We quantify the causal link between exchange rate movements and sovereign risk of 16 major emerging market economies (EMEs) by means of structural vector autoregressive models (SVARs) using data from 10/2004 through 12/2016. We apply a novel data based identification approach of the structural...

We examine the causal relationship between US monetary policy shocks, exchange rates and currency excess returns for a sample of eight advanced countries over the period 1980M1 to 2022M11. We find that the dynamics of the US dollar exchange rate is the main driver of currency excess returns. The...

We quantify the causal link between exchange rate movements and sovereign risk of 16 major emerging market economies (EMEs) by means of structural vector autoregressive models (SVARs) using data from 10/2004 through 12/2016. We apply a novel data based identification approach of the structural...

We quantify the causal link between exchange rate movements and sovereign risk of 16 major emerging market economies (EMEs) by means of structural vector autoregressive models (SVARs) and conditional on data from 10/2004 through 12/2016. We apply a novel data-based identification approach of the...

We conceptualize global liquidity as global monetary policy and credit components by means of a large-scale dynamic factor model in the spirit of Eickmeier,Gambacorta, and Hofmann (2014). Going beyond previous work, we decompose aggregate credit components into credit supply and demand flows...

We conceptualize global liquidity as global monetary policy and credit components by means of a large-scale dynamic factor model. Going beyond previous work, we decompose aggregate credit components into credit supply and demand flows directed at businesses, households and governments. We show...

This dissertation consists of three independent research papers and contributes to the empirical analysis of the interaction between business and financial cycles from different perspectives. The first paper uses a non-linear multilevel dynamic factor model to better understand the changing...