Midterm Elections Won't Move the Market the Way You Think They Will

The 2026 midterms land on November 3 — all 435 House seats, 35 Senate seats, and 39 governorships on the ballot. If you trade, you’ve probably already noticed the tone shift: more headlines, more hot takes about what a change in Congress means for your portfolio, more temptation to trade the news instead of your plan. Here’s what the data actually says — and where the real risk sits, which isn’t where most traders think it is.

Key takeaways

• Midterm years do carry a measurable uncertainty premium: below-average returns, above-average drawdowns, and elevated implied volatility that tightens as the race narrows — the Pastor & Veronesi (2013) “political risk premium” playing out in real time.
• But the twelve-month return after a midterm since 1950 has never been negative — ~15% on average. Markets consistently treat uncertainty-resolution as bullish, almost regardless of which party wins.
• The real risk for most traders in an election window isn’t the index-level drawdown. It’s headline-driven behavior at the account level: widening stops on debate reaction, doubling size on a “sure thing” sector rotation, abandoning a working strategy for two months.
• The mechanism is identical to any other high-attention, low-certainty event — FOMC, earnings, geopolitical flare-ups. The costume changes; the behavior doesn’t. It’s measurable in your own trade log.

The volatility is real. The direction isn’t predictable from it.

Political uncertainty measurably moves markets. This is not pundit intuition — it is one of the most robust findings in modern asset pricing. In their 2013 Journal of Finance paper “Political Uncertainty and Risk Premia,” Łuboš Pástor and Pietro Veronesi built a general equilibrium model showing that political uncertainty commands a positive risk premium — investors require higher expected returns for holding equities through periods when the policy environment is unresolved. Their empirical companion piece (with Bryan Kelly, 2016 Journal of Finance, “The Price of Political Uncertainty: Theory and Evidence from the Option Market”) confirmed the model in options data across 20 elections in 20 countries: implied volatility rises measurably in the weeks before contested national votes, then compresses after.

The Baker, Bloom & Davis Economic Policy Uncertainty (EPU) index — a text-based measure of policy-related newspaper coverage constructed since 1985 — also spikes reliably around U.S. elections. Their 2016 Quarterly Journal of Economics paper documented that one-standard-deviation increases in the EPU index are associated with declines in investment, output, and employment in the following months. The mechanism is real, the effect size is measurable, and it’s not election-specific — any high-attention, low-certainty policy moment shows up in the same data.

This shows up structurally in the four-year presidential cycle. Since 1950, the S&P 500 has averaged only about 4.6% in the second year of a presidential term — the midterm year — well below the long-run average of roughly 10%. Intra-year drawdowns average 17–18% peak-to-trough, the deepest of any year in the four-year cycle. That’s not a market falling apart; it’s a market chopping sideways and down before it has enough information to move with conviction. The pattern goes back to Yale Hirsch’s original Stock Trader’s Almanac work in the 1970s and has been re-tested by academic authors including Booth & Booth (2003), Chittenden et al. (2005), and Wong & McAleer (2009). The finding is remarkably durable: the midterm year is the “pause” year in the cycle, with the pre-election and post-election years historically stronger.

What happens after the vote is the more interesting number

Here’s the part that gets buried under midterm-anxiety headlines: since 1950, the S&P 500 has not posted a single negative twelve-month return following a midterm election. Nineteen for nineteen. The average one-year return after the vote has been on the order of 15%, more than triple the return during the midterm year itself. Markets consistently treat “the uncertainty is resolved” — regardless of which way it resolves — as bullish information, because uncertainty itself is the thing being priced, not any particular outcome.

This is exactly the Pástor-Veronesi mechanism playing out in the data: the political risk premium is a compensation demanded while the uncertainty exists. Once it resolves — regardless of direction — the premium unwinds and prices adjust upward. Kelly, Pástor & Veronesi (2016) show this cleanly in the option-market data: implied volatility ranges spike into the vote, then compress within days of the result, whichever way the result goes.

