Nonparametric methods for the estimation of the Levy density of a Levy process X are developed. Estimators that can be writtenin terms of the "jumps" of X are introduced, and so are discrete-data based approximations. A model selection approach made up oftwo steps is investigated. The first step...

Model selection methods and nonparametric estimation of Levy densities are presented. The estimation relies on the properties of Levy processes for small time spans, on the nature of the jumps of the process, and on methods of estimation for spatial Poisson processes. Given a linear space S of...

In this paper, we introduce DSPMD, discretely sampled process with pre-specified marginals and pre-specified dependence, and SRLMD, series representation for Levy process with pre-specified marginals and pre-specified dependence. In the DSPMD for Levy processes, some regular copula can be...

In this thesis, stochastic volatility models with Levy processes are treatedin parameter calibration by the Carr-Madan fast Fourier transform (FFT) method and pricingthrough the partial integro-differential equation (PIDE) approach. First, different models where the underlying log stock price or...

Thesis (MSc (Mathematical Sciences))--University of Stellenbosch, 2011.