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Co-movement of commodity price indexes and energy price index: a wavelet coherence approach

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  • Dervis Kirikkaleli

    (European University of Lefke)

  • Hasan Güngör

    (Eastern Mediterranean University)

Abstract

This research sheds light on the causal link between commodity price indexes, i.e., the Agricultural Raw Materials Price Index, Industry Input Price Index, Metal Price Index, and Energy Price Index, in the global market, using wavelet coherence, Toda–Yamamoto causality, and gradual shift causality tests over the period 1992M1 to 2019M12. Findings from the wavelet power spectrum and partial wavelet coherence reveal that: (1) there was significant volatility in the Agricultural Raw Materials Price Index, Industry Input Price Index, Metal Price Index, and Energy Price Index between 2004 and 2014 at different frequencies; and (2) commodity price indexes significantly caused the energy price index at different time periods and frequencies. It is noteworthy that the outcomes of the Toda–Yamamoto causality and gradual-shift causality tests are in line with the results of wavelet coherence.

Suggested Citation

  • Dervis Kirikkaleli & Hasan Güngör, 2021. "Co-movement of commodity price indexes and energy price index: a wavelet coherence approach," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-18, December.
    • Handle: RePEc:spr:fininn:v:7:y:2021:i:1:d:10.1186_s40854-021-00230-8
    DOI: 10.1186/s40854-021-00230-8
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    3. Yu, Yang & Guo, SongLin & Chang, XiaoChen, 2022. "Oil prices volatility and economic performance during COVID-19 and financial crises of 2007–2008," Resources Policy, Elsevier, vol. 75(C).
    4. Doğan, Buhari & Trabelsi, Nader & Tiwari, Aviral Kumar & Ghosh, Sudeshna, 2023. "Dynamic dependence and causality between crude oil, green bonds, commodities, geopolitical risks, and policy uncertainty," The Quarterly Review of Economics and Finance, Elsevier, vol. 89(C), pages 36-62.
    5. Brian Opiyo Yalla & Ferdinand Okoth Othieno, 2023. "Modelling delayed correlation between interest rates and equity market returns," SN Business & Economics, Springer, vol. 3(2), pages 1-24, February.
    6. Puneet Vatsa & Dragan Miljkovic, 2022. "Energy and crop price cycles before and after the global financial crisis: A new approach," Journal of Agricultural Economics, Wiley Blackwell, vol. 73(1), pages 220-233, February.
    7. 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).
    8. Olanipekun, Ifedolapo Olabisi & Ozkan, Oktay & Olasehinde-Williams, Godwin, 2023. "Is renewable energy use lowering resource-related uncertainties?," Energy, Elsevier, vol. 271(C).
    9. Ikhlaas Gurrib & Mohammad Nourani & Rajesh Kumar Bhaskaran, 2022. "Energy crypto currencies and leading U.S. energy stock prices: are Fibonacci retracements profitable?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-27, December.
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    More about this item

    Keywords

    Energy price; Commodity price; Wavelet coherence; Causality;
    All these keywords.

    JEL classification:

    • Q4 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy
    • Q2 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Renewable Resources and Conservation
    • E3 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles
    • C3 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables

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