The January effect is a seasonal anomaly in the financial market where securities' prices increase in the month of January more than in any other month. This creates an opportunity for investors to buy stock for lower prices before January and sell them after their value increases.
Therefore, the main characteristics of the January Effect are an increase in buying securities before the end of the year for a lower price, and selling them in January to generate profit from the price differences.
The recurrent nature of this anomaly suggest that the market is not efficient, as market efficiency would suggest that this effect should disappear.
The January Effect was first observed in, or before, 1942 by investment banker Sidney B. Wachtel. It is the observed phenomenon that since 1925, small stocks have outperformed the broader market in the month of January, with most of the disparity occurring before the middle of the month.
When combined with the four-year presidential cycle, historically the largest January Effect occurs in year three of a president's term.
The most common theory explaining this phenomenon is that individual investors, who are income tax-sensitive and who disproportionately hold small stocks, sell stocks for tax reasons at year end (such as to claim a capital loss) and reinvest after the first of the year. Another cause is the payment of year end bonuses in January. Some of this bonus money is used to purchase stocks, driving up prices. The January effect does not always materialize; for example, small stocks underperformed large stocks in January 1982, 1987, 1989 and 1990.
Burton Malkiel, ex-director of The Vanguard Group, asserts that seasonal anomalies such as the January Effect are transient and do not present investors with reliable arbitrage opportunities. He sums up his critique of the January Effect by stating that "Wall Street traders now joke that the “January effect” is more likely to occur on the previous Thanksgiving. Moreover, these nonrandom effects (even if they were dependable) are very small relative to the transaction costs involved in trying to exploit them. They do not appear to offer arbitrage opportunities that would enable investors to make excess risk adjusted returns."
- Calendar effect
- Financial market efficiency
- July effect
- Limits to arbitrage
- Market timing
- Sell in May
- Santa Claus rally
- Keim, Donald B.: Size-Related Anomalies and Stock Return Seasonality: Further Empirical Evidence, Journal of Financial Economics 12 (1983)
- Siegel, Jeremy J.: Stocks for the Long Run (Irwin, 1994)pp. 267-274
- "January’s Stock Temptation". The New York Times. January 18, 2013.
- Burton, Malkiel: Efficient Market Hypothesis and Its Critics, The Journal of Economic Perspectives 17 (2003) pp. 64. Available at: http://www-stat.wharton.upenn.edu/~steele/Courses/434/434Context/EfficientMarket/malkiel.pdf