IDEAS home Printed from https://ideas.repec.org/a/oup/ajagec/v99y2017i3p683-704..html
   My bibliography  Save this article

Market Institutions and Price Relationships: The Case of Coffee in the Ethiopian Commodity Exchange

Author

Listed:
  • Manuel A. Hernandez
  • Shahidur Rashid
  • Solomon Lemma
  • Tadesse Kuma

Abstract

While the Ethiopian Commodity Exchange (ECX) is widely considered a successful market institution, very little rigorous empirical investigation has been done on it. This paper contributes to filling this knowledge gap. Using a unique set of spatially disaggregated prices for five different coffee varieties, we examine how the ECX has influenced the dynamics of international and domestic prices for coffee, the largest traded commodity in terms of trade value on the exchange floor. We follow a multivariate Generalized Autoregressive Conditional Heteroscedasticity (GARCH) approach to assess the extent of market interdependence (conditional correlations) and volatility transmission. We also evaluate structural changes in price dynamics over time. Our results suggest that, contrary to popular media stories, the ECX’s success in strengthening coffee price relationships has been limited. We discuss the underlying reasons and implications of this finding.

Suggested Citation

  • Manuel A. Hernandez & Shahidur Rashid & Solomon Lemma & Tadesse Kuma, 2017. "Market Institutions and Price Relationships: The Case of Coffee in the Ethiopian Commodity Exchange," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 99(3), pages 683-704.
    • Handle: RePEc:oup:ajagec:v:99:y:2017:i:3:p:683-704.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/ajae/aaw101
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Daniel Grandisky Lerner & Helder Marcos Freitas Pereira & Maria Sylvia Macchione Saes & Gustavo Magalhães de Oliveira, 2021. "When Unfair Trade Is Also at Home: The Economic Sustainability of Coffee Farms," Sustainability, MDPI, vol. 13(3), pages 1-14, January.
    2. Distefano, Tiziano & Chiarotti, Guido & Laio, Francesco & Ridolfi, Luca, 2019. "Spatial Distribution of the International Food Prices: Unexpected Heterogeneity and Randomness," Ecological Economics, Elsevier, vol. 159(C), pages 122-132.
    3. Abate, Gashaw T. & Abay, Kibrom A. & Chamberlin, Jordan & Kassim, Yumna & Spielman, David J. & Paul Jr Tabe-Ojong, Martin, 2023. "Digital tools and agricultural market transformation in Africa: Why are they not at scale yet, and what will it take to get there?," Food Policy, Elsevier, vol. 116(C).
    4. Ambler, Kate & de Brauw, Alan & Herskowitz, Sylvan & Pulido, Cristhian, 2023. "Viewpoint: Finance needs of the agricultural midstream," Food Policy, Elsevier, vol. 121(C).
    5. Holmes, Mark J. & Otero, Jesús, 2023. "Psychological price barriers, El Niño, La Niña: New insights for the case of coffee," Journal of Commodity Markets, Elsevier, vol. 31(C).
    6. Jian Yang & Yinggang Zhou, 2020. "Return and volatility transmission between China's and international crude oil futures markets: A first look," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 40(6), pages 860-884, June.
    7. Roche, Julian Spencer, 2020. "Success criteria for commodity exchanges," African Journal of Agricultural and Resource Economics, African Association of Agricultural Economists, vol. 15(2), June.
    8. Tiziano Distefano & Guido Chiarotti & Francesco Laio & Luca Ridolfi, 2018. "Spatial distribution of the international food prices: unexpected randomness and heterogeneity," SEEDS Working Papers 0118, SEEDS, Sustainability Environmental Economics and Dynamics Studies, revised Jan 2018.

    More about this item

    Keywords

    Market interdependence; volatility transmission; coffee; Ethiopian Commodity Exchange;
    All these keywords.

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • Q02 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - General - - - Commodity Market
    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:oup:ajagec:v:99:y:2017:i:3:p:683-704.. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/aaeaaea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.