Products
SentimenTrader Trading Tools
‍
Backtest Engine
My Trading Toolkit
Correlation Analysis
Seasonality
Market Prediction
Indicators & Data API
‍
Proprietary Indicators & Charts
Market Data API
Strategies & Scanner
‍
50+ Trading Strategies
Smart Stock Scanner
Smart Option Scanner
Research Reports
‍
Research Solutions
Reports Library
Free Resources
Simple Backtest Calculator
Simple Seasonality Calculator
The Kelly Criterion Calculator
Sentiment Geo Map
Public Research Reports
Education
Sentiment Indicators
Technical Indicators
Pricing
Company
About
In the News
Testimonials
Client Success Stories
Contact
Log inLoginSign up
< BACK TO ALL REPORTS

The most small-cap time of the year approaches

Jay Kaeppel
2023-12-12
The small-cap sector will soon enter a time of year when it tends to show strong absolute and relative performance. This piece looks at historical results to help assess current prospects.

Key Points

  • Small caps will soon enter their most favorable seasonal period of the year
  • A particular window from mid-December into mid-February has tended to witness outperformance by small-cap stocks
  • Large-cap stocks have historically dominated the rest of the year.

Test Periods and Data

We will focus on two seasonal periods, one favoring small-caps and the other large-caps.

  • Period #1 extends from the close on the 11th trading day of December through the close on the 11th trading day of February. This period tends to favor small-caps.
  • Period #2 extends from the close on the 11th trading day of February through the close on the 11th trading day of December. This period tends to favor large caps.

NOTE: The next Period #1 will begin on the close of trading on 2024-12-16 and will extend through the close on 2024-02-15.

We will use the Fama French small-cap and large-cap indexes from 1926 to 1991 and then the S&P small-cap and large-cap index after that. Our historical test period extends from 1926-12-13 through 2023-11-30.

Test Period #1: Favoring Small Caps

The chart below displays the growth of $1 invested in small-caps (black line) versus $1 invested in large-caps (blue line) only from the close on the 11th trading day of December through the close on the 11th trading day of February, every year starting in 1926.

A graph of a price chart

Description automatically generated with medium confidence

$1 in small-caps grew to $1,209 (+120,754%) versus $1 in large-caps increased to $20 (+1,894%). The chart below divides the growth of $1 in small caps by the growth of $1 in large caps during the mid-December into the mid-February period.

A graph of a stock market

Description automatically generated

Lest anyone thinks that piling into small caps for the months ahead is a "sure thing," note that in the past 97 years, small caps have outperformed large caps 72 times during this seasonal window, or 74% of the time. This constitutes an "edge" but is nowhere close to a "sure thing."

Test Period #2: Favoring Large Caps

The chart below displays the growth of $1 invested in small-caps (black line) versus $1 invested in large-caps (blue line) only from the close on the 11th trading day of February through the close on the 11th trading day of December, every year starting in 1926.

A graph showing the price of a stock market

Description automatically generated

$1 in small caps grew to $21 (+2,006%), while $1 in large caps increased to $422 (+42,117%). The chart below divides the growth of $1 in small caps by the growth of $1 in large caps during the mid-December into the mid-February period.

A graph showing a line graph

Description automatically generated

A Switching Strategy versus doing the opposite

Let's examine a strategy that holds small-cap stocks during the Dec TDM #11 through Feb TDM #11 period and then switches to large-cap stocks during the Feb TDM #11 through Dec TDM #11 period. For comparison, we will also consider a strategy that does just the opposite (i.e., it holds large caps during the December into February period and small caps the rest of the year).

  • $1 invested in the Switching Strategy grew to $506,433
  • $1 invested 50/50 in Small and Large cap increased to $16,534
  • $1 invested in the Opposite Strategy grew to $408

The chart below displays the growth of $1 invested using the Switching Strategy divided by $1 invested using buy-and-hold.

A graph showing the price of a stock market

Description automatically generated

There are two key things to note. First, the long-term trend toward outperformance is unmistakable. However, regarding real-world trading realities, the second thing to note is that this ratio can go sideways to lower for years at a time. The danger here is that an investor who leans small-cap from Dec to Feb and large-cap the rest of the year may grow frustrated and abandon the approach - most likely just when it is about to start working again.

The chart below displays the growth of $1 invested using the Switching Strategy divided by $1 invested using the opposite strategy. While outperformance following the Switching Strategy is no sure thing, thumbing your nose at the tendency for small caps and large caps to perform better during different times of the year would historically have been a foolish thing to do.

A graph showing the growth of the stock market

Description automatically generated

The table below summarizes small-cap and large-cap performance during the two seasonal periods. It also compares the performance of the Switching Strategy to a strategy that does just the opposite.

The green boxes highlight that small-caps outperformed from Dec TDM 11 to Feb TDM 11, large-caps outperformed during Feb TDM 11 to Dec TDM 11, and the Switching Strategy outperformed the Opposite Strategy.

A screenshot of a computer screen

Description automatically generated

What the research tells us…

The bad news first: There is no guarantee that the tendency for small caps to outperform mid-Dec to mid-Feb and for large caps to outperform the rest of the year will play out that way year-to-year. This can be highly frustrating. Likewise, there is no guarantee that the seasonal trends highlighted herein will continue ad infinitum into the future. With those caveats in mind, for the past century, there has been a clear edge associated with favoring one over the other based on the date showing on the calendar.

Each investor must decide how and to what extent to use knowledge of this edge. A mechanical approach that switches from 100% large-cap to 100% small-cap and back again based on the calendar probably only makes sense if only some portion of investment capital is allocated.

PRODUCTS
SentimenTrader
Trading Tools
Indicators & Data API
‍
Strategies & Scanner
‍
Research Reports
FREE
RESOUrCES
Simple Backtest
Calculator
Simple Seasonality
Calculator
The Kelly Criterion
Calculator
Sentiment Geo Map
‍
Public Research Reports
‍
Education
Sentiment Indicators
‍
Technical Indicators
‍
Pricing
Bundle pricing
‍
FAQ
‍
Announcements
‍
COMPANY
‍
About
‍
In the News
‍
Testimonials
‍
Client Success Stories
CONTACT
‍
General Inquiries
‍
Media Inquiries
‍
Financial Professionals Inquiries
‍
© 2026 Sundial Capital Research Inc. All rights reserved.
Setsail Marketing
TermsPrivacyAffiliate Program
Risk Disclosure: The information and tools provided are for research and analytical purposes only and are not intended as investment advice. Market analysis involves uncertainty, and outcomes may differ from expectations. Users should conduct their own due diligence and consider their individual circumstances before making any financial decisions. Past performance is not necessarily indicative of future results.

Hypothetical Performance Disclosure: Hypothetical performance results have many inherent limitations, some of which are described below. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown; in fact, there are frequently sharp differences between hypothetical performance results and the actual results subsequently achieved by any particular trading program. One of the limitations of hypothetical performance results is that they are generally prepared with the benefit of hindsight. In addition, hypothetical trading does not involve financial risk, and no hypothetical trading record can completely account for the impact of financial risk of actual trading. for example, the ability to withstand losses or to adhere to a particular trading program in spite of trading losses are material points which can also adversely affect actual trading results. There are numerous other factors related to the markets in general or to the implementation of any specific trading program which cannot be fully accounted for in the preparation of hypothetical performance results and all which can adversely affect trading results.

Testimonial Disclosure: Testimonials appearing on this website may not be representative of other clients or customers and is not a guarantee of future performance or success.