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Vanna-Volga Methods Applied to FX Derivatives: From Theory to Market Practice


Frederic Bossens


affiliation not provided to SSRN

Gregory Rayee


Université Libre de Bruxelles (ULB)

Nikos S. Skantzos


affiliation not provided to SSRN

Griselda Deelstra


Université Libre de Bruxelles (ULB)

April 27, 2010


Abstract:     
We study Vanna-Volga methods which are used to price first generation exotic options in the Foreign Exchange market. They are based on a rescaling of the correction to the Black-Scholes price through the so-called 'probability of survival' and the 'expected first exit time'. Since the methods rely heavily on the appropriate treatment of market data we also provide a summary of the relevant conventions. We offer a justification of the core technique for the case of vanilla options and show how to adapt it to the pricing of exotic options. Our results are compared to a large collection of indicative market prices and to more sophisticated models. Finally we propose a simple calibration method based on one-touch prices that allows the Vanna-Volga results to be in line with our pool of market data.

Number of Pages in PDF File: 28

Keywords: Vanna-Volga, Foreign Exchange, exotic options, market conventions

JEL Classification: C00

working papers series


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Date posted: April 15, 2009 ; Last revised: April 28, 2010

Suggested Citation

Bossens, Frederic, Rayee, Gregory, Skantzos, Nikos S. and Deelstra, Griselda, Vanna-Volga Methods Applied to FX Derivatives: From Theory to Market Practice (April 27, 2010). Available at SSRN: http://ssrn.com/abstract=1380063 or http://dx.doi.org/10.2139/ssrn.1380063

Contact Information

Frederic Bossens (Contact Author)
affiliation not provided to SSRN ( email )
Gregory Rayee
Université Libre de Bruxelles (ULB) ( email )
CP 132 Av FD Roosevelt 50
Brussels, Brussels 1050
Belgium
Nikos S. Skantzos
affiliation not provided to SSRN ( email )
Griselda Deelstra
Université Libre de Bruxelles (ULB) ( email )
CP 132 Av FD Roosevelt 50
Brussels, Brussels 1050
Belgium
Feedback to SSRN (Beta)


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