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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Energy Economicsarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Energy Economics
Article . 2016 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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What can we learn about commodity and credit cycles? Evidence from African commodity-exporting countries

Authors: Zied Ftiti; Sandrine Kablan; Khaled Guesmi;

What can we learn about commodity and credit cycles? Evidence from African commodity-exporting countries

Abstract

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.

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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    17
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
17
Top 10%
Average
Top 10%
bronze