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The volatility index and what it measures

A volatility index reports the size of the movement that the options market is currently pricing into a large equity benchmark over the coming month, annualised and expressed in percentage points, with no statement whatsoever about direction.

Reviewed

What it is computed from 

A volatility index is not calculated from share prices. It is calculated from option prices. The published methodology takes the prices at which options on a large equity benchmark are currently trading across a wide range of strike prices, and solves backwards for the amount of movement those prices imply over a horizon of roughly one month. The result is expressed in annualised percentage points and republished continuously through the trading day.

Key term

Implied volatility
Implied volatility is the volatility figure that, fed into an option pricing model, returns the option's traded price, so it states what the market is charging today for movement that has not happened yet.

Two words in that description carry most of the meaning. Implied means the number is extracted from what the market is paying rather than measured from what has happened: it is a price, restated in different units. Forward looking means the horizon is ahead rather than behind, which distinguishes it entirely from realised or historical volatility, a backward looking statistic computed from actual past movements. The two are frequently plotted on the same chart and they are answering different questions.

Key term

Historical volatility
A measure of how much a price actually moved over a past window, calculated as the standard deviation of its returns and usually restated as an annual percentage.

The Volatility Index instrument sits in the indices class in the ledger because it is quoted as an index level, not because it measures a basket of shares. Nothing in it is an equity. It is a summary of the option market's pricing, and the equity benchmark enters only as the thing those options are written on.

How to read the units 

The level is an annualised standard deviation expressed in percentage points. Two conversions turn it into something interpretable. Dividing by the square root of the number of months in a year restates it as a monthly figure; dividing by the square root of the number of trading days in a year restates it as a daily one. The square root appears because variance accumulates with time while standard deviation accumulates with the square root of time, which is a property of the arithmetic rather than an assumption about markets.

Worked example. Illustrative figures, not YAL prices or terms.

An annualised level restated over shorter horizons

Published level, annualised percentage points
20.0
Square root of the months in a year
√12 = 3.464
Implied movement over one month
20.0 ÷ 3.464 = 5.77%
Square root of the trading days in a year
√252 = 15.875
Implied movement over one day
20.0 ÷ 15.875 = 1.26%

An illustrative level, used to show the conversion. This is not a YAL figure, not a forecast and not a rate offered anywhere. The result is a one standard deviation figure under the conventions of the pricing model, which means the market is pricing movements larger than this as ordinary rather than as unlikely, and it is a statement about the size of movement in either direction, not about which direction.

The last point in that note is the one most often lost. A standard deviation describes dispersion. A level of any size implies movement of that magnitude upward and downward with equal weight, and the index contains no information about which of the two the market expects. A volatility index cannot be bullish or bearish, because the quantity it measures has no sign.

Key term

Volatility
Volatility measures how widely a price has moved around its own average over a period, counting moves in both directions equally and saying nothing about which way the next one goes.

Why it rises when equities fall 

If the measure is directionless, its well documented tendency to rise sharply on days when equity indices fall requires an explanation, and there is a structural one. Equity markets fall faster than they rise: declines are more compressed in time and larger in daily magnitude than advances of the same total size. Option prices reflect that asymmetry, and the demand for protection against declines is persistently greater than the demand for exposure to advances, so option prices rise most when a decline is under way or is feared. The volatility measure extracted from those prices rises with them.

Key term

Risk-on risk-off
Risk-on risk-off names a market regime in which unrelated assets move as two blocs according to a single swing in appetite for uncertainty, rather than on the fundamentals particular to each of them.

The relationship is therefore a strong empirical regularity produced by an identifiable mechanism, and not an identity. It has failed in both directions on many occasions: equity indices have declined with the volatility measure barely moving, in slow orderly markets, and the measure has risen while equity indices rose, when protection was being bought ahead of a scheduled event. Describing it as an inverse index of the equity market overstates a relationship that is real, variable and conditional.

Mean reversion, and the term structure 

Volatility behaves differently from a price. A share price has no level it is obliged to return to, but volatility is bounded below by zero and cannot remain extreme indefinitely, because extreme conditions resolve one way or another. Empirically the measure clusters: calm periods follow calm periods, turbulent periods follow turbulent ones, and extreme readings decay back toward a long run average over weeks. This is one of the most robust findings in the study of financial time series, and it holds across markets and across decades.

