Implied Volatility
The market's estimate of how much a share will move, read backwards out of option prices: how it's found, how to turn it into an expected range, why it rises before news and falls after, what the VIX measures, and how it has compared with what actually happened.
The short version
Historical volatility describes how much a share has moved. Implied volatility is the figure that makes a pricing model match an option's market price, so it's the market's forecast of movement, stated as a yearly percentage. It can be converted into an expected range for any period, and it works as the options market's price level: high implied volatility means expensive options. It rises ahead of uncertain events and drops once they pass, which can sink an option even when the share moves the right way. The VIX is the same idea applied to the whole US stock market, and over the last ten years it has usually been higher than the volatility that followed.
By the end of this lesson, you'll be able to
- Distinguish historical from implied volatility and explain how implied volatility is derived from an option's price
- Convert an implied volatility into an expected range of prices over a given period
- Explain how changes in implied volatility affect option buyers and sellers, including around scheduled events
Why this matters
Strike, Expiration, and Premium listed the things that move an option's price, and all but one can be looked up: the share price, the strike, the date, the interest rate, the dividend. The exception is how much the share is going to move, which nobody knows. Whatever the market collectively guesses is built into every premium, and it can be read back out. That number, implied volatility, is the closest thing the options market has to a price tag. Someone who buys an option without looking at it is buying something without asking what it costs.
Two kinds of volatility
Volatility is a measure of how widely a share's price fluctuates, and it comes in two kinds.1
- Historical volatility. How much a share's price has actually fluctuated over a past period, usually stated as the annualized standard deviation of its daily changes. Glossary, also called statistical volatility, measures actual price changes over a past period. It's usually stated as the annualized standard deviation of the share's daily price changes, the measure from Distributions, Standard Deviation, and Fat Tails.
- Implied volatility. The volatility that makes a pricing model's value for an option equal its market price. It's the market's estimate, built into the premium, of how much the share will move. Glossary is a measure of how much the marketplace expects the price to move, based on the price of the option. It's the volatility the market implies.
One looks back and can be calculated from a price history. The other looks forward and can only be inferred. Implied volatility has no direct connection to past volatility. It's a measure of predicted future movement, and the market is the final judge of its level.2
Reading it out of a price
A pricing model such as Black-Scholes takes five inputs: the share price, the strike, the time to expiration, the interest rate, and the volatility.1 Four are known. If the option's market price is known too, the model can be run backwards to find the one volatility that produces that price.
| Volatility put into the model | Call's value |
|---|---|
| 20% | $2.25 |
| 30% | $3.25 |
| 37% | $3.90 |
| 50% | $5.20 |
| 70% | $7.15 |
If the call is trading at $3.90, its implied volatility is 37%. If the same call were trading at $5.20, with the share still at $50, its implied volatility would be 50%. Nothing about STU's price would differ. Only the price of the option would.
This turns implied volatility into a common yardstick. Premiums can't be compared directly across shares, strikes, or dates: $3.90 on a $50 share for three months and $11 on a $300 share for six weeks say nothing side by side. Their implied volatilities can be compared, because each is the same quantity, a yearly percentage. It also means implied volatility moves whenever option prices are pushed around. Increased demand and higher premiums mean higher implied volatility, with no change in the share.2
From a percentage to a range
An implied volatility is an annualized standard deviation. To apply it to a shorter period, multiply by the square root of the fraction of a year.
Expected move over a period ≈ Implied volatility × √(Fraction of a year)
| Period | Sum | One standard deviation | Range around $50 |
|---|---|---|---|
| One trading day | 37% ÷ √252 | 2.3% | $48.83 to $51.17 |
| One month | 37% × √(1 ÷ 12) | 10.7% | $44.65 to $55.35 |
| Three months | 37% × √(1 ÷ 4) | 18.5% | $40.75 to $59.25 |
If price changes followed a normal distribution, the share would finish inside a one-standard-deviation range about two times in three. Real share prices have fatter tails than that, so large moves come more often than the arithmetic suggests.
The table makes the option chain from earlier lessons readable in a new way. The $55 call needs STU to rise 10% within three months just to reach its strike. At an implied volatility of 37%, that's a move of about half a standard deviation, well within the ordinary range, which is why the call costs $2.00 and not ten cents.
There's a quicker reading too. The at-the-money call and put together, $3.90 + $3.40 = $7.30, cost 14.6% of the share price. That's roughly the size of move, in either direction, that the market is charging for over the three months. A buyer of both needs STU to move more than that to come out ahead.
The rest of this lesson is for members
Still to come in this lesson: Implied volatility is the price, Why it rises before news and falls after, The VIX, How good a forecast is it?, What implied volatility doesn't tell you, the key takeaways, and 2 quiz questions with explanations.
Membership opens every lesson in the curriculum, the capstone projects, the interactive tools, and the members-only channels in the Hyperion Entities Discord. The first lesson of every module stays free.
Go deeper
- The GreeksDerivatives (depth track)
- Distributions, Standard Deviation, and Fat TailsMath and Statistics for Investors (depth track)
- The Major Risks of OptionsDerivatives (depth track)
- Strike, Expiration, and PremiumDerivatives (depth track)
Notes and sources
- The Options Industry Council (OCC). Volatility & the Greeks. Checked 2026-10-13. Back to text
- The Options Industry Council (OCC). Understanding Options Greeks, with its pages on Delta, Gamma, Theta, Vega, and Rho. Checked 2026-10-13. Back to text
- The Options Clearing Corporation. Characteristics and Risks of Standardized Options. Checked 2026-10-13.
- Federal Reserve Bank of St. Louis (FRED), from the Chicago Board Options Exchange. CBOE Volatility Index: VIX (VIXCLS), daily close. Checked 2026-10-13.
- Federal Reserve Bank of St. Louis (FRED), from S&P Dow Jones Indices. S&P 500 (SP500), daily close, most recent ten years. Checked 2026-10-13.