AI, oil and rates volatility revives hedge funds dispersion trade

Sharp fluctuations in individual stocks, fueled by evolving expectations around artificial intelligence, oil market disruptions, and climbing bond yields, have reignited interest in hedge funds employing equity dispersion strategies, according to a Bloomberg report. This strategy aims to capitalize on disparities in the performance of individual stocks while mitigating overall market exposure.

The trade has gained traction as companies within major indices exhibit divergent performance. Artificial intelligence has been a significant contributor to this divergence. Excitement over advancements like Meta Platforms' Muse AI agent is tempered by apprehensions that rapid AI progress may disrupt various sectors, including banking and travel services.

Meanwhile, geopolitical events surrounding conflicts in Iran and Ukraine have led to significant shifts in energy stocks, while a sustained increase in Treasury yields has elevated borrowing costs. "Agentic AI winner-and-loser" trades have emerged as a prime focus for investors, as noted by Alex Kosoglyadov, head of flow equity-derivatives sales at Nomura Holdings.

The dispersion opportunity emerges when stocks in an index like the S&P 500 move in contrasting directions, diminishing the correlation among constituents while experiencing substantial price swings. Single-stock implied volatility has declined since late July, particularly for some technology stocks that have propelled the market upward, potentially offering a more compelling entry point for dispersion strategies.

The gap between individual stock volatility and that of the broader S&P 500 is also widening once more. Traders can take advantage of this by purchasing options on individual companies while selling index options, positioning for heightened divergence among constituents. This setup could become even more pronounced as the upcoming earnings season unfolds.

Company-specific results and guidance can trigger significant shifts in individual shares, potentially generating greater dispersion than periods dominated by a singular macroeconomic theme. Options activity indicates investors are positioning for further volatility in AI-related stocks. S&P 500 constituents' realized one-month absolute return relative to the index has climbed to the 95th percentile of its historical range over the past three decades.

The Cboe Global Markets one-month correlation index, which had been rebounding from a record low in July, saw another decline during the latest week, indicating increased differentiation between stocks. These opportunities extend beyond the technology sector. Energy markets present another potential source of dispersion, with refiners and oil producers facing varied impacts from changes in crude prices and geopolitical developments.

Software stocks have also experienced rapid changes in investor expectations regarding the potential impact of AI, creating prospects for strategies based on differences between individual companies. However, dispersion has become a well-established hedge fund strategy, and its popularity has prompted some investors to question whether the trade has become oversaturated.

Banks provide advanced versions of the strategy, but hedge funds can also build their positions using listed options. For investors navigating a market characterized by low conviction and sudden reversals, simpler approaches may involve taking positions in selected stocks while utilizing index options to manage broader market risk.