We propose a model to compute short-term forecasts of the Euro area GDP growth in real-time. To allow for forecast evaluation, we construct a real-time data set that changes for each vintage date and includes the exact information that was available at the time of each forecast. In this context,...

One of the most extended empirical stylized facts about output dynamics in the United States is the positive autocorrelation of output growth. This paper shows that the positive autocorrelation can be better captured by shifts between business cycle states rather than by the standard view of...

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...

Incluye bibliografía ; 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 specifi...

Incluye bibliografía ; 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...

Incluye bibliografía ; We extend the Markov-switching dynamic factor model to account for some of the specifi cities of the day-to-day monitoring of economic developments from macroeconomic indicators, such as ragged edges and mixed frequencies. We examine the theoretical benefi ts of this...

We develop a dynamic factor model to compute short term forecasts of the Spanish GDP growth in real time. With this model, we compute a business cycle index which works well as an indicator of the business cycle conditions in Spain. To examine its real time forecasting accuracy, we use real-time...

We show that an extension of the Markov-switching dynamic factor models that accounts for the speci cities of the day to day monitoring of economic developments such as ragged edges, mixed frequencies and data revisions is a good tool to forecast the Euro area recessions in real time. We provide...

En este trabajo se propone un nuevo modelo de predicción en tiempo real del crecimiento de PIB de la zona euro, llamado D€STINY, con el que se pretende complementar la literatura de modelos de previsión de corto plazo, rellenando el hueco existente entre los modelos dinámicos factoriales de...

En este artículo se examina la evolución de la distribución de los vínculos de ciclos económicos a nivel de industria, los cuales son modelados con procesos markovianos multivariados y estimados por el muestreo de Gibbs. Utilizando técnicas no paramétricas, se encuentra que el número y...