Showing 1 - 7 of 7
The multivariate analysis of a panel of economic and financial time series with mixed frequencies is a challenging problem. The standard solution is to analyze the mix of monthly and quarterly time series jointly by means of a multivariate dynamic model with a monthly time index: artificial...
Persistent link: https://www.econbiz.de/10010391543
We introduce a new model for time-varying spatial dependence. The model extends the well-known static spatial lag model. All parameters can be estimated conveniently by maximum likelihood. We establish the theoretical properties of the model and show that the maximum likelihood estimator for the...
Persistent link: https://www.econbiz.de/10010391531
The paper considers the problem as to whether financial returns have a common volatility process in the framework of stochastic volatility models that were suggested by Harvey et al. (1994). We propose a stochastic volatility version of the ARCH test proposed by Engle and Susmel (1993), who...
Persistent link: https://www.econbiz.de/10011441709
The paper considers the problem of volatility co-movement, namely as to whether two financial returns have perfectly correlated common volatility process, in the framework of multivariate stochastic volatility models and proposes a test which checks the volatility co-movement. The proposed test...
Persistent link: https://www.econbiz.de/10011602570
Persistent link: https://www.econbiz.de/10013274289
in its ability to accurately capture clusters and preserve or enhance forecasting accuracy. For a high …
Persistent link: https://www.econbiz.de/10012315409
filtering of time-varying volatility, and volatility forecasting. Specifically, we make use of the indirect inference method to …
Persistent link: https://www.econbiz.de/10014433826