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Cited by 380

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Global financial crisis and rising connectedness in the international commodity markets

Zhang, Dayong, Broadstock, David C.·2020·International Review of Financial Analysis

Abstract

Abstract This paper documents a dramatic change in the nature of connectedness in global commodity prices following the 2008 global financial crisis. We show that co-dependence in price-changes among seven major commodity classes goes from a pre-crisis average of 14.82% to a strikingly larger average of 47.87% in the period following the crisis, and which has endured until now. Dynamic swings in price co-movements of such a scale present a clear concern for financial investors and are of immediate interest to a wider policy-maker audience. Of particular interest is the empirical behavior of the food commodity price index, whose contribution to the system dynamics rises from less than 20% in the period up to 2008, to more than 80% after. To dispel any concern that these finding may be method-specific, we demonstrate their invariance to modeling procedure by providing analogous-results using a pairwise Granger causality analysis, as well as different sub-sampling choices.

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Metadata

Authors
Zhang, D., & Broadstock, D. C.
Venue
International Review of Financial Analysis
Publisher
Elsevier BV
Published
2020-03
Volume
68
Pages
101239
ISSN
1057-5219 (ISSN-L)
OpenAlex
W2885203629
Cited by
380
References
1
FWCI
35.36
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Global financial crisis and rising connectedness in the international commodity markets. https://app.cochat.ai/papers/10.1016/j.irfa.2018.08.003
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Zhang, D., & Broadstock, D. C. (2020). Global financial crisis and rising connectedness in the international commodity markets. International Review of Financial Analysis. https://doi.org/10.1016/j.irfa.2018.08.003

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.