We propose a dynamic factor model with time-varying parameters and stochastic volatility to analyze the relationship between global factors and country-specific capital flow dynamics. Studying a global sample of 43 countries from 1994 until 2015, we show that global co-movement of macroeconomic,...

In this paper we characterize empirically the comovements of macro variables typically observed in middle income countries, as well as the boom-bust cycle that has been observed during the last two decades. We find that many countries that have liberalized their financial markets, have witnessed...

In this paper we characterize empirically the comovements of macro variables typically observed in middle income countries, as well as the "boom-bust cycle" that has been observed during the last two decades. We find that many countries that have liberalized their financial markets, have...

This paper provides insights into the time-varying dynamics of the German business cycle over the last five decades. To do so, I employ an open-economy time-varying parameter VAR with stochastic volatility, which I estimate by quasi-Bayesian techniques. The reduced-form analysis reveals...

According to a growing body of empirical literature, global shocks have become less important for business cycles in industrialized countries and emerging market economies since the mid-1980s. In this paper, we analyze the question of what might have caused a decoupling from the global business...

Life insurers are exposed to interest rate risk as their liability side is typically more sensitive to interest rate changes than their asset side. This paper explores why insurers assume this risk using a new accounting-based method to measure interest rate sensitivity of assets and...

Life insurers are exposed to interest rate risk, and their liability side is typically more sensitive to interest rate changes than their asset side. This paper develops an accounting-based measure of interest rate sensitivity. My approach uses the coexistence of historical cost and market value...

Using monthly data for Belgium, France, Germany, Italy and Spain for the period 2002-2019, we build a Hierarchical Euro Area Dynamic Nelson-Siegel model that allows for time varying exposures of national factors on the common components, and for stochastic volatility both at the regional and...

Gaussian affine term structure models attribute time‐varying bond risk premia to changing risk prices driven by the conditional means of the risk factors, while structural models with recursive preferences credit it to stochastic volatility. We reconcile these competing channels by introducing...