We use lasso methods to shrink, select and estimate the network linking the publicly-traded subset of the world's top 150 banks, 2003-2014. We characterize static network connectedness using full-sample estimation and dynamic network connectedness using rolling-window estimation. Statistically,...

This paper presents an analysis of the dynamic measures of volatility connectedness of major bank stocks in the US and the EU member countries. The results show that in the early stages of the US financial crisis in 2007 and 2008, the direction of the volatility connectedness was from the US...

Since the global financial crisis, major central banks gradually switched to unconventional monetary policies (UMPs) as part of their efforts to directly influence the long-term interest rates. This study analyzes the impact of conventional/unconventional monetary policies on sovereign bond...

This paper contributes to the understanding of the international financial linkages created by US banks by looking at the geographical composition and structure of the balance sheet of foreign branches. The empirical investigation, which is based on a novel dataset containing balance sheet...

We use variance decompositions from high-dimensional vector autoregressions to characterize connectedness in 19 key commodity return volatilities, 2011-2016. We study both static (full-sample) and dynamic (rolling-sample) connectedness. We summarize and visualize the results using tools from...