What Is the Presidential Cycle?

The US Presidential Cycle (or Election Cycle) is one of the oldest and best-documented seasonality patterns in equity markets. The idea: the four years of a US presidency each have their own statistically distinct return patterns. Yale Hirsch first systematically described the pattern in the 1960s — and it still works today.

The four years are classified as:

PositionNameExamples
Year 1Post-Election Year2025, 2021, 2017
Year 2Midterm Year2026, 2022, 2018
Year 3Pre-Election Year2027, 2023, 2019
Year 4Election Year2028, 2024, 2020

The current year 2026 is a Midterm Year — historically the weakest year in the cycle.

The Results: 130 Years of Dow Jones

We analyzed the Dow Jones Industrial Average from 1898 to 2025 — 32 complete 4-year cycles, 128 years in total. Here is the summary:

Cycle YearAvg. Annual ReturnAvg. Max DrawdownWin Rate (positive)
Year 1 (Post-Election)+3.8%–16.7%56%
Year 2 (Midterm)+5.1%–17.9%59%
Year 3 (Pre-Election)+13.2%–16.1%78%
Year 4 (Election)+7.9%–15.8%66%

The pattern is clear and persistent:

Presidential cycle 4 cycles in the Dow Jones — historical trajectories overlaid
Presidential cycle 4 cycles in the Dow Jones — historical trajectories overlaid

Why Does the Pattern Exist?

Three plausible explanations:

1. Political Stimulus Cycles

Presidents have an incentive to stimulate the economy in the third and fourth year of their term — just before the next election. Tax cuts, infrastructure packages, expansionary fiscal policy tend to be passed in the second half of the term. This drives Pre-Election Years.

2. Uncertainty Resolution

In the Midterm Year, political uncertainty is highest: the president has lost power, the opposition mobilizes, reforms are blocked or rushed through. More uncertainty = higher volatility = deeper drawdowns. After the midterm election (i.e., from November of the Midterm Year onward), a relief rally typically returns.

3. Self-Fulfilling Prophecy

Many professional investors know the pattern and position accordingly. This reinforces it. If there were no fundamental effect at play, it would "trade away" — but it doesn't, because the fundamental drivers (stimulus, politics) are real.

Tutorial: How to Use the Cycle Yourself

Step 1: Determine Cycle Position

A year's position in the presidential cycle can be read directly from the remainder of division by 4 — i.e., year mod 4:

`Year mod 4`PositionMeaningExample Years
0Election YearPresidential election year (US election in November)2020, 2024, 2028
1Post-Election Year1st year of the new president's term2021, 2025, 2029
2Midterm Year2nd year — midterm congressional elections2022, 2026, 2030
3Pre-Election Year3rd year — preparation for the next election2023, 2027, 2031

Example 2026: 2026 ÷ 4 = 506 remainder 2Midterm Year. It is the second year of the president elected in November 2024, and in November 2026 the midterm elections to the US Congress take place.

⚠️ Note on convention: Some sources count the Election Year as "Year 4" (end of the term), others as "Year 1" (beginning of the new electoral period). We use here the historically common sequence Post-Election → Midterm → Pre-Election → Election and compute directly via year mod 4, which is unambiguous.

Step 2: Activate the Cycle Filter in SeasonAlpha

On the Annual Cycle page you will find a "Cycle" filter in the sidebar. Choose from:

The seasonal trajectory recalculates — with the filter you see the actual historical pattern for the current cycle position.

Step 3: Compare with the Overall Average

Do both in sequence: once "All years" and once with the cycle filter. Compare the trajectories. Where are the differences?

For 2026 (Midterm), the typical differences are:

Step 4: Adjust Risk Management Accordingly

If you actively trade and take the cycle pattern seriously:

In Midterm YearsRecommendation
Q1–Q2Reduced position, higher cash allocation
Summer (May–Sep)High caution, consider hedges (puts, defensive sectors)
Q4 (from November)Scale up — historically the strongest period

In Pre-Election Years (i.e., 2027), there is more room for more aggressive long positions.

How Reliable Is the Pattern?

Assessment with data:

Put differently: you can use the pattern to calibrate your statistical expectation — but never to guarantee a single year's forecast.

What the Next 4 Years Mean Statistically

YearPositionHistorical Expectation
2026MidtermVolatile, weak summer, Q4 recovery
2027Pre-ElectionStatistically strongest year (+13% avg.)
2028ElectionSolid (+8% avg.), but election-dependent
2029Post-ElectionWeakest year (+4% avg.)

For long-term thinkers: 2027 has historically the best risk-return trade-off. But that is only one data point among many — valuation, macro, and politics need to be added.

Conclusion

The presidential cycle is one of the most robust seasonal patterns overall — statistically significant over 130 years, fundamentally explainable, stable in recent decades. Those who understand it and combine it with other filters (sector, valuation, macro) have a measurable edge in asset allocation.

Try it yourself: Annual Cycle page with the cycle filter, and for a quick overview the Dashboard — the Trading Day Header shows you the current cycle position directly in the top right (e.g., "MidTerm" for 2026).

Further reading: