This paper investigates the propagation of instability through key asset markets of the US financial system - equity, real estate, banking and treasury - between 1/3/2000 and 12/26/2014. For this purpose, we develop an identification method to uncover characteristic financial market...

We estimate the marginal effects of identified components of global liquidity on 43 real economies. To this end, we employ global public and private credit components of Herwartz, Ochsner, and Rohloff (2021) in factor-augmented vector-autoregressions to trace credit shocks through the real...

This paper analyzes whether nation-state governments can increase their credibility by becoming members of international organizations. Credibility is an important asset because it determines the real interest rate and is expected to have an important impact on investment and growth. It is...

In panel data econometrics the Hausman test is of central importance to select an e±cient estimator of the models' slope parameters. When testing the null hypothesis of no correlation between unobserved heterogeneity and observable explanatory variables by means of the Hausman test model...

In this note a Monte Carlo approach is suggested to determine critical values for diagnostic tests of Value-at-Risk models that rely on binary random variables. Monte Carlo testing offers exact significance levels in finite samples. Conditional on exact critical values the dynamic quantile test...

Tests of causality in variance in multiple time series have been proposed recently, based on residuals of estimated univariate models. Although such tests are applied frequently little is known about their power properties. In this paper we show that a convenient alternative to residual based...

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...