We estimate a latent factor model that decomposes international stock returns into global, country-, and industry-specific shocks and allows for stock-specific exposures to these shocks. We find that across stocks there is substantial dispersion in these exposures, which is partly explained by...

This paper combines both micro and macro approaches to identify the drivers of (un)employment and inactivity in Luxembourg. The young, low-skilled, and non-EU migrants are found to be the most vulnerable groups in the labor market. In addition to skills mismatches, work disincentives embedded in...

Why do asset price bubbles continue to appear in various markets? This paper provides an overview of recent literature on bubbles, with significant attention given to behavioral models and rational models with frictions. Unlike the standard rational models, the new literature is able to model...

This paper describes recent work to strengthen nowcasting capacity at the IMF's European department. It motivates and compiles datasets of standard and nontraditional variables, such as Google search and air quality. It applies standard dynamic factor models (DFMs) and several machine learning...

The main purpose of this paper is to construct a financial conditions index (FCI) for South Africa. The analysis extracts the index by applying two alternative approaches (principal component analysis and Kalman filter), which identify an unobservable common factor from a group of external and...

This paper constructs a financial conditions index for Poland to explore the link between financial conditions and real economic activity. The index in constructed by applying two complementary approaches—factor analysis and vector auto-regression approach. We evaluate the index’s...