A New Class of Local Correlation Models

36 Pages Posted: 22 Jun 2013

Date Written: June 21, 2013

Abstract

Allowing correlation to be local, i.e., state-dependent, in multi-asset models allows better hedging by incorporating correlation moves in the delta. When options on a basket, be it a stock index, a cross FX rate, or an interest rate spread, are liquidly traded, one may calibrate a local correlation to these option prices. In this article we introduce a new family of local correlation models from which one can pick a model that not only calibrates to the basket smile but also has extra desirable properties, like fitting a view on correlation skew, mimicking historical correlation, or matching prices of exotic options. The family is built using the particle method and the procedure is easily adapted to calibrate path-dependent volatility models, path-dependent correlation models, and to include stochastic rates, stochastic dividend yield, and stochastic volatility.

Keywords: local correlation, path-dependent volatility, path-dependent correlation, calibration, particle method, local stochastic volatility, stochastic interest rates, stochastic dividend yield

JEL Classification: G13

Suggested Citation

Guyon, Julien, A New Class of Local Correlation Models (June 21, 2013). Available at SSRN: https://ssrn.com/abstract=2283419 or http://dx.doi.org/10.2139/ssrn.2283419

Julien Guyon (Contact Author)

Ecole des Ponts ParisTech ( email )

Paris
France

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