The Power of Extended Expiration Options in Earnings Trading
The Power of Extended Expiration Options in Earnings Trading
By:Kai Zeng
Research suggests that slightly extending trading durations during expirations won't compromise profits, but will reduce volatility
- Now is a good time to explore the potential of extended earnings expiration in Shopify (SHOP).
- We've investigated the performance of weekly options during earnings season since 2015, using data from five companies: Advanced Micro Devices (AMD), Intel (INTC), JP Morgan (JPM), IBM (IBM) and Amazon (AMZN).
- Earnings are a 50-50 shot and trading them is a random game.
As we navigate through earnings season, it's an opportune time to explore the potential of extended earnings expiration. Traders frequently prefer the nearest expiration cycle due to its notably higher implied volatility, which leads to inflated option prices. This trend is evident across nearly all stocks, as exemplified by Shopify (SHOP) in the following chart.
In this case, the earnings volatility for Shopify can fluctuate from 144% in the initial week to mid-70s in subsequent weeks. As we approach the earnings date, volatility tends to increase. However, this increase isn't always reflected as significantly in option pricing as one might anticipate. A 100% higher implied volatility doesn't necessarily translate into option prices that are twice as expensive.
While the front week options present the highest daily potential profit and loss (P&L), subsequent weeks also yield substantial figures, often two or three times more than regular monthly options.
We've analyzed the implied volatility across various timeframes, from three to 45 days, using a SHOP straddle as an illustrative example. From the table, we can see that the potential daily max return can vary from 2.40 for the shortest weekly options to 0.24 for a 45-day option. This demonstrates how earnings expectations can inflate the options premium, particularly for weekly options from a daily change perspective.
It's intriguing to consider the performance of slightly longer weekly options during earnings season in comparison to front-week options. Could they serve as viable alternatives? We've investigated the performance of weekly options during earnings season, using data from five companies since 2015: Advanced Micro Devices (AMD), Intel (INTC), JP Morgan (JPM), IBM (IBM) and Amazon (AMZN). The trades were entered the day before earnings and covered the day after.
Reviewing the stocks' performances, all demonstrated average positive returns post-earnings, accompanied by a significant amount of volatility. This is to be expected given the nature of earnings movement. So, examining longer expiration options becomes meaningful because traders can have more time to adjust their position if a black swan event happens.
Our analysis revealed that not all stocks showed positive returns post-earnings, but the longer expiration cycles didn't underperform the front week on average. This is a promising indication for potentially utilizing slightly longer expiration cycles. We then questioned the impact of volatility.
Volatility tends to decrease with longer-duration options, which is logical. This confirms that slightly extending trading duration won't necessarily compromise profits while reducing volatility.
While options with shorter duration may offer a higher potential daily return for an earnings play – on paper, slightly longer duration options, such as two or three weeks, don't necessarily result in reduced performance. They may even help to decrease volatility and stabilize returns. As our studies indicate, extending our timeframe doesn't necessarily lead to poorer outcomes. In fact, in many instances, we might fare better.
Remember, earnings are a 50-50 shot and trading them is a very random game. However, by going out a bit longer, you might just improve your odds.
Kai Zeng, director of the research team and head of Chinese content at tastylive, has 20 years of experience in markets and derivatives trading. He cohosts several live shows, including From Theory to Practice and Building Blocks. @kai_zeng1
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