A General Asymptotic Implied Volatility for Stochastic Volatility Models

By Pierre Henry-Labordère. 2005

136 citations recorded by the source corpus.

In this paper, we derive a general asymptotic implied volatility at the first-order for any stochastic volatility model using the heat kernel expansion on a Riemann manifold endowed with an Abelian connection. This formula is particularly useful for the calibration procedure. As an application, we obtain an asymptotic smile for a SABR model with a mean-reversion term, called lambda-SABR, corresponding in our geometric framework to the Poincare hyperbolic plane. When the lambda-SABR model degenerates into the SABR-model, we show that our asymptotic implied volatility is a better approximation than the classical Hagan-al expression. Furthermore, in order to show the strength of this geometric framework, we give an exact solution of the SABR model with beta=0 or 1. In a next paper, we will show how our method can be applied in other contexts such as the derivation of an asymptotic implied volatility for a Libor market model with a stochastic volatility.

Subfields: Finance, Mathematical Physics

View Paper: https://www.semanticscholar.org/paper/0a673637a8104695f3d522d7caca7aa1e7663222

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In Finance

  1. Jean-Pierre Fouque 3
  2. Rohini Kumar
  3. Jin Feng
  4. Martin Hairer
  5. Michael Röckner
  6. Zdzisław Brzeźniak
  7. Andrew M. Stuart
  8. Daniel Lacker

In Mathematical Physics

  1. Jean-Pierre Fouque 3
  2. Rohini Kumar
  3. Jin Feng
  4. Wei Liu

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