IDEAS home Printed from https://ideas.repec.org/p/ags/iaae12/134146.html
   My bibliography  Save this paper

Food price volatility in sub-Saharan Africa: Has it really increased?

Author

Listed:
  • Minot, Nicholas

Abstract

The food price crisis of 2007–2008 and recent resurgence of food prices have focused increasing attention on the causes and consequences of food price volatility in international food markets and the developing world, particularly in sub-Saharan Africa. In this paper, we examine the patterns and trends in food price volatility using an unusually rich database of African staple food prices. We find that international grain prices have become more volatile in recent years (2007–2010) but no evidence that food price volatility has increased in the region. This contrasts with the widespread view that food prices have become more volatile in the region since the global food crisis of 2007–2008. In addition, the results suggest that price volatility is lower for processed and tradable food than for nontradable food, that volatility is lower in the major cities than in secondary cities, and that maize price volatility is actually higher in countries with the most active intervention to stabilize maize prices. These findings suggest that greater attention should be given to the (high) level of food prices in the region rather than volatility per se, that regional and international trade can play a useful role in reducing food price volatility, and that traditional food price stabilization efforts may be counterproductive.
(This abstract was borrowed from another version of this item.)

Suggested Citation

  • Minot, Nicholas, 2012. "Food price volatility in sub-Saharan Africa: Has it really increased?," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 134146, International Association of Agricultural Economists.
  • Handle: RePEc:ags:iaae12:134146
    DOI: 10.22004/ag.econ.134146
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/134146/files/IAAE%20paper%20African%20food%20price%20volatility%20v3.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.134146?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Dorosh, Paul A. & Dradri, Simon & Haggblade, Steven, 2009. "Regional trade, government policy and food security: Recent evidence from Zambia," Food Policy, Elsevier, vol. 34(4), pages 350-366, August.
    2. Robles, Miguel & Torero, Maximo & von Braun, Joachim, 2009. "When speculation matters:," Issue briefs 57, International Food Policy Research Institute (IFPRI).
    3. Asger Lunde & Peter R. Hansen, 2005. "A forecast comparison of volatility models: does anything beat a GARCH(1,1)?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(7), pages 873-889.
    4. Christopher Gilbert & Wyn Morgan, 2010. "Has food price volatility risen?," Department of Economics Working Papers 1002, Department of Economics, University of Trento, Italia.
    5. Minot, Nicholas, 2011. "Transmission of world food price changes to markets in Sub-Saharan Africa:," IFPRI discussion papers 1059, International Food Policy Research Institute (IFPRI).
    6. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    7. Alexander Sarris & Jamie Morrison (ed.), 2010. "Food Security in Africa," Books, Edward Elgar Publishing, number 13755.
    8. Benson, Todd & Minot, Nicholas & Pender, John & Robles, Miguel & von Braun, Joachim, 2008. "Global food crises: Monitoring and assessing impact to inform policy responses," Food policy reports 19, International Food Policy Research Institute (IFPRI).
    9. von Braun, Joachim & Torero, Maximo, 2009. "Implementing physical and virtual food reserves to protect the poor and prevent market failure:," Policy briefs 10, International Food Policy Research Institute (IFPRI).
    10. Byerlee, Derek & Jayne, T.S. & Myers, Robert J., 2006. "Managing food price risks and instability in a liberalizing market environment: Overview and policy options," Food Policy, Elsevier, vol. 31(4), pages 275-287, August.
    11. Prudencio, Y. Coffi & Al-Hassan, Ramatu, 1994. "The food security stabilization roles of cassava in Africa," Food Policy, Elsevier, vol. 19(1), pages 57-64, February.
    12. Chapoto, Antony & Jayne, Thomas S., 2009. "The Impacts of Trade Barriers and Market Interventions on Maize Price Predictability: Evidence from Eastern and Southern Africa," Food Security International Development Working Papers 56798, Michigan State University, Department of Agricultural, Food, and Resource Economics.
    13. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Minot, Nicholas, 2012. "Food price volatility in Africa: Has it really increased?:," IFPRI discussion papers 1239, International Food Policy Research Institute (IFPRI).
    2. Elodie Maître d'Hôtel & Tristan Le Cotty & Thomas Jayne, 2012. "Is a public regulation of food price volatility feasible in Africa? An arch approach in Kenya," Post-Print hal-00801361, HAL.
    3. Lu Yang & Shigeyuki Hamori, 2018. "Modeling The Dynamics Of International Agricultural Commodity Prices: A Comparison Of Garch And Stochastic Volatility Models," Annals of Financial Economics (AFE), World Scientific Publishing Co. Pte. Ltd., vol. 13(03), pages 1-20, September.
    4. Huang, Wen & Huang, Zhuo & Matei, Marius & Wang, Tianyi, 2012. "Price Volatility Forecast for Agricultural Commodity Futures: The Role of High Frequency Data," