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1 LPMA - Laboratoire de Probabilités et Modèles Aléatoires

Abstract : We study the effect of parameter uncertainty on a stochastic diffusion model, in particular the impact on the pricing of contingent claims, using methods from the theory of Dirichlet forms. We apply these techniques to hedging procedures in order to compute the sensitivity of SDE trajectories with respect to parameter perturbations. We show that this analysis can justify endogenously the presence of a bid-ask spread on the option prices. We also prove that if the stochastic differential equation admits a closed form representation then the sensitivities have closed form representations. We examine the case of log-normal diffusion and we show that this framework leads to a smiled implied volatility surface coherent with historical data.

Keywords : Uncertainty Stochastic Differential Equations Dynamic Hedging Error Theory using Dirichlet Forms Bid-Ask Spread Value-at-Risk





Author: Simone Scotti -

Source: https://hal.archives-ouvertes.fr/



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