In this paper we face the fitting versus forecasting paradox with the objective of realizing an optimal Early Warning System to better describe and predict past and future sovereign defaults. We do this by proposing a new Regression Tree-based model that signals a potential crisis whenever...

Fiscal policy constitutes a key tool for business cycle stabilisation next to monetary policy. In this context, having a well-suited macroeconomic model for analysing fiscal policy at a central bank is of primary importance. This paper documents the fiscal block of the ECB-BASE, which is a...

This paper puts forward a Bayesian version of the global vector autoregressive model (B-GVAR) that accommodates international linkages across countries in a system of vec-tor autoregressions. We compare the predictive performance of B-GVAR models for the one- and four-quarter ahead forecast...

American fiscal policy has been procyclical: Washington wasted the expansion period 2001-2007 by running budget deficits, but by 2011 had come to feel constrained by inherited debt to withdraw fiscal stimulus. Chile has achieved countercyclical fiscal policy – saving in booms and easing in...

We explore the ability of core inflation to predict headline CPI annual inflation for a sample of 8 developing economies in Latin America during the period January 1995-May 2017. Our in-sample and out-of-sample results are roughly consistent in providing evidence of predictability in the great...

The theory suggests that investment activities and monetary policy influence the development of the global business cycle. The oil price and other raw material prices also play a key role in the economic development and there is a co-movement among oil consumption and global output. Therefore,...

Das Papier untersucht die Rolle von Frühindikatoren bei der Erstellung von Konjunkturprognosen. Gegenstand der Analyse sind die Fragen: Welche Kriterien sollten Frühindikatoren generell erfüllen bzw. was sollten Frühindikatoren leisten? Inwieweit erfüllen die gängigen Indikatoren diese...

This paper systematically studies the use of mixed-frequency data sets and suggests that the use of high frequency data in forecasting economic aggregates can improve forecast accuracy. The best way of using this information is to build a single model, for example, an ARMA model with missing...

In this paper I examine various extensions of the Nelson and Siegel (1987) model with the purpose of fitting and forecasting the term structure of interest rates. As expected, I find that using more flexible models leads to a better in-sample fit of the term structure. However, I show that the...

We forecast the term structure of U.S. Treasury zero-coupon bond yields by analyzing a range of models that have been used in the literature. We assess the relevance of parameter uncertainty by examining the added value of using Bayesian inference compared to frequentist estimation techniques,...