σ · The Wikipedia of Volatility

Volatility, explained the way it behaves

Implied, historical and realised volatility. The smile, the skew and the surface. The term structure, India VIX, and the regimes that decide what any of it means. Every diagram on this site is computed by our own pricing engine — the same engine the calculators run on, so a tool here can never disagree with a page here.

68concepts, answer-first
73original computed diagrams
10client-side calculators
0trade calls, ever

What is volatility?

The one-sentence answer, and the picture that makes it stick.

Quick answer: Volatility measures how much an asset's price moves, expressed as the annualised standard deviation of its returns. It describes the journey, not the destination — two assets can start and finish at exactly the same price while one of them was far more volatile along the way. Volatility says nothing whatsoever about direction.

Same start. Same finish. Utterly different experience.

Two illustrative NIFTY paths over 120 trading days, forced to end at the same level.

22,00024,00026,00028,00030,0000d30d60d90d120dsame startsame destinationTrading daysNIFTY level≈9% annualised volatility≈30% annualised volatility
Return measures the destination; volatility measures the journey. An investor in the second path took several times the risk for exactly the same result — and would have been stopped out, margin-called, or simply frightened out, long before the destination arrived.

That is the whole idea. Everything else on this site — implied volatility, the skew, the term structure, India VIX — is a refinement of the question how do we measure the journey, and what is it worth?

Why volatility matters

Three reasons, and the third is the one that justifies a whole website.

It is most of an option's price

An out-of-the-money option has no intrinsic value at all. Its entire premium is a bet on volatility. Buying one is a volatility trade wearing directional clothing — which is the most common way to be right about direction and still lose money.

It determines how much you can hold

A position sized correctly for a 10% volatility market carries roughly three times its intended risk at 26%. Volatility does not politely announce the change: it goes up by the escalator and down by the stairs.

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It is the one thing that is forecastable

Large moves follow large moves, of either sign. Small follow small. Volatility clusters and it mean-reverts. Direction does neither. That single asymmetry is why a volatility forecast is a reasonable thing to attempt and a price forecast usually is not.

The volatility dashboard

Three readings, three different questions. Change them and watch the regime change.

Volatility regime dashboard

Runs entirely in your browser. The level asks how much movement is priced; the slope asks whether the market thinks that level is temporary; the premium asks whether options cost more than the underlying has been delivering.

The five bands — complacent, normal, elevated, stressed, crisis — are conventions calibrated to NIFTY, not laws. Everything here is a description of where the market has been. Regimes are named after the fact: nobody can reliably say what regime they are in today, because the defining feature of a regime change is that it has not been confirmed yet. Read the full page →

Three routes through the library

Pick the one that matches where you are, not where you would like to be.

Beginner

You have heard "IV crush" and want to know what actually happens

  1. What is Volatility? — the journey, not the destination
  2. Standard Deviation — the maths under the whole subject
  3. Implied Volatility — a price, not a forecast
  4. Expected Move — turning IV into a range
  5. IV Crush — why being right about direction is not enough
  6. India VIX — one number for the whole chain
  7. The IV cheat sheet — it on one screen
Intermediate

You trade options and want the shapes to stop being decoration

  1. HV vs IV — the comparison almost everyone gets wrong
  2. IV Rank and IV Percentile — and why they disagree
  3. Volatility Skew — the most important page on this site
  4. Term Structure, Contango, Backwardation
  5. IV and Vega — why √T decides which option you want
  6. IV Around Events — the Indian event calendar
  7. Volatility Risk Premium — small, positive, dangerous
Professional

You manage a book and need the model's failure modes, not its features

  1. Volatility Surface — and why no model fits and hedges it at once
  2. Sticky Strike vs Sticky Delta — is your hedge a hedge?
  3. Forward Volatility — variance adds, volatility does not
  4. Gamma Scalping and Delta Hedging
  5. Volatility Arbitrage — the word is doing dishonest work
  6. Dispersion Trading — short correlation, and correlation goes to one
  7. Crisis Volatility — where every assumption fails together

The three shapes to recognise on sight

If you take nothing else from this site, take these.

1. The skew — implied volatility across strikes

One NIFTY expiry, spot 24,000. The flat grey line is what Black–Scholes assumes.