This is the single most useful fact in this entire piece, and it’s the one most likely to get lost if you’re actively trading the volatility in October. The pattern isn’t “Republicans good for stocks” or “Democrats good for stocks” — it’s uncertainty-resolution good for stocks, almost regardless of the resolution. Six data points of “since 1950” is a pattern worth knowing, not a law of physics; some future midterm year will inevitably break the pattern. But the directional expectation, informed by both the historical record and the underlying theory, is that being present for the resolution matters more than being correctly-positioned through the uncertainty.

The actual risk isn’t the election. It’s what you do with the noise beforehand.

None of this is a reason to sit out the next two months, and it’s not a forecast. The real risk for most traders in an election window isn’t the index-level drawdown. It is headline-driven behavior at the individual account level:

• Widening stops because a debate went a certain way and now the position “deserves more room.”
• Doubling size on a “sure thing” sector rotation because a poll moved and the narrative around energy / defense / financials / healthcare shifted overnight.
• Abandoning a working strategy for two months because the market feels “different” and CNBC’s chyron got more dramatic.

That’s a behavioral problem wearing a political costume. The mechanism is identical to what happens around any high-attention, low-certainty event — Fed announcements, earnings season, geopolitical flare-ups. Attention spikes, position sizes drift, and decisions that would normally go through a process get made on vibes instead. The event changes; the behavior pattern doesn’t. Barber & Odean’s Journal of Finance 2008 paper “All That Glitters” documented this precisely: retail traders systematically over-buy attention-grabbing stocks, and the subsequent returns are notably poor. An election is the same attention-mechanism at index scale.

What to actually do with this

A few things follow directly from the data, not from politics:

• Expect wider realized ranges through early November and size accordingly. A volatility premium that’s priced into options isn’t a trading signal, it’s a cost of doing business during this window. If you normally use 1-ATR stops, remember that the ATR itself is going to expand.
• Resist the urge to make directional election bets based on which party you expect to win. The historical record doesn’t reward that trade — it rewards being positioned to survive chop and being present for the resolution rally that has, so far, shown up every single cycle since 1950.
• Flag any drift in your own process during the window. If your position sizing or stop placement is moving in step with poll numbers rather than your own plan, that’s worth noticing — not because it’s unpatriotic, but because it’s the same tell that shows up in every other headline-driven drawdown in a trade history.

That last part is the whole reason we built Gecko: your trade log already has this pattern in it, whether it’s an election, an FOMC meeting, or a CPI print driving it. The behavioral axes we grade — after-loss tilt, size discipline, hold time — are the exact things that drift during headline-heavy stretches. Full disclosure, obviously — this is our product. But whether you use it or a spreadsheet, the exercise is the same: pull your trades from the last two comparable news-heavy stretches (2024 election, 2022 midterms, any major FOMC week) and check whether your size and stop discipline held, or whether the headlines were doing the trading for you. If they were, you have your first actionable rule for the next eight weeks.

Frequently asked questions

Essay in Gecko’s trading psychology series. Historical market-return figures are drawn from S&P 500 total-return data compiled by J.P. Morgan Asset Management, Capital Group, LPL Research, and the Stock Trader’s Almanac (Yale Hirsch and successors). Academic citations to Pástor & Veronesi (2013, Journal of Finance), Kelly, Pástor & Veronesi (2016, Journal of Finance), Baker, Bloom & Davis (2016, Quarterly Journal of Economics), and Barber & Odean (2008, Review of Financial Studies) are to published, peer-reviewed work; summaries here are non-technical characterizations, and readers interested in methodology should consult the originals. Historical patterns are not forecasts — six-decade averages describe a distribution, not a promise about the next election. This essay is politically neutral and endorses no candidate, party, or policy position. Gecko is an educational and informational tool. Nothing here is financial, investment, or trading advice. Trading carries substantial risk of loss.