En este artículo proponemos un modelo Markov-switching de factores dinámicos para: i) construir un índice que refl eje las condiciones del ciclo económico global ; ii) para realizar previsiones a corto plazo del crecimiento trimestral del PIB mundial en tiempo real, y iii) calcular...

​Relying on quarterly data since 1998 we estimate, for China and the U.S., small scale econometric models that economize on the number of variables employed and yet are rich enough to provide useful insights about spillover effects between the two countries under different maintained...

Relying on quarterly data since 1998 we estimate, for China and the U.S., small scale econometric models that economize on the number of variables employed and yet are rich enough to provide useful insights about spillover effects between the two countries under different maintained assumptions...

The implied volatility surface is the collection of volatilities implied by option contracts for different strike prices and time-to-maturity. We study factor models to capture the dynamics of this three-dimensional implied volatility surface. Three model types are considered to examine...

EuroMInd-D is a density estimate of monthly gross domestic product (GDP) constructed according to a bottom–up approach, pooling the density estimates of eleven GDP components, by output and expenditure type. The components density estimates are obtained from a medium-size dynamic factor model...

EuroMInd-D is a density estimate of monthly gross domestic product (GDP) constructed according to a bottom-up approach, pooling the density estimates of eleven GDP components, by output and expenditure type. The components density estimates are obtained from a medium-size dynamic factor model of...

EuroMInd-D is a density estimate of monthly gross domestic product (GDP) constructed according to a bottom–up approach, pooling the density estimates of eleven GDP components, by output and expenditure type. The components density estimates are obtained from a medium-size dynamic factor model...

We propose a Markov-switching dynamic factor model to construct an index of global business cycle conditions, for performing short-term forecasts of quarterly world GDP growth in real time and computing real-time business cycle probabilities. To overcome the real-time forecasting challenges, the...

The official institutions (NBER, OECD, CEPR and others) provide business cycle chronology with a lag from 3 months up to several years. Markov-Switching Dynamic Factor Model (MS-DFM) allows to produce the turning points more timely. The Kalman filter estimates of the model can be obtained in one...