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Situated Information Flow between Food Commodity and Regional Equity Markets: An EEMD-Based Transfer Entropy Analysis

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  • Samuel Kwaku Agyei
  • Peterson Owusu Junior
  • Ahmed Bossman
  • Emmanuel Yaw Arhin
  • Stefan Cristian Gherghina

Abstract

The intrinsic information shared by financial assets provides a means of assessing their mutual linkages. In times of crisis, spillovers and information flow between markets increase, and this drives empirical investigations into the degree of connectedness between financial assets. In the context of commodity markets, empirical evidence about the mutual information shared and its influence on portfolio management is largely unknown. This study examines the situated information between the food commodities (cereals, dairy, food, meat, vegetable oil, and sugar) of the FAO and regional stock markets’ returns. From the ensemble empirical mode decomposition (EEMD)-based Rényian transfer entropy analysis employed, we find significant bidirectional information flow between the food commodities and regional equity markets. Our findings divulge that the diversification potentials of food commodities rest in the long term, with sugar being a consistent diversifier across all investment horizons. The investment and policy implications of our findings are further discussed.

Suggested Citation

  • Samuel Kwaku Agyei & Peterson Owusu Junior & Ahmed Bossman & Emmanuel Yaw Arhin & Stefan Cristian Gherghina, 2022. "Situated Information Flow between Food Commodity and Regional Equity Markets: An EEMD-Based Transfer Entropy Analysis," Discrete Dynamics in Nature and Society, Hindawi, vol. 2022, pages 1-28, April.
  • Handle: RePEc:hin:jnddns:3938331
    DOI: 10.1155/2022/3938331
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    Cited by:

    1. Bossman, Ahmed & Umar, Zaghum & Teplova, Tamara, 2022. "Modelling the asymmetric effect of COVID-19 on REIT returns: A quantile-on-quantile regression analysis," The Journal of Economic Asymmetries, Elsevier, vol. 26(C).
    2. Agyei, Samuel Kwaku & Umar, Zaghum & Bossman, Ahmed & Teplova, Tamara, 2023. "Dynamic connectedness between global commodity sectors, news sentiment, and sub-Saharan African equities," Emerging Markets Review, Elsevier, vol. 56(C).
    3. Mensi, Walid & Gubareva, Mariya & Teplova, Tamara & Kang, Sang Hoon, 2023. "Spillover and connectedness among G7 real estate investment trusts: The effects of investor sentiment and global factors," The North American Journal of Economics and Finance, Elsevier, vol. 66(C).
    4. Bossman, Ahmed & Gubareva, Mariya & Teplova, Tamara, 2023. "Asymmetric effects of market uncertainties on agricultural commodities," Energy Economics, Elsevier, vol. 127(PB).
    5. 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).
    6. Tihana Škrinjarić, 2022. "Higher Moments Actually Matter: Spillover Approach for Case of CESEE Stock Markets," Mathematics, MDPI, vol. 10(24), pages 1-34, December.

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