Volatility Diverges Between Individual Stocks and Indices! Popular US Stock Trading Strategy: Trading Multiple Stock Options and Hedging with Index Options

AI narrative divergence, volatile oil prices, and soaring US Treasury yields are collectively fueling a hot trend in the US stock options market— dispersion trading . The core logic of this strategy is to buy multiple stock options and short index options , profiting from the gap between the volatility of individual stocks and the index.

According to Bloomberg, the current market environment offers a rare entry window for this strategy. Implied volatility for individual stocks has been contracting since the end of July, particularly for soaring tech stocks, making the cost of building positions for diversification relatively low. At the same time, the rapid shift in AI winner-loser narratives, the sharp impact of geopolitical conflicts on energy stocks, and the rise in US Treasury yields to 20-year highs are driving a faster divergence in the performance of S&P 500 constituent stocks—precisely the ideal environment for diversification. The realized one-month absolute return of S&P 500 constituent stocks relative to the index itself has risen to the 95th percentile over the past 30 years.

However, this deal was not without controversy. Some market participants warned that diversification is already an overcrowded strategy and is at risk of being "shuffled out" at any time; others believe that in a market environment with low certainty, a simpler hedging strategy— buying a few carefully selected stocks while using put options on the S&P 500 ETF or Nasdaq 100 ETF to hedge downside risk —may be more pragmatic.

The gap between individual stock and index volatility has widened again.

The report states that the core premise of diversification is that the volatility of individual stocks is significantly higher than the overall volatility of the index. When the performance of constituent stocks is highly divergent and their correlation decreases, the volatility of the index is offset by internal hedging, making index options relatively "cheap" while individual stock options are relatively "expensive"—this price difference is the source of profit for diversification.

Reports indicate that the spread between implied volatility for individual stocks and the S&P 500 index is widening again , with traders buying individual stock options and selling index contracts to capture this divergence. The Cboe Global Markets One-Month Correlation Index, which had been climbing steadily from its July lows, has fallen back over the past week, confirming the renewed divergence in individual stock performance.

In a research report, Charlie McElligott, cross-asset strategist at Nomura Securities, pointed out that the realized one-month absolute return of S&P 500 constituent stocks relative to the index has risen to the 95th percentile over the past 30 years, indicating an extremely rare degree of stock divergence.

"From an entry point perspective, prices are relatively cheap now compared to not long ago because individual stock volatility has been compressed," said Matthew Davis, Director of Liquid Derivatives Trading at RBC Capital Markets.

AI Narrative Differentiation: The Battle Between Winners and Losers

AI is currently the most crucial driver of decentralized trading. Optimism surrounding Meta Platforms' new Muse AI agent and other products is intertwined with market concerns about the potential impact of AI's rapid expansion on traditional industries such as banking and travel agencies, leading to significant volatility and divergent directions in related stocks.

Alex Kosoglyadov, head of liquid equity derivatives sales at Nomura Securities, said:

"One topic that clients have been frequently asking about recently is the winner-loser narrative in the era of AI intelligent agents—who will benefit from the AI revolution, and who is most vulnerable to it?"

The performance of software stocks is particularly noteworthy. Davis points out, "The price action of software stocks indicates that the market believes AI will not end all software, which I think was a concern before. So you're seeing a reshuffling within the sector." This divergence provides ample room for diversified trading within the technology sector.

Kris Sidial, co-chief investment officer of Ambrus Group, holds a more extreme view on the long-term impact of AI:

"The growth, adoption, and impact on GDP of AI could bring some companies unimaginable long-term gains. But at the same time, if AI fails to be widely adopted or bottlenecks appear in the supply chain, the stock prices of these companies could very well fall by more than 50% in the next year."

He added, "This is a very interesting case—both tail risks were underestimated relative to the actual possible scenarios."

In addition to AI, the energy sector and the interest rate environment also provide additional impetus for diversified trading.

The ongoing evolution of the geopolitical situation has led to a significant divergence in the stock price movements of oil and gas producers and refiners—the former are highly correlated with oil price fluctuations, while the latter are driven by crack spreads and demand-side factors. This structural differentiation within the sector creates a clear operational path for diversified trading in the energy field.

Meanwhile, U.S. Treasury yields rose to a 20-year high, pushing up overall financing costs and further exacerbating the divergence in performance among companies in different industries and with varying balance sheet qualities. The gap between interest rate-sensitive industries and sectors benefiting from high interest rates is also a source of potential for diversification in trading.

Strategy Implementation: From Complex Structures to Simple Hedging

The implementation methods for diversification vary from institution to institution, offering a high degree of flexibility. Banks typically build complex, customized diversification strategies for their clients, but many hedge funds prefer to build their own using exchange-traded options.

RBC's Davis stated, "One of the reasons we believe in this deal is that it caters to different needs. If you want a more carry structure, you can sell more index options; if you want a more defensive structure, you don't need to sell as many index options."

For investors unwilling to take on the risks of complex strategies, Alon Rosin, head of institutional equity derivatives at Oppenheimer & Co., offers a more straightforward alternative:

Select a few promising stocks to establish long positions, while simultaneously buying put options on the State Street SPDR S&P 500 ETF or Invesco QQQ Trust to hedge downside risk.

Rosin admitted that the current market environment is frustrating, with "extremely low confidence." However, market uncertainty hasn't deterred traders—according to data from Options Clearing Corp., average daily options trading volume in August increased by 14% year-over-year. Oppenheimer added seven employees between May and June to cope with the surge in client demand for options.

In addition, despite the seemingly favorable entry conditions, the congestion of diversified trades is a risk that cannot be ignored.

Sidial of Ambrus Group bluntly stated, "This trade needs a cleansing. Diversified trading has been popular for the past four or five years, but it's essentially the same trade." He believes that the homogenization of strategies means that once the market reverses, a large number of participants may face loss pressure simultaneously, exacerbating volatility.

In recent weeks, there has been a surge in buying of AI-related stock options, which the market has interpreted as a signal that investors are repositioning themselves for the next round of market activity.

Analysts believe that as earnings season approaches—a period during which individual stocks typically move independently based on their own fundamentals rather than following macroeconomic catalysts—the logic of diversified trading is likely to be further strengthened. However, at the same time, the crowdedness of strategies will also increase, requiring investors to carefully weigh entry timing and position management.

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