Measuring options risk: Delta, gamma, theta, and vega (and rho)
Doug is a Chartered Alternative Investment Analyst who spent more than 20 years as a derivatives market maker and asset manager before “reincarnating” as a financial media professional a decade ago.
Before joining Britannica, Doug spent nearly six years managing content marketing projects for a dozen clients, including The Ticker Tape, TD Ameritrade’s market news and financial education site for retail investors. He has been a CAIA charter holder since 2006, and also held a Series 3 license during his years as a derivatives specialist.
Doug previously served as Regional Director for the Chicago region of PRMIA, the Professional Risk Managers’ International Association, and he also served as editor of Intelligent Risk, PRMIA’s quarterly member newsletter. He holds a BS from the University of Illinois at Urbana-Champaign and an MBA from Illinois Institute of Technology, Stuart School of Business.
John has been a professional derivatives trader and portfolio manager since 2005, and one of a few investment professionals to earn the Derivatives Market Specialist designation from the Canadian Securities Institute.
He created and managed two derivatives-based private funds in Canada and the United States, and provided hedging advisory services to high net worth clients. He is a frequent speaker, commentator, financial market educator, and writer for globally-read investment publications.
When you’re 华南永昌配资_在线配资炒股:first starting your options journey, you’re taught to look at the so-called risk profile at expiration. Whether you’re buying or 华南永昌配资_在线配资炒股:selling a put or call option (or 华南永昌配资_在线配资炒股:option spread), the risk graphs tell you your breakeven price—and whether there are limits to your profit and/or loss, and what those limits will be—depending on whether an option finishes in the money or out of the money.
But most option contracts are closed out prior to expiration, and active traders know it’s important to monitor all open positions. It’s one thing to monitor an options position, and quite another to know what you’re supposed to be looking for. Option valuation is based on a mathematical formula with several components. Those components work together—and sometimes in opposite directions—to change the fair value of the option at any given time. Changes in these risk components—delta, gamma, theta, vega, and rho—are known collectively as “the greeks.” For an options trader, the greeks are the key to the trading strategy.
- Valuation models such as the Black-Scholes-Merton model place a theoretical value on an option’s price given several input variables.
- Changes in these variables are measured by the so-called “greeks”: delta, gamma, theta, vega, and rho.
- Understanding the greeks and how they work—together and separately—to influence option prices over time can help you time entry and exit points.
Black-Scholes-Merton and option valuation models
Back in 1973, an elegant mathematical model was created to calculate the theoretical value of an option contract. Its initial authors were two professors at the University of Chicago—华南永昌配资_在线配资炒股:Fischer Black and Myron Scholes—with the initial model later generalized by Robert Merton to include securities that pay dividends. In 1997, Scholes and Merton were awarded a Nobel Prize for their work. (Black died in 1995 and thus was ineligible to share in the award.)
Their formula paved the way for the exchange-traded options we have today by standardizing the five option inputs. (Six, if you count dividend yield—the original Black-Scholes model assumed no dividends during the life of the option, but updated versions took dividends into consideration.)
- The price of the underlying asset (i.e., a stock, ETF, futures contract, or other security).
- The strike price of the option.
- The time until the option’s expiration.
- The current risk-free interest rate.
- The expected dividend yield (if applicable).
- Volatility (i.e., the expected daily price variability) of the underlying.
Rates of change: Introducing “the greeks”Every trading day, the market—and each individual stock, commodity, and other security—fluctuates. Options based on these securities are also in constant flux. Because each option—call/put, strike price, and expiration date—has a unique set of risk inputs (see the list above), each option moves differently as one or more of the inputs changes. But there’s good news: Option valuation models such as Black-Scholes can tell you (theoretically, of course) how an option’s price should move given a change in any of these input variables. How? By calculating “before-and-after” snapshots of a variable while holding all the others constant. For example, suppose XYZ is trading for $50 per share, and you own an XYZ 50-strike call option that expires in 60 days. The call is currently worth $0.72. Want to see what the passage of time will do to the price? Run the model with 60 days until expiration and again with 59 days left. Want to see what a $1 rise in the price of XYZ will do to the price of the call? Run the model with XYZ at $50 and again with XYZ at $51. And so on.
Options traders follow the rates of change of four main variables (plus one more, but it doesn’t really change much throughout the life of most options). They’re referred to collectively as “greeks,” although you may notice that one of them is not a letter of the Greek alphabet:
- Delta. Delta measures the change in an option’s price for a $1 move in the underlying. So if a call option has a delta of 0.50, if XYZ moves up $1, the call price should rise by $0.50. If XYZ were to fall by $0.80, the call price should fall by $0.40.
- Gamma. This quantifies the rate of change of delta. Some traders call it the gas pedal of delta. Why? Delta is not a constant—it ranges from zero (for a far out-of-the-money option) to 1.00 for a deep in-the-money option. So if XYZ begins to rise and continues rising, its delta will climb from 0.50, to 0.60, to 0.70, and maybe higher. That’s the power of gamma.
- Theta. Also called “time decay,” theta measures the dollar change in an option’s price based on the passage of time. If you own an option today worth $0.72, and it has a theta of 0.04, all else equal, when you wake up in the morning it will be worth $0.68.
- Vega. Vega measures the change in an option’s price based on a 1% move up or down in the implied volatility of the underlying. So if the option in the example above has a vega of 0.06, and the implied volatility moves from, say, 22% to 20.5% (i.e., down by 1.5%), the option’s theoretical value would move down by $0.09.
- Rho. Rho reflects changes in interest rates, specifically the “risk-free” interest rate, typically a 华南永昌配资_在线配资炒股:Treasury bill with a maturity date that aligns with the option’s expiration date. Why? The premium paid for an option requires a cash outlay, which means that money is tied up (i.e., unable to earn interest). Unless you’re buying or selling a long-term option that expires many months or even years from now—and most of the trading volume in the options market is in expiration dates of two months or less—rho isn’t a closely monitored risk component.
The bottom lineAs you can see, with option prices, there’s a lot going on under the hood. But once you get a little experience, you’ll get a feel for how option prices—as measured by the five greeks—change throughout the life of an option. The greeks can also help you determine the best time to set trade entry and exit points. Again—that best time might not be option expiration day.
One final note on the greeks: They’re a reflection of the theoretical value of an option given the value (and changes in the value) of the variables. In the real world, options don’t always behave as predicted—there are simply too many moving parts.For example, an option with a 0.50 delta might rise only $0.44 if a $1 rise in XYZ is concurrent with a drop in volatility. If the market is awaiting an earnings report or some other news announcement, an option with a theta of 0.04 might not decay one cent until after the news release. Use the greeks as a guide, but not a guaranteed predictor.