This paper compares the forecasting performance of different models which have been proposed for forecasting in the presence of structural breaks. These models differ in their treatment of the break process, the parameters defining the model which applies in each regime and the out-of-sample...

This paper builds on a simple unified representation of shrinkage Bayes estimators based on hierarchical Normal-Gamma priors. Various popular penalized least squares estimators for shrinkage and selection in regression models can be recovered using this single hierarchical Bayes formulation....

To match the stylized facts of high frequency financial time series precisely andparsimoniously, this paper presents a finite mixture of conditional exponential powerdistributions where each component exhibits asymmetric conditional heteroskedasticity. Weprovide stationarity conditions and...