Smart Expansion and Fast Calibration for Jump Diffusion
نویسندگان
چکیده
منابع مشابه
Smart expansion and fast calibration for jump diffusion
Using Malliavin calculus techniques, we derive an analytical formula for the price of European options, for any model including local volatility and Poisson jump process. We show that the accuracy of the formula depends on the smoothness of the payoff function. Our approach relies on an asymptotic expansion related to small diffusion and small jump frequency/size. Our formula has excellent accu...
متن کاملSmart expansion and fast calibration for jump diffusions
Using Malliavin calculus techniques, we derive an analytical formula for the price of European options, for any model including local volatility and Poisson jump process. We show that the accuracy of the formula depends on the smoothness of the payoff function. Our approach relies on an asymptotic expansion related to small diffusion and small jump frequency/size. Our formula has excellent accu...
متن کاملA jump-diffusion Libor model and its robust calibration
In this paper we propose a jump-diffusion Libor model with jumps in a high-dimensional space (Rm) and test a stable non-parametric calibration algorithm which takes into account a given local covariance structure. The algorithm returns smooth and simply structured Lévy densities, and penalizes the deviation from the Libor market model. In practice, the procedure is FFT based, thus fast, easy to...
متن کاملOn the calibration of local jump-diffusion market models
We show that for the originally ill-posed inverse problem of calibrating a localized jump-diffusion process to given option price data, Tikhonov regularization can be used to get a well-posed optimization problem. Furthermore we prove stability as well as convergence of the regularized parameters using the forward partial integrodifferential equation associated to the European call price. By pr...
متن کاملNon-parametric calibration of jump–diffusion option pricing models
generally, exponential Lévy models to a finite set of observed option prices. We show that the usual formulations of the inverse problem via non-linear least squares are ill-posed and propose a regularization method based on relative entropy: we reformulate our calibration problem into a problem of finding a risk-neutral exponential Lévy model that reproduces the observed option prices and has ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: SSRN Electronic Journal
سال: 2008
ISSN: 1556-5068
DOI: 10.2139/ssrn.1079627