Key term

Mean reversion
Mean reversion is the proposition that a series tends to return towards a central value after moving away from it, a property some series show and others do not.

That expectation of decay is itself priced. Listed futures on the volatility measure exist for a series of forward dates, and in calm conditions the further dated contracts are priced above the spot level, because the market attaches some probability to turbulence arriving before they expire while the present is quiet. When the spot level is extreme, the ordering inverts: the further dated contracts are priced below spot, because the market expects the present turbulence to subside. The upward sloping arrangement is the more common of the two.

Key term

Contango
Contango describes a futures curve in which later delivery months cost more than nearer ones, a shape normally explained by the storage, insurance and financing of holding the physical asset.

Why a tradable contract does not track the published level 

This is the single most consequential fact about the instrument, and it follows from the previous section rather than from anything about brokers. The published spot volatility level is a calculation, not a portfolio. There is no basket of anything that can be held to reproduce it, because it is derived from a continuously changing set of option prices at a fixed forward horizon. Every tradable instrument referencing it therefore references futures contracts rather than the spot calculation.

Key term

Futures contract
A standardised, exchange traded agreement to buy or sell a set quantity of an asset on a stated date, margined daily and cleared through a house that stands between both sides.

A futures contract expires, so a position that is to be maintained beyond that date has to be moved into the following contract. Where the further dated contract is priced above the one expiring, that move happens at a higher price, and it recurs on every roll. The cumulative effect over an extended period is a persistent divergence between a rolled futures position and the published spot level, in the direction dictated by the shape of the term structure. It is a mechanical consequence of the roll and not a fee, not a spread and not a broker charge.

Key term

Rollover
Rollover carries a position past a date it would otherwise settle on: nightly, by moving a spot position's value date forward and applying a financing adjustment, or at expiry, by replacing an expiring contract with the next delivery month.
Worked example. Illustrative figures, not YAL prices or terms.

Two rolls in an upward sloping term structure

Published spot level, unchanged throughout
18.0
Front contract price at the first roll
18.5
Next contract price at the first roll
20.0
Difference paid to move the position
1.5
Front contract price at the second roll
18.5
Next contract price at the second roll
20.0
Difference paid to move the position again
1.5
Cumulative divergence from the unchanged spot level
3.0

Illustrative prices chosen so the mechanism is visible in one reading. These are not YAL contract terms and not prices offered anywhere. The spot level does not move at all across the period and the rolled position still diverges from it, because each roll is transacted at the difference between two contracts rather than at the spot calculation. The rows ignore every other price movement, and spread, commission and financing are excluded.

The direction of this divergence follows the shape of the term structure, which inverts during turbulent periods, so the effect is not constant and does not always run the same way. Whether a specific instrument references spot, a single futures contract or a maintained futures position, and how any roll is handled, is stated in that instrument's own contract specification.

A volatility instrument is a leveraged derivative like any other in the class. Its settlement arithmetic runs on the full contract value while only a margin percentage is posted against it, so an adverse movement is not bounded by the margin. The distribution of movements in a volatility measure is also markedly more skewed than that of an equity index: long stretches of small changes are punctuated by very large ones, which means the size of a typical day is a poor guide to the size of an unusual one.

Trading CFDs and leveraged products involves a significant risk of loss and is not suitable for all investors. You could lose more than your initial investment. Ensure you fully understand the risks and seek independent advice if necessary.

In summary 

  • A volatility index is computed from option prices, not share prices, and reports the movement the options market is pricing into a large equity benchmark over roughly the coming month, annualised in percentage points.
  • The level is a standard deviation and therefore has no sign. Dividing by the square root of the periods in a year restates it over a shorter horizon.
  • Its tendency to rise when equity indices fall comes from the asymmetry of equity declines and from persistent demand for downside protection. The relationship is a strong regularity with identifiable causes, not an identity, and it has failed in both directions.
  • No portfolio reproduces the published spot level, so tradable instruments reference futures. In an upward sloping term structure each roll is transacted at a higher price, which produces a persistent divergence from spot that is mechanical rather than a charge.

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