Net volatility

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Net volatility refers to the volatility implied by the price of an option spread trade involving two or more options. Essentially, it is the volatility at which the theoretical value of the spread trade matches the price quoted in the market, or, in other words, the implied volatility of the spread.

Volatility (finance) degree of variation of a trading price series over time

In finance, volatility is the degree of variation of a trading price series over time as measured by the standard deviation of logarithmic returns.

In financial mathematics, the implied volatility (IV) of an option contract is that value of the volatility of the underlying instrument which, when input in an option pricing model will return a theoretical value equal to the current market price of the option. A non-option financial instrument that has embedded optionality, such as an interest rate cap, can also have an implied volatility. Implied volatility, a forward-looking and subjective measure, differs from historical volatility because the latter is calculated from known past returns of a security. To understand where Implied Volatility stands in terms of the underlying, implied volatility rank is used to understand its implied volatility from a one year high and low IV.

Contents

Formula

The net volatility for a two-legged spread (with one long leg, and one short) can be estimated, to a first order approximation, by the formula:

where

is the net volatility for the spread
and are the implied volatility and vega for the long leg
and are the implied volatility and vega for the short leg

Example

It is now mid-April 2007, and you are considering going long a Sep07/May07 100 call spread, i.e. buy the Sep 100 call and sell the May 100 call. The Sep 100 call is offered at a 14.1% implied volatility and the May 100 call is bid at an 18.3% implied volatility. The vega of the Sep 100 call is 4.3 and the vega of the May 100 call is 2.3. Using the formula above, the net volatility of the spread is:

Interpretation

In the example above, going short a May 100 call and long a Sep 100 call results in a synthetic forward option - i.e. an option struck at 100 that spans the period from May to September expirations. To see this, consider that the two options essentially offset each other from today until the expiration of the short May option.

Thus, the net volatility calculated above is, in fact, the implied volatility of this synthetic forward option. While it may seem counter-intuitive that one can create a synthetic option whose implied volatility is lower than the implied volatilities of its components, consider that the first implied volatility, 18.1%, corresponds to the period from today to May expiration, while the second implied volatility, 14.3% corresponds to the period from today to September expiration. Therefore, the implied volatility for the period May to September must be less than 14.3% to compensate for the higher implied volatility during the period to May.

In practice, one sees this type of situation often when the short leg is being bid up for a specific reason. For instance, the near option may include an upcoming event, such as an earnings announcement, that will, in all probability, cause the underlier price to move. After the event has passed, the market may expect the underlier to be relatively stable which results in a lower implied volatility for the subsequent period.

See also

In finance, volatility arbitrage is a type of statistical arbitrage that is implemented by trading a delta neutral portfolio of an option and its underlying. The objective is to take advantage of differences between the implied volatility of the option, and a forecast of future realized volatility of the option's underlying. In volatility arbitrage, volatility rather than price is used as the unit of relative measure, i.e. traders attempt to buy volatility when it is low and sell volatility when it is high.

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