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 aims to study the correlation structure, key commodity and cluster characteristics of China's commodity markets during the period of the 2020-2021 global commodity price boom via applying Empirical Mode Decomposition (EMD) of commodity futures price indices to obtain high-frequency...

This paper, using Japanese market data, finds that although the correlation between equity markets and commodity market used to be negative or almost zero before around 2006, it has increased significantly after the global financial crisis in Autumn of 2008. In this sense, the commodity market...