The vanna-volga method for implied volatilities

The vanna-volga method is a popular approach for constructing implied-volatility curves in the options market. In this article, Antonio Castagna and Fabio Mercurio give it both theoretical and practical support by showing its tractability and robustness

The vanna-volga (VV) method is an empirical procedure that can be used to infer an implied-volatility smile from three available quotes for a given maturity.1 It is based on the construction of locally replicating portfolios whose associated hedging costs are added to corresponding Black-Scholes (BS) prices to produce smile-consistent values. Besides being intuitive and easy to implement, this procedure has a clear financial interpretation, which further supports its use in practice.

The VV method is commonly used in foreign-exchange options markets, where three main volatility quotes are typically available for a given market maturity: the delta-neutral straddle, referred to as at-the-money (ATM); the risk reversal for 25D call and put; and the (vega-weighted) butterfly with 25D wings.2 The application of VV allows us to derive implied volatilities for any option's delta, in particular for those outside the basic range set by the 25D put and call quotes.

Click Here To View PDF

Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.

To access these options, along with all other subscription benefits, please contact info@risk.net or view our subscription options here: http://subscriptions.risk.net/subscribe

You are currently unable to copy this content. Please contact info@risk.net to find out more.

What gold's rise means for rates, equities

It has been several years since we have seen volatility in gold. An increase in gold volatility can typically be associated with a change in sentiment and investor behavior. The precious metal has surged this year on increased demand for safe haven…

Most read articles loading...

You need to sign in to use this feature. If you don’t have a Risk.net account, please register for a trial.

Sign in
You are currently on corporate access.

To use this feature you will need an individual account. If you have one already please sign in.

Sign in.

Alternatively you can request an individual account here