Common Drivers of Commodity Futures?

Publication date

2022

Authors

Dudda, Tom
Klein, Tony
Nguyen, Duc Khuong
Walther, ThomasORCID 0000-0003-4359-987XISNI 0000000492960120

Editors

Advisors

Supervisors

Document Type

Working paper
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Abstract

We study potential drivers for a large cross-section of commodity futures. Unlike previous studies, we examine the effect of monthly drivers on daily returns using mixed- frequency Granger causality tests. We find real economic activity as a main driver on a monthly basis, whereas financial variables seem to affect returns at daily frequency. The linkages are time-varying for various stages of the financialization of commodity markets with an overall dissipating impact in the recent period of de-financialization. As our results strongly differ from traditional low-frequency Granger causality tests under the temporal aggregation of futures returns, we show the economic value of accessing infor- mation at a higher frequency in an out-of-sample trading study. Our findings emphasize the importance of using mixed-frequency techniques to uncover relationships between monthly-published macroeconomic variables and commodity prices.

Keywords

Commodity futures, VAR, Granger causality, Mixed data sampling

Citation

Dudda, T, Klein, T, Nguyen, D K & Walther, T 2022 'Common Drivers of Commodity Futures?' U.S.E. Discussion paper series, no. 07, vol. 22, U.S.E. Research Institute, pp. 2-61. https://doi.org/10.2139/ssrn.4231994