
Karl Montevirgen is a professional freelance writer who specializes in the fields of finance, cryptomarkets, content strategy, and the arts. Karl works with several organizations in the equities, futures, physical metals, and blockchain industries. He holds FINRA Series 3 and Series 34 licenses in addition to a dual MFA in critical studies/writing and music composition from the California Institute of the Arts.
Doug is a Chartered Alternative Investment Analyst who spent more than 20 years as a derivatives market maker and asset manager before “reincarnating” as a financial media professional a decade ago.
Before joining Britannica, Doug spent nearly six years managing content marketing projects for a dozen clients, including The Ticker Tape, TD Ameritrade’s market news and financial education site for retail investors. He has been a CAIA charter holder since 2006, and also held a Series 3 license during his years as a derivatives specialist.
Doug previously served as Regional Director for the Chicago region of PRMIA, the Professional Risk Managers’ International Association, and he also served as editor of Intelligent Risk, PRMIA’s quarterly member newsletter. He holds a BS from the University of Illinois at Urbana-Champaign and an MBA from Illinois Institute of Technology, Stuart School of Business.

You may have noticed that every year at around the same time, word of seasonal market expectations tends to surface on Wall Street. The saying âsell in May and go awayâ is a popular one. So is the âSanta Claus rally.â
Are these expectations just figments of Wall Street folklore, reinforced by confirmation bias? Or do they actually have some fundamental basis? These anticipated seasonal effects are part of a broader idea called market seasonality.
Market seasonality refers to the tendency of financial markets to exhibit consistent patterns of demand and production over the calendar year.
Examples of demand would include tax services, which corresponds to the April tax season in the U.S., or vacation-related businesses that tend to see a surge in the summer months. On the production side of things, we can think of companies that need to ramp up production for the holiday shopping season (including Black Friday and Cyber Monday). We also see this on the commodity side of the economy: Farmers keep up with various planting and harvesting seasons, and energy companies look to winter and summer demands to adjust their production schedules.
In short, supply and demand are affected by seasonal trends, from natural events like weather to consumer behavior and investor expectations. Investors who are expecting, say, a seasonal rally, may end up driving prices higher due to the sheer volume of buying. In other words, seasonality can be a self-fulfilling prophecy.
As an investor, you might want to pay attention to these patterns, as they may signal âpredictableâ market opportunities (notice the scare quotes around âpredictableâ). If youâre not all that familiar with seasonal market expectations, below are some of the more popular seasonality models to know.
The January effect refers to the seasonal rise of major stock indexes in the first month of the year. Thereâs also a tendency for stocks within the tech-heavy Nasdaq (NDX) and small-cap Russell 2000 (RUT) to outperform both the Dow Jones Industrial Average (DJX) and the S&P 500 (SPX).
Whatâs driving it? Common theories behind this rise have to do with portfolio rebalances and tax-loss harvesting. In other words, investors who sold their losing stocks in the previous year to write off their capital losses are now buying discounted stocks (likely sold by other investors) in January to add to their portfolios. Also, workers who were granted year-end bonuses may be looking to invest that cash at the start of the new year.
The summer doldrums refers to the stock market slowdown thatâs often expected (although not always realized) between June and August.
Whatâs driving it? Well, itâs summertime. Wall Street, retail investors, and some businesses on Main Street are out vacationing. Although stock prices are expected to be sluggish during this season, it doesnât always happen. Economic cycles tend to have their own effect on markets, and they donât necessarily align with seasonal cycles.
The Halloween effect is based on the seasonal assumption that the stock market performs poorly from May to October 30 and better from October 31 (Halloween) to the end of April. Some studies attest that being in the market only during the outperforming months has yielded favorable results during certain historical periods. Still, thereâs no guarantee, so you have to do your own research.
Whatâs driving it? Hereâs the problem: Nobody can pin down a cause for this seasonal pattern. Itâs related to the âsell in Mayâ approach, but that phraseââSell in May and go away, come back on Saint Legerâs Dayââoriginated in the London financial district (Saint Legerâs Day refers to a popular annual horse racing event held in September and dating to 1776). Whatâs behind that saying? Itâs about going off to vacation starting in May to avoid the London heat. In this regard, the Halloween effect may be the flip side of the summer doldrums.
The Santa Claus rally refers to the tendency for stock prices to rise between the last week of December and the first few trading days of Januaryâfrom Christmas to New Year, hence the âSanta Clausâ reference.
Whatâs driving it? It could be many things, but nobody knows for sure. Holiday spending boosts business profits. Perhaps investors anticipating this decide to purchase shares before the coming quarterly earnings report. Maybe investors are feeling optimistic about the new yearâs prospects (after a night of caroling and eggnog), prompting them to buy stocks. Or perhaps investors are trying to get a jump on an expected January effect. Still, thereâs no guarantee that Santa wonât turn back his sleigh if an economic fog renders Rudolphâs nose ineffective.
The end-of-quarter effect. The end-of-quarter effect is a pattern of high volatility in the markets during the last few trading days of an annual quarter. The assumption is that large funds are rebalancing their portfolios or âpumpingâ their positions to boost their quarterly portfolio performance before lightening the same positions at the end of the quarter to bring them back into balance. Thereâs no hard proof that funds rebalance every quarter, but itâs not a bad assumption.
The presidential election cycle. Finally, but certainly not the last among stock market seasonality models, thereâs the presidential election cycle. It was popularized by Yale Hirsch, who founded the Stock Traderâs Almanac. In a nutshell (and in this case, risking oversimplification), Hirschâs theory states that the third year of a presidentâs term historically tends to be the strongest. Thereâs much more to this, so investigate further if it interests you.
Commodities tend to be driven by weather and seasonal demand:
Investors should be aware of the different factors that play into seasonal expectations, from seasonal demand and weather to consumer behavior and expectations. By closely monitoring the factors that may (or may not) drive the next seasonal event, you can prepare for seasonal or time-based market opportunities while steering clear of potential pitfalls.