analytical techniques and 1) confirm the existence of a January Effect and 2) tie it to year-end tax-loss selling.
Is Tax-Loss Selling Driving the January Effect?
But if taxes are driving the January Effect, can we find evidence for this hypothesis? Jay Ritter digs a bit further into this question and examines the buying and selling of individual investors near the turn of the year. By measuring the ratio of buys and sells of individual investors, he finds that individual investors sell more near the end of the year, and buy more in the beginning of the year—so a seasonal pattern exists for individual investors, who tend to hold smaller stocks. In two different academic papers, James Poterba and Scott Weisbenner and Richard Sias and Laura Starks, confirm the findings from Jay Ritter: individual investors engaged in tax-loss selling contribute to the January Effect.
But the tax-selling hypothesis isn’t a done deal. Early research by Philip Brown, Donald Keim, Allan Kleidon, and Terry Marsh examine the tax-induced January Effect hypothesis in the Australian equity markets. At the time, Australia had similar tax laws to the US, but a June-July tax year. In theory, if tax incentives were the cause of the January Effect, the authors should find a “July Effect.” But that wasn’t the case. The evidence shows that Australian equity returns have the same January effect documented in U.S. markets. The analysis in this paper raises a few possibilities: 1) The January Effect is an artifact of data-mining, or 2) researchers still don’t understand why the January Effect exists.
The Reality of the January Effect: Who Knows
Clearly, there has been a lot of research on the January Effect (and we’ve only touched the wave tops!). On net, the research suggests the January Effect may have some mojo, but there are plenty of questions on the topic.
Bottomline: Most investors are better off not paying attention to the January Effect.
Instead, investors should focus on what they can control: 1) Identify their goals, 2) maintain a long-term horizon, and 3) keep things simple.
Note: This site provides no information on our value investing ETFs or our momentum investing ETFs. Please refer to this site.
Join thousands of other readers and subscribe to our blog.
Please remember that past performance is not an indicator of future results. Please read our full disclaimer. The views and opinions expressed herein are those of the author and do not necessarily reflect the views of Alpha Architect, its affiliates or its employees. This material has been provided to you solely for information and educational purposes and does not constitute an offer or solicitation of an offer or any advice or recommendation to purchase any securities or other financial instruments and may not be construed as such. The factual information set forth herein has been obtained or derived from sources believed by the author and Alpha Architect to be reliable but it is not necessarily all-inclusive and is not guaranteed as to its accuracy and is not to be regarded as a representation or warranty, express or implied, as to the information’s accuracy or completeness, nor should the attached information serve as the basis of any investment decision. No part of this material may be reproduced in any form, or referred to in any other publication, without express written permission from Alpha Architect.
Definitions of common statistics used in our analysis are available here (towards the bottom)
References [ + ]
|1.||↑||This post is similar to a discussion on seasonality outlined in our new book, Quantitative Momentum|