We study the synchronization of credit booms and busts among 12 major European economies and the United States between 1972-2011. We propose a regression-based procedure to test whether boom-bust phases of credit cycles coincide across countries and to cluster countries with positively...

We address the question of whether various types of speculative investor correctly anticipate future USD/EUR currency movements or whether they tend rather to react to past exchange rate movements. Throughout the analysis, we differentiate between large and small traders, and an upper bound of...

We analyze Granger causality testing in a mixed-frequency VAR, where the difference in sampling frequencies of the variables is large. Given a realistic sample size, the number of high-frequency observations per low-frequency period leads to parameter proliferation problems in case we attempt to...

We document that expansionary monetary policy shocks are less effective at stimulating output and investment in periods of high volatility compared to periods of low volatility, using a regime-switching vector autoregression. The lower effectiveness of monetary policy can be linked to weaker...

Dynamic factor models and external instrument identification are two recent advances in the empirical macroeconomic literature. This paper combines the two approaches in order to study the effects of monetary policy shocks. I use this novel framework to re-examine the effects found by Forni and...

This paper investigates the asymmetries in arbitrage trading with onshore and offshore renminbi spot rates, focusing on the time-varying driving factors behind the deviations of the two rates from their long-run equilibrium. Fundamentally, offshore and onshore renminbi rates represent the same...

This paper investigates the dynamic linkages in terms of the first and second moments between stock and bond returns, within a wide range of advanced economies, over the different phases of the recent financial crisis. The adopted empirical framework is a bivariate volatility model, where...

There has been increased interest in the use of "big data" when it comes to forecasting macroeconomic time series such as private consumption or unemployment. However, applications on forecasting GDP are rather rare. In this paper we incorporate Google search data into a Bridge Equation Model, a...

Forecasts are useless whenever the forecast error variance fails to be smaller than the unconditional variance of the target variable. This paper develops tests for the null hypothesis that forecasts become uninformative beyond some limiting forecast horizon h. Following Diebold and Mariano (DM,...

Based on SVAR models identified by sign restrictions, we estimate the macroeconomic effects of financial and uncertainty shocks in the euro area and the US, paying particular attention to their effects on prices. While our results confirm that such disturbances are important drivers of output...