This paper presents an analysis of the volatility connectedness of major bank stocks in the South East Asia (SEACEN) region between 2004 and 2016. Applying the Diebold-Yilmaz Connectedness Index (DYCI) framework to daily stock return volatilities of major banks in the region, we obtain results...

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...

Using a generalized vector autoregressive framework in which forecast-error variance decompositions are invariant to variable ordering, we propose measures of both total and directional volatility spillovers. We use our methods to characterize daily volatility spillovers across U.S. stock, bond,...

We propose several connectedness measures built from pieces of variance decompositions, and we argue that they provide natural and insightful measures of connectedness among financial asset returns and volatilities. We also show that variance decompositions define weighted, directed networks, so...

We apply the Diebold-Yilmaz connectedness index methodology on sovereign credit default swaps (SCDSs) to estimate the network structure of global sovereign credit risk. In particular, using the elastic net estimation method, we separately estimate networks of daily SCDS returns and volatilities...

We provide a simple and intuitive measure of interdependence of asset returns and/or volatilities. In particular, we formulate and examine precise and separate measures of return spillovers and volatility spillovers. Our framework facilitates study of both non-crisis and crisis episodes,...