In this paper we extend the Stock and Watson’s (Leading economic indicators, new approaches and forecasting records, <CitationRef CitationID="CR17">1991</CitationRef>) single-index dynamic factor model in an econometric framework that has the advantage of combining information from real and financial indicators published at different...</citationref>

We show that the single-index dynamic factor model developed by Aruoba and Diebold (Am Econ Rev, 100:20-24, 2010) to construct an index of US business cycle conditions is also very useful for forecasting US GDP growth in real time. In addition, we adapt the model to include survey data and...

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...

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 mostramos que el modelo de factores dinámicos de un solo índice desarrollado por Aruoba y Diebold (American Economic Review, 100, pp. 20-24, 2010) para construir un indicador de condiciones del ciclo económico de Estados Unidos resulta también muy útil para predecir el...