Romain Bompis

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This paper consists in introducing an option price expansion for model combining local and stochastic volatility with tight error estimates. The local volatility part is considered as general but has to satisfy some growth and boundedness assumptions. For the stochastic part, we choose a square root process, which is usually used for modelling the behaviour(More)
We derive an analytical weak approximation of a multidimensional diffusion process as coefficients or time are small. Our methodology combines the use of Gaussian proxys to approximate the law of the diffusion and a Finite Element interpolation of the terminal function applied to the diffusion. We call this method Stochastic Approximation Finite Element(More)
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