In this paper we examine how the forecasting performance of Bayesian VARs is affected by a number of specification … length and of both; compare alternative approaches to multi-step forecasting (direct, iterated, and pseudo-iterated); discuss … size of the VAR, modeling in levels or growth rates, and the extent of forecast bias induced by shrinkage. We obtain a …

Small or medium-scale VARs are commonly used in applied macroeconomics for forecasting and evaluating the shock … instability in a forecasting context. While none of the methods clearly emerges as best, some techniques turn out to be useful to … improve the forecasting performance. …

We propose a new approach to forecasting the term structure of interest rates, which allows to efficiently extract the … Likelihood of the model. Focusing on the US, we provide an extensive study on the forecasting performance of the proposed model …

In this paper we discuss how the forecasting performance of Bayesian VARs is affected by a number of specification … lag length and of both; compare alternative approaches to h-step ahead forecasting (direct, iterated and pseudo … the size of the VAR, modeling in levels or growth rates, and the extent of forecast bias induced by shrinkage. We obtain a …

Small or medium-scale VARs are commonly used in applied macroeconomics for forecasting and evaluating the shock … forecasting context. While none of the methods clearly emerges as best, some techniques turn out to be useful to improve the … forecasting performance. …

focusing on forecasting inflation and GDP growth in a panel of countries confirms this finding. …

Models based on economic theory have serious problems at forecasting exchange rates better than simple univariate … forecasting. In addition, we adopt a driftless random walk prior, so that cross-dynamics matter for forecasting only if there is …