This article aims at estimating leading indicators of the American economy with financial variables. We use two types of hidden Markov chains models, a quantitative one (Krolzig (1997)) and a qualitative one (Gregoir and Lenglart (2000)). These models provide a robust and reliable framework to...

In this paper, we attempt to analyse the relationship between house price developments and the business cycle. Employing a time-varying transition probability Markov switching framework, we provide empirical evidence that house price growth may prove a useful leading indicator for turning point...

This paper merges two specifications developed recently in the forecasting literature: the MS-MIDAS model introduced by Guérin and Marcellino (2011) and the MIDAS-factor model considered in Marcellino and Schumacher (2010). The MS-factor MIDAS model (MS-FaMIDAS) that we introduce incorporates...

I study the role of shocks to beliefs combined with Bayesian learning in a standard equilibrium business cycle framework. By adapting ideas from Cogley and Sargent (2008b) to the general equilibrium setting, I am able to study how a prior belief arising from the Great Depression may have...

Standard practice for the estimation of dynamic stochastic general equilibrium (DSGE) models maintains the assumption that economic variables are properly measured by a single indicator, and that all relevant information for the estimation is summarized by a small number of data series. However,...

In recent years, factor models have received increasing attention from both econometricians and practitioners in the forecasting of macroeconomic variables. In this context, Bai and Ng (2008) find an improvement in selecting indicators according to the forecast variable prior to factor...

This paper proposes new bridge equations for the Monthly Index of Business Activity (MIBA) published by the Banque de France. The MIBA is a forecasting tool for the quarterly GDP growth in France both for the current quarter and the next quarter, originally based on the surveys in the industrial...

Facing several economic and financial uncertainties, assessing accurately global economic conditions is a great challenge for economists. The International Monetary Fund proposes within its periodic World Economic Outlook report a measure of the global GDP annual growth, that is often considered...

The shocks on a stochastic system can be defined by means of either distribution, or variable. We relate these approaches and provide the link between the global and local effects of both types of shocks. These methodologies are used to perform stress-tests on the portfolio of financial...

The debate on the forecasting ability in economics of non-linear models has a long history, and the Great Recession provides us with an opportunity for a re-assessment of the forecasting performance of several classes of non-linear models, widely used in applied macroeconomic research. In this...