AI, oil and higher yields revive hedge funds’ dispersion trade

Hedge funds are increasing activity in equity dispersion strategies after sharp, diverging moves across stocks linked to AI developments, oil-market shocks and rising Treasury yields. Those forces have reduced correlation among companies in major indexes while individual shares move more sharply.

Dispersion strategies aim to profit from differences in returns among individual stocks while limiting exposure to the broader market. Traders typically benefit when stocks inside an index move in different directions and correlation falls even as individual volatility rises.

Large shifts in expectations around artificial intelligence have been a major source of divergence. Strong product rollouts and technology gains have lifted some firms, while concerns that rapid AI progress could disrupt certain industries have weighed on others. Alex Kosoglyadov, head of flow equity-derivatives sales at Nomura Holdings, noted, “Agentic AI winner-and-loser trades have consequently become a particular focus for investors.”

Energy markets have produced separate pockets of divergence. Geopolitical developments related to conflicts in Iran and Ukraine have driven volatility in crude prices. Refiners and oil producers often respond differently to crude-price swings, producing varied returns across energy companies. At the same time, a sustained rise in Treasury yields has raised borrowing costs unevenly across firms.

Several market indicators show widening room for dispersion trades. Single-stock implied volatility has declined since late July for some technology leaders, creating cheaper entry points to buy options on those names. The gap between implied volatility on individual stocks and on the S&P 500 index has begun to widen again. The one-month realized absolute return of S&P 500 constituents relative to the index is near the 95th percentile of its historical range over the past three decades. The Cboe Global Markets one-month correlation index fell in the latest week, indicating greater differentiation among stocks.

Traders construct dispersion positions in different ways. A common approach is to buy options on selected companies and sell options on the index to hedge market risk. Banks and institutional desks can use more structured derivative packages, while some investors use listed options to approximate the trade. In markets with quick reversals and low overall conviction, simpler combinations of long stock positions and index hedges are also used.

The upcoming earnings season could increase company-specific moves. Quarterly results and forward guidance often trigger idiosyncratic price swings that can widen dispersion beyond periods driven mainly by a single macro factor.

The strategy carries risks. Its growing use has prompted questions about overcrowding, and falling implied volatility in parts of the market can alter the cost dynamics that support the trade. Traders are monitoring scheduled corporate reports and macroeconomic data for catalysts that could extend or reduce current dispersion opportunities.