In the last few years, the growth in the amount of economic and financial data available has prompted econometricians to develop or adapt new methods enabling them to summarise efficiently the information contained in large databases. Of these methods, dynamic factor models have seen rapid...

This paper compares the GDP forecasting performance of alternative factor models based on monthly time series for the French economy. These models are based on static and dynamic principal components obtained using time and frequency domain methods. We question whether it is more appropriate to...

Governments and central banks need to have an accurate and timely assessment of gross domestic product's (GDP) growth rate for the current quarter, as this is essential for providing a reliable and early analysis of the current economic situation. This paper presents a series of models conceived...

[eng] We describe a new coincident probabilistic cyclical indicator developed by the Banque de France in order to detect, on a monthly basis, the turning points in the French economy’s acceleration cycle. The indicator is based on the methodology of Markov-switching models and uses the...