Statistical Modeling of Diffusion Processes with Financial Applications
This thesis consists of five papers (Paper A-E) on statistical modeling of diffusion processes. Two papers (Paper A & D) consider Maximum Likelihood estimators for non-linear diffusion processes. An offline Maximum Likelihood estimator is derived in Paper A, and it is shown that this estimator is computationally more efficient than other Maximum Likelihood estimators. The offline algorithm is