We propose a granular framework that makes use of advanced statistical methods to approximate developments in economy-wide expected corporate earnings. In particular, we evaluate the dynamic network structure of stock returns in the United States as a proxy for the transmission of shocks through...

We postulate a nonlinear DSGE model with a financial sector and heterogeneous households. In our model, the interaction between the supply of bonds by the financial sector and the precautionary demand for bonds by households produces significant endogenous aggregate risk. This risk induces an...

We propose a granular framework that makes use of advanced statistical methods to approximate developments in economy-wide expected corporate earnings. In particular, we evaluate the dynamic network structure of stock returns in the United States as a proxy for the transmission of shocks through...

This paper proposes a Markov-switching framework to endogenously identify the following: (1) regimes where economies synchronously enter recessionary and expansionary phases; and (2) regimes where economies are unsynchronized, essentially following independent business cycles. The reliability of...

Depuis la récession économique mondiale de 2008-2009, les méthodes de prévision des cycles économiques ont été largement reconsidérées. Le dernier séminaire de l’International Institute of Forecasters, organisé par la Banque de France les 1er et 2 décembre 2011 à Paris, a été...

This paper analyses synchronization in business cycles across the European Union (EU) since 1989. We include both old and new European Union members and countries which are currently negotiating accession, as well as potential European Union members. Our methodological approach is based on the...

This paper analyses synchronization in business cycles across the European Union (EU) since 1989. We include both old and new European Union members and countries which are currently negotiating accession, as well as potential European Union members. Our methodological approach is based on the...

Machine Learning models are often considered to be "black boxes" that provide only little room for the incorporation of theory (cf. e.g. Mukherjee, 2017; Veltri, 2017). This article proposes so-called Dynamic Factor Trees (DFT) and Dynamic Factor Forests (DFF) for macroeconomic forecasting, which...

This paper investigates how, in a heterogeneous agents model with financial frictions, idiosyncratic individual shocks interact with exogenous aggregate shocks to generate time-varying levels of leverage and endogenous aggregate risk. To do so, we show how such a model can be efficiently...

The economy, either in whole or in part, is a policy space of networks, which are installed to better enable people to fulfill their potentials and to realize their aspirations. However, there are gaps in the knowledge for ensuring that this search for a great transition, in terms of the...