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Seven centuries of commodity co-movement: a wavelet analysis approach

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  • Zaghum Umar
  • Adam Zaremba
  • Dennis Olson

Abstract

We examine interdependencies between agricultural, industrial, and energy commodity price indices suing data sets from more than seven centuries. To this end, we apply wavelet coherence and wavelet phase difference. There is a high coherence between prices for all three commodity-groups with energy prices now leading both agricultural and industrial commodity prices. Also, the role of energy as a leading series has increased over time.

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  • Zaghum Umar & Adam Zaremba & Dennis Olson, 2022. "Seven centuries of commodity co-movement: a wavelet analysis approach," Applied Economics Letters, Taylor & Francis Journals, vol. 29(4), pages 355-359, February.
    • Handle: RePEc:taf:apeclt:v:29:y:2022:i:4:p:355-359
    DOI: 10.1080/13504851.2020.1869151
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    Cited by:

    1. Umar, Zaghum & Bossman, Ahmed & Choi, Sun-Yong & Vo, Xuan Vinh, 2023. "Are short stocks susceptible to geopolitical shocks? Time-Frequency evidence from the Russian-Ukrainian conflict," Finance Research Letters, Elsevier, vol. 52(C).
    2. Bouri, Elie & Nekhili, Ramzi & Todorova, Neda, 2023. "Dynamic co-movement in major commodity markets during crisis periods: A wavelet local multiple correlation analysis," Finance Research Letters, Elsevier, vol. 55(PB).
    3. Bossman, Ahmed & Agyei, Samuel Kwaku, 2022. "Interdependence structure of global commodity classes and African equity markets: A vector wavelet coherence analysis," Resources Policy, Elsevier, vol. 79(C).

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