10%12%14%16%18%20%22%22,00023,00024,00025,00026,000spot 24,00025-delta put ≈ 14.5%25-delta call ≈ 11.4%the skew is the gap between the wings: 3.1% hereStrikeImplied volatilitywhat Black–Scholes assumes (flat)what a NIFTY chain actually prints
Downside protection costs systematically more than upside participation, because index crashes are faster and more correlated than index rallies. Read the full page: Volatility Skew.

2. The term structure — implied volatility across expiries

The same underlying, in a calm market and a stressed one.

10%15%20%25%30%7d30d60d90d120d180dCONTANGO — calm, upward slopingBACKWARDATION — stressed, downward slopingthe front expiry is where the two regimes disagree mostDays to expiryImplied volatilityContango (calm market)Backwardation (stressed market)
The slope of this curve is the single most informative number a volatility trader looks at — and it is completely invisible if you only read the headline India VIX. Read: Term Structure.

3. IV crush — implied volatility through an event

Twenty sessions before a scheduled event, to fourteen after.

10%15%20%-20d-15d-10d-5devent+5d+10dthe event (e.g. an earnings release)peak 20.5%crush to 11.6%the build-up is gradual and convex……the collapse is a single printTrading days relative to the eventAt-the-money implied volatility
The build-up is gradual and convex. The collapse is a single print. This is not a market inefficiency: it is the option correctly ceasing to charge for a risk that no longer exists. Read: IV Crush.

The eight sections

Sixty-eight concepts, each with a one-sentence answer, the formula with every symbol defined, an original computed diagram, worked NIFTY examples, its limitations, and at least twenty FAQs.

Core Volatility

8

Volatility is one word doing eight different jobs. Historical, realised, implied, expected, forward, annualised and intraday — and why they disagree on the same afternoon.

Start here

Implied Volatility

11

How IV is solved for, why it changes, expansion and crush, event and earnings volatility, and the smile, skew and surface it forms across strikes and expiries.

The core section

Volatility Metrics

8

IV Rank, IV Percentile, HV vs IV, the volatility risk premium, expected move, standard deviation, variance and realised variance — each defined, computed and criticised.

Compared with what?

Term Structure

8

Volatility has a shape in time. Contango, backwardation, the calendar and expiry structure, the volatility cone, event premium and rolling volatility.

The slope

Volatility Indices

8

India VIX and CBOE VIX, how they are constructed, VVIX, VIX futures and options, the VIX term structure — and why the "fear index" label misleads.

India VIX

Volatility Strategies

9

Long and short volatility, long and short vega, gamma scalping, delta hedging, volatility arbitrage, dispersion and calendars — concepts and their real failure modes.

Risks, not recipes

Volatility & Options

9

How IV drives premium, theta and vega; how it behaves before and after expiry; and what it actually does around RBI policy, the Union Budget and election results.

The event calendar

Market Regimes

7

Low and high volatility, trending and range-bound markets, crisis volatility, mean reversion and clustering. Volatility is not a number; it is a state.

Named after the fact

Featured concepts

The pages that most often change how people think.

Reference & tools

For when you already understand the concept and just need the number.

What this site will never tell you

No trade calls. No win rates. No backtests. Ever. We will never say that implied volatility is high and therefore options should be sold. We publish no performance claims, because short-volatility strategies produce long sequences of small gains that look exactly like skill and are in fact an insurance premium being collected until the claim arrives — and a win rate is precisely the statistic that conceals this. Volatility analysis tells you what the market is charging for uncertainty. It does not tell you whether that price is wrong, and it never tells you what to do about it.

Every page states its assumptions and the exact conditions under which the concept stops being true, because a measure you cannot criticise is a measure you cannot use. Read our Methodology for the model and its limits, and our Editorial Policy for the standards this site holds itself to.

Educational content only — not investment advice. VolatilityGyan is an educational platform and is not a SEBI-registered investment adviser, research analyst or stock broker. Every diagram on this site is generated from illustrative model data, not from live or historical market quotes. Options and futures carry substantial risk, and short-volatility positions carry theoretically unlimited loss — they can lose more than you deposit. SEBI's published studies of the equity derivatives segment have found that a large majority of individual traders lose money. Read that as the prior against which any idea on this site should be evaluated. See our Risk Disclosure and SEBI Disclaimer.