Existing studies on interest rate forecasting either treat yields as being stationary around a fixed mean or as a random walk process. In this study we consider forecasting the term structure of interest rates with the assumption that the yield curve is driven by factors that are stationary...

We present an accurate and efficient method for Bayesian forecasting of two financial risk measures, Value-at-Risk and Expected Shortfall, for a given volatility model. We obtain precise forecasts of the tail of the distribution of returns not only for the 10-days-ahead horizon required by the...

We assess the stability of the unemployment gap parameter using linear dynamic Phillips curve models for the United States. In this study, we allow the unemployment gap parameter to be time-varying such that we can monitor the importance of the Phillips curve over time. We consider different...