As Midterm Elections Approach, the Real Trade in U.S. Stocks Isn't About Who Wins
With the US midterm elections approaching in early November, political uncertainty has re-emenrged as a market variable. While market participants are weighing potential shifts in congressional control and policy direction, historical data suggests midterm elections themselves are not a definitive negative catalyst for US equities. Since 1937, the S&P 500 has averaged a positive gain of 9.2% in midterm election years, though this lags behind the 13.3% average for non-election years. A more consistent historical pattern is increased market volatility and a tendency for stronger performance concentrated in the fourth quarter, as political uncertainty is resolved.
The article, citing analysis from J.P. Morgan and Capital Group, argues that the market's primary concern is policy path uncertainty rather than which party wins. This uncertainty tends to depress markets in the run-up to the vote, with a potential rebound afterward as the political risk premium dissipates. However, the article cautions against attributing market performance solely to the election. Recent midterm years like 2018 and 2022 saw significant market declines primarily driven by factors like Federal Reserve tightening and inflation, not the election outcome itself.
The core argument is that the midterm election's impact on markets is often secondary to more fundamental drivers. Regardless of whether the result is a unified or divided government, the market's longer-term trajectory has historically been determined by underlying economic conditions. For the current environment, the key variables to watch post-election are not political labels but the path of interest rates, corporate earnings trends, and whether any actual policy changes materially alter cash flow expectations for businesses. The election may influence sentiment and policy expectations, but the sustainability of any year-end rally will ultimately depend on these core fundamentals of profitability, rates, and economic data.
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