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What can we learn about commodity and credit cycles? Evidence from African commodity-exporting countries
[Que pouvons nous apprendre sur les matières premières et les cycles de crédit? Evidence des pays africains exportateurs de matières premières]

Author

Listed:
  • Zied Ftiti

    (EDC - EDC Paris Business School)

  • Sandrine Kablan

    (ERUDITE - Equipe de Recherche sur l’Utilisation des Données Individuelles en lien avec la Théorie Economique - UPEM - Université Paris-Est Marne-la-Vallée - UPEC UP12 - Université Paris-Est Créteil Val-de-Marne - Paris 12)

  • Khaled Guesmi

    (IPAG Business School)

Abstract

This study analyzes the relationship between commodity prices and credit to the private sector in commodity-exporting developing countries, particularly three nations in Sub-Saharan Africa. In this regard, we extend the findings of non-empirical studies dealing with this issue for the case of African countries and complement the literature on the methodological side by investigating this relationship using wavelet analysis. This frequency approach is appropriate, as it takes into account investor heterogeneity and the time-variant characteristic of the studied relationship. Further, it explains the lead–lag relationship between the studied series. First, we observe that credit and commodities are strongly related over long timescales, suggesting that the credit market reacts strongly to long-term change in commodity markets and thus tends to be sensitive to persistent commodity shocks. Second, for medium and short timescales, the interaction is high and significant only during periods of turmoil. In terms of the lead–lag relationship, our results also show that the commodity market causes fluctuations in the credit market.

Suggested Citation

  • Zied Ftiti & Sandrine Kablan & Khaled Guesmi, 2016. "What can we learn about commodity and credit cycles? Evidence from African commodity-exporting countries [Que pouvons nous apprendre sur les matières premières et les cycles de crédit? Evidence des pays africains exportateurs de matières premières," Post-Print hal-04281444, HAL.
  • Handle: RePEc:hal:journl:hal-04281444
    DOI: 10.1016/j.eneco.2016.10.011
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    Citations

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    Cited by:

    1. Heckelei, T. & Amrouk, E.M. & Grosche, S., 2018. "International interdependence between cash crop and staple food futures price indices: A wavelet-BEKK-GARCH assessment," 2018 Conference, July 28-August 2, 2018, Vancouver, British Columbia 277376, International Association of Agricultural Economists.
    2. Bilgili, Faik & Kassouri, Yacouba & Kuşkaya, Sevda & Majok Garang, Aweng Peter, 2024. "The dynamic nexus of oil price fluctuations and banking sector in China: A continuous wavelet analysis," Resources Policy, Elsevier, vol. 88(C).
    3. Ben Maatoug, Abderrazek & Ben Ayed, Wassim & Ftiti, Zied, 2019. "Are MENA banks’ capital buffers countercyclical? Evidence from the Islamic and conventional banking systems," The Quarterly Review of Economics and Finance, Elsevier, vol. 74(C), pages 109-118.
    4. Zins, Alexandra & Weill, Laurent, 2018. "Cyclicality of lending in Africa: The influence of bank ownership," Emerging Markets Review, Elsevier, vol. 37(C), pages 164-180.
    5. Ge, Lei & Huang, Qiwei & Zhu, Fengshuang & Chen, Shun, 2025. "Advanced time series forecasting for commodities: Insights from the FEDformer model," Energy Economics, Elsevier, vol. 147(C).
    6. Isha Agrawal & Rupa Duttagupta & Mr. Andrea F Presbitero, 2017. "International Commodity Prices and Domestic Bank Lending in Developing Countries," IMF Working Papers 2017/279, International Monetary Fund.
    7. Agnello, Luca & Castro, Vítor & Hammoudeh, Shawkat & Sousa, Ricardo M., 2020. "Global factors, uncertainty, weather conditions and energy prices: On the drivers of the duration of commodity price cycle phases," Energy Economics, Elsevier, vol. 90(C).
    8. Zied Ftiti & Wael Louhichi & Hachmi Ben Ameur, 2023. "Cryptocurrency volatility forecasting: What can we learn from the first wave of the COVID-19 outbreak?," Annals of Operations Research, Springer, vol. 330(1), pages 665-690, November.
    9. Hegerty, Scott W., 2024. "Commodity prices and domestic credit in Central and Eastern Europe: Are there asymmetric effects?," Economic Systems, Elsevier, vol. 48(1).
    10. Marina Tiunova, 2019. "Commodity and Financial Cycles in Resource-based Economies," Russian Journal of Money and Finance, Bank of Russia, vol. 78(3), pages 38-70, September.
    11. Kassouri, Yacouba & Altıntaş, Halil & Bilgili, Faik, 2020. "An investigation of the financial resource curse hypothesis in oil-exporting countries: The threshold effect of democratic accountability," Journal of Multinational Financial Management, Elsevier, vol. 56(C).
    12. Hachmi Ben Ameur & Sahbi Boubaker & Zied Ftiti & Wael Louhichi & Kais Tissaoui, 2024. "Forecasting commodity prices: empirical evidence using deep learning tools," Annals of Operations Research, Springer, vol. 339(1), pages 349-367, August.

    More about this item

    Keywords

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    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • O55 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Africa
    • Q43 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Energy and the Macroeconomy

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