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...

Derivatives are playing an increasing role within the trading ecosystem of Bitcoin markets. This includes futures that are traded on US regulated exchanges like the Chicago Mercantile Exchange (CME) and unregulated exchanges like Binance. Prior research on which bitcoin markets lead in price...

In 2007, the highly dynamic commodity markets had attracted new classes of participants such as algorithmic high-frequency traders; sophisticated product structurers; and Chinese entrepreneurs. This paper will briefly cover the market developments that brought in these new participants by...

This paper will argue that long-only investments in the commodity futures markets, specifically those represented by the GSCI, are only advisable under a well-defined circumstance. One needs to use a reliable indicator of scarcity before investing in commodities in order to improve the chances...

While the commodity markets provide a manager with ample opportunities for creating portfolios of diverse strategies, there are a number of challenges in doing so. In this paper, we provide two examples of those challenges: (1) the correlations amongst commodities vary seasonally due to...