: This paper analyzes the dynamics of the US inflation time series using two classes of models: structural change models and long memory processes. For the first class, the Markov Switching Autoregressive (MS-AR) model of Hamilton (1989) and the Structural Change-Autoregressive (SCH-AR) model...

This paper develops a method for pricing bivariate contingent claims under General Autoregressive Conditionally Heteroskedastic (GARCH) process. As the association between the underlying assets may vary over time, the dynamic copula with time-varying parameter offers a better alternative to any...

In a discrete time option pricing framework, we compare the empirical performance of two pricing methodologies, namely the affine stochastic discount factor (SDF) and the empirical martingale correction methodologies. Using a CAC 40 options dataset, the differences are found to be small: the...

Let (Xt), be valued stochastic process defined by a discrete time dynamical system as Xt = [phi](Xt-1, T = 1,2,..., where [phi] is some nonlinear function preserving a probability measure say [mu], we estimate [phi] and the density -f of [mu] without using special condition on the analytical...