We examine the finite-sample performance of small versus large scale dynamic factor models. Our Monte Carlo analysis reveals that small scale factor models out-perform large scale models in factor estimation and forecasting for high levels of cross-correlation across the idiosyncratic errors of...

We develop a twofold analysis of how the information provided by several economic indicators can be used in Markov-switching dynamic factor models to identify the business cycle turning points. First, we compare the performance of a fully non-linear multivariate specification (one-step approach)...

Maravall and del Río (2001), analized the time aggregation properties of the Hodrick-Prescott (HP) filter, which decomposes a time series into trend and cycle, for the case of annual, quarterly, and monthly data, and showed that aggregation of the disaggregate component cannot be obtained as...

We study the effects that the Maastricht treaty, the creation of the ECB, and the Euro changeover had on the dynamics of European business cycles using a panel VAR and data from ten European countries - seven from the Euro area and three outside of it. There are slow changes in the features of...

We extend the Markov-switching dynamic factor model to account for some of the specificities of the day-to-day monitoring of economic developments from macroeconomic indicators, such as ragged edges and mixed frequencies. We examine the theoretical benefits of this extension and corroborate the...

Policy discussions on the recent financial crisis feature widespread calls to address the pro-cyclical effects of regulation. The main concern is that the new risk-sensitive bank capital regulation (Basel II) may amplify business cycle fluctuations. This paper compares the leading alternative...