Loose financial conditions forecast high output growth and low output volatility up to six quarters into the future, generating time-varying downside risk to the output gap, which we measure by GDP-at-Risk (GaR). This finding is robust across countries, conditioning variables, and time periods....

The papers in this special issue of Mathematics and Computers in Simulation cover the following topics: improving judgmental adjustment of model-based forecasts, whether forecast updates are progressive, on a constrained mixture vector autoregressive model, whether all estimators are born equal:...

This paper investigates several empirical issues regarding quasimaximum likelihood estimation of Smooth Transition Autoregressive (STAR) models with GARCH errors, specifically STAR-GARCH and STAR-STGARCH. Convergence, the choice of different algorithms for maximising the likelihood function, and...

Nonlinear time series models, especially those with regime-switching and/or conditionally heteroskedastic errors, have become increasingly popular in the economics and finance literature. However, much of the research has concentrated on the empirical applications of various models, with little...

Nonlinear time series models, especially those with regime-switching and GARCH errors, have become increasingly popular in the economics and finance literature. However, much of the research has concentrated on the empirical applications of various models, with little theoretical or statistical...

We conduct an empirical investigation of the determinants of the Swiss franc real exchange rate. Theory and related empirical papers suggest various specific factors as potential determinants. We select some of these factors, and test their significance and magnitude in affecting the course of...