Understand what the IV column in an option chain actually measures, why it differs across strikes, and how IV crush and volatility skew affect option premiums.
Open the option chain for Nifty and most traders go straight for open interest and the last traded price, skipping right past the IV column sitting quietly in between. That is a costly habit, because implied volatility often explains why an option's premium moved the way it did far better than the Nifty price itself does. Understanding this column properly builds directly on reading the rest of the option chain, since IV is the piece that ties the entire pricing puzzle together.
Implied volatility is not a measure of how much Nifty has actually moved. It is the market's forward-looking estimate of how much Nifty is expected to move going forward, expressed as an annualized percentage, and it is derived by working backward from an option's current market price using a pricing model.
In simple terms, option pricing models take volatility as an input to calculate a theoretical premium. IV flips this process. The market has already decided the premium through actual buying and selling, so IV is the volatility figure that, when plugged back into the model, would produce that exact market price. It is implied by the price, not calculated from historical movement, which is exactly why it is called implied rather than historical volatility.
Historical or realized volatility looks backward, measuring how much Nifty has actually moved over a past period. IV looks forward, reflecting collective market expectation of future movement. The two often diverge sharply. Ahead of a Union Budget announcement or a major central bank decision, IV frequently rises well above recent historical volatility, since the market is pricing in the possibility of a large move even though nothing has happened yet.
If you scan across a full option chain, you will notice IV is rarely identical at every strike. This pattern is called volatility skew. Out-of-the-money put options on Nifty typically carry higher IV than equivalent out-of-the-money call options, largely because institutional investors consistently buy downside puts as portfolio insurance against a market crash, keeping demand and therefore IV elevated on that side of the chain.
This ties directly into the difference between ITM and OTM options, since where a strike sits relative to the current market price directly shapes how its IV behaves relative to neighboring strikes.
India VIX is essentially a weighted average of implied volatility across a basket of near-term Nifty options, expressed as a single index-level number, whereas the IV column on the option chain shows this figure for one specific strike and expiry at a time. Understanding how India VIX itself is calculated makes individual strike-level IV numbers easier to interpret, since a rising India VIX generally lifts IV across the entire chain simultaneously, while a strike-specific IV spike alone might just reflect unusual activity at that one level.
| IV Level | What It Usually Suggests | Common Trader Approach |
|---|---|---|
| Low, below recent average | Market expects limited near-term movement, options relatively cheap | Favours buying options over selling them |
| Rising sharply | Uncertainty building, often ahead of an event | Caution on fresh option buying, premiums getting expensive |
| High, above recent average | Market pricing in a large expected move | Favours option selling or credit strategies |
| Falling sharply after an event | Uncertainty has resolved, IV crush underway | Option buyers often see losses even if direction was correct |
This is one of the most misunderstood outcomes in options trading. IV crush happens when implied volatility collapses sharply right after an event the market was pricing in, such as a results announcement, a Budget, or a major macro data release. Even if Nifty or a stock moves in the exact direction a trader predicted, the option premium can still lose value if IV falls hard enough, since a big chunk of the premium was built on elevated volatility expectations rather than pure price movement.
Say Nifty is trading around 25,000 heading into a big event, and a slightly out-of-the-money call carries an LTP of Rs 180, with IV sitting elevated at 22 percent due to event uncertainty. If Nifty moves up modestly after the event but IV collapses back to 14 percent as uncertainty clears, that same call could easily lose value despite the correct directional call, purely because the volatility component of its price got crushed. This is exactly why traders holding positions across major events or expiry need to think about IV separately from direction, a nuance covered further in holding F&O positions across expiry.
High IV is generally good news for option sellers and bad news for option buyers, and low IV is the reverse. A seller writing options when IV is elevated collects a fatter premium for the same level of risk, while a buyer purchasing options during high IV is effectively overpaying relative to what the option would cost once volatility normalizes. This single dynamic explains why experienced options traders pay close attention to whether current IV sits high or low relative to its own recent range, rather than looking at the absolute number in isolation.
This connects closely with understanding option Greeks more broadly, particularly Vega, which specifically measures how sensitive an option's premium is to a change in IV, covered in our comparison of the option chain and option Greeks.
IV works best combined with the rest of the chain rather than read in isolation. A strike showing both unusually high open interest and elevated IV often reflects a level the market is watching closely for a potential large move, while the same open interest with low IV suggests a more settled, lower-conviction positioning. Pairing this with sentiment tools like Put-Call Ratio and structural theories like max pain gives a fuller picture than any single metric offers alone.
As with every option chain metric, IV provides probability and context, not certainty, and treating it as a guaranteed signal is exactly the trap explored in why most retail traders in India end up losing money in the stock market. Proper position sizing around IV-driven trades matters just as much, covered practically in the 3-5-7 rule for managing risk per trade.
Disclaimer: This article is for educational purposes only and does not constitute investment or trading advice. Implied volatility is a probabilistic measure derived from option pricing and does not guarantee future price behaviour. Options trading carries a high degree of risk and is not suitable for every investor. Please read all related documents carefully and consult a SEBI-registered advisor before trading in the F&O segment.
Implied volatility measures the market's forward-looking expectation of future price movement, derived by working backward from an option's current market price.
This is called volatility skew, where out-of-the-money puts often carry higher IV than equivalent calls due to consistent demand for downside portfolio protection.
IV crush is a sharp fall in implied volatility right after an event the market was pricing in, which can reduce an option's premium even if the direction was correct.
High IV generally makes options more expensive, which favours option sellers, while buyers tend to get better value when IV is relatively low.
India VIX is essentially a weighted average of implied volatility across near-term Nifty options, while the IV column on the chain shows this figure for one specific strike.