Earnings Season Analysis: A Coin Flip
By Koen Hoorelbeke, Investment and Options Strategist
Summary
The upcoming Q3 2026 earnings season, starting on October 8, is characterized by uncertainty, with the direction of stock movements post-earnings being nearly a 50/50 chance. The article emphasizes that successful traders distinguish themselves not by predicting the direction of stock movements but by the payoff structures they create around their trades.
Key Dates
- October 8: PepsiCo
- October 9: Delta Air Lines
- October 13: JPMorgan Chase, Citigroup, Wells Fargo, Goldman Sachs
- October 14: Bank of America, Morgan Stanley
Understanding Earnings Reactions
The article explains that the options market provides insights into expected stock movements based on the prices of at-the-money calls and puts. This expected move is often more reliable than individual analyst predictions, as it reflects the collective sentiment of market participants.
However, even if a company beats earnings expectations, the stock may still decline if the results do not exceed market expectations. This dynamic contributes to the near coin-flip nature of earnings reactions.
Risk and Reward Dynamics
The article presents two hypothetical traders to illustrate that win rates alone do not determine success. Trader A wins 65% of the time but has smaller average gains, while Trader B wins only 35% of the time but has larger average gains. Despite winning less frequently, Trader B ends up with a higher profit due to the payoff structure.
Market Pricing and Strategy
The options market efficiently prices the trade-off between win rates and payoff sizes. Traders are encouraged to assess the priced-in moves of stocks against their historical performance to identify potential opportunities. The article suggests a systematic approach to building a portfolio of trades rather than relying on individual bets.
Practical Framework for Traders
As the earnings season approaches, traders are advised to:
- Compile a list of companies reporting earnings with liquid options.
- Rank these companies based on their historical post-earnings movements compared to current priced-in moves.
- Diversify trades across sectors and timeframes to mitigate risk.
- Pre-determine exit strategies for each position.
- Evaluate results as part of a broader sample over multiple seasons.
Conclusion
The article concludes that while individual trades may be uncertain, a well-structured approach to earnings trading can yield valuable insights and potentially profitable outcomes over time. Traders should focus on building a robust sample of trades rather than fixating on the outcome of single events.