Derivatives and advanced market conceptsModule 3, lesson 13 of 21
Historical and implied volatility
Measuring historical volatility, reading implied volatility from option prices, volatility indices, and why implied volatility often rises when markets fall.
In this lesson
- Calculate historical volatility from a series of daily returns.
- Explain implied volatility as the volatility built into an option's price.
- Estimate a rough one-standard-deviation price range from implied volatility.
- Explain why implied volatility often rises in falling markets and falls after scheduled events.
Builds on
- Moneyness, intrinsic value and time valueVolatility mainly affects the time value explained there.
- Averages, spread and volatilityHistorical volatility is the standard deviation of returns explained there.
On this page
In simple terms
Volatility describes how much a price swings. For options it matters enormously, because an option pays off only if the price moves far enough. The more a price is expected to swing, the more an option is worth.
There are two kinds to keep apart:
- Historical volatility: how much the price has moved.
- Implied volatility: how much the market expects it to move, as implied by option prices.
Historical volatility
Historical volatility is the standard deviation of past returns, as the averages and volatility lesson explains, usually converted to a yearly figure.
Worked example: Ten made-up daily returns
Returns: +1.0%, −1.5%, +2.0%, −0.5%, +1.2%, −2.0%, +0.8%, 0.0%, −1.0%, +1.5%.
| Standard deviation of daily returns | about 1.36% |
|---|---|
| Trading days in a year, approximately | 250 |
| Yearly volatility: 1.36% × √250 | about 21.5% |
Multiplying by the square root of time converts daily volatility to yearly, on the assumption that daily moves are independent.
Implied volatility
Option prices depend on the share price, strike, time to expiry, interest rates and volatility. All but volatility can be observed. So traders work backwards: implied volatility (IV) is the volatility that, put into a pricing model, produces the option's current market price.
IV is therefore a price, expressed as a volatility. High IV means options are expensive; low IV means they are cheap, relative to the expected size of moves.
Reading IV as a range
A rough rule converts IV into an expected range over a period, assuming a typical spread of outcomes:
Move ≈ price × IV × √(days ÷ 365)
| Share at ₹1,000, IV 30%, 30 days: 1,000 × 0.30 × √(30 ÷ 365) | about ₹86 |
|---|---|
| Same share, IV 15% | about ₹43 |
Roughly two times in three, the price might end within that distance of today's price, if the assumption holds. Real price moves have more extreme days than this simple picture suggests, as the volatility and drawdowns lesson explains.
Volatility indices
Exchanges publish volatility indices calculated from index option prices. In India, NSE publishes India VIX. A rising volatility index means index options are becoming more expensive because larger moves are expected. It is a measure of expected movement, not a forecast of direction.
Why IV behaves as it does
- Falling markets: IV usually rises when markets fall, because investors rush to buy protection, such as puts, and sharp falls tend to come with large daily moves.
- Scheduled events: before results, policy decisions or elections, IV often rises because a big move is possible. Afterwards, the uncertainty is resolved and IV often drops sharply, sometimes called a volatility crush. Option buyers can lose money even when the price moves in their favour, as the time decay and vega lesson explains.
- Supply and demand: heavy buying or selling of particular options moves their IV.
Why it matters
Implied volatility explains why option prices change when the share price does not, why options are expensive before events and cheap afterwards, and why direction alone does not make an option trade profitable. It is the most important input that beginners overlook.
Limitations
The square-root-of-time rule and pricing models rest on simplifying assumptions that real markets break, especially in crises. IV differs across strikes and expiries, and a single figure is a summary. Volatility indices measure index options, not individual shares.
Common mistakes
- Reading high IV as a signal that prices will rise.
- Buying options before events without allowing for the IV drop afterwards.
- Confusing historical and implied volatility.
- Treating the one-standard-deviation range as a limit.
Try it yourself
- Take ten days of closing prices for a share, calculate daily returns, their standard deviation, and the yearly volatility.
- Find the implied volatility of an at-the-money option on the same share and compare it with your figure.
- Use the rough rule to estimate the share's one-standard-deviation range over 30 days.
Key takeaways
- Historical volatility measures how much a price has actually moved, using the standard deviation of past returns, usually expressed as a yearly figure.
- Implied volatility is the volatility that, put into an option pricing model, gives the current option price. It reflects what the market expects and is willing to pay for.
- Higher implied volatility means higher option premiums, especially time value. It does not say which direction the price will move.
- Implied volatility often rises when markets fall, as demand for protection grows, and often drops sharply after scheduled events such as results.
- A volatility index, such as one published by an exchange, summarises the implied volatility of index options.
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Terms used in this lesson
- Volatility
- How much and how quickly a price moves up and down. Highly volatile shares swing sharply in both directions.
- Implied volatility
- The volatility that, put into an option pricing model, gives an option's current market price. It reflects expected movement.
- Volatility index
- An index calculated from index option prices that measures the market's expected volatility over a coming period.
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This lesson is general education, not investment advice. Examples use made-up or clearly dated figures to explain ideas; they are not recommendations. Read the disclaimer.