Showing 1 - 6 of 6
Stochastic Volatility (SV) models are widely used in financial applications. To decide whether standard parametric restrictions are justified for a given dataset, a statistical test is required. In this paper, we develop such a test based on the linear state space representation. We provide a...
Persistent link: https://www.econbiz.de/10009578026
Persistent link: https://www.econbiz.de/10009578563
In a world with imperfect competition, market externalities or asymmetric information, the impact of money and monetary policy on the real sector depends on the way money is created. Two conflicting views of money supply can be distinguished in the literature: the endogeneity view and the...
Persistent link: https://www.econbiz.de/10009620766
Multivariate Volatility Models belong to the class of nonlinear models for financial data. Here we want to focus on multivariate GARCH models. These models assume that the variance of the innovation distribution follows a time dependent process conditional on information which is generated by...
Persistent link: https://www.econbiz.de/10009615423
A new kind of mixture autoregressive model with GARCH errors is introduced and applied to the U.S. short-term interest rate. According to the diagnostic tests developed in the paper and further informal checks the model is capable of capturing both of the typical characteristics of the...
Persistent link: https://www.econbiz.de/10009612047
The analysis of diffusion processes in financial models is crucially dependent on the form of the drift and diffusion coefficient functions. A methodology is proposed for estimating and testing coefficient functions for ergodic diffusions that are not directly observable. It is based on...
Persistent link: https://www.econbiz.de/10009613611