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...

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...

This paper analyses a large database on inter-firm R&D cooperation formed in the pharmaceutical biotechnology industry during the period 1985 - 1998. The results indicate that network size largely grows, whereas the density of the network declines during the periods. In the network analysis that...

This paper analyses a large database on inter-firm R&D cooperation formed in the pharmaceutical biotechnology industry during the period 1985 - 1998. The results indicate that network size largely grows, whereas the density of the network declines during the periods. In the network analysis that...