: 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...

Business surveys are an important element in the analysis of the short-term economic situation because of the timeliness and nature of the information they convey. Especially, surveys are often involved in econometric models in order to provide an early assessment of the current state of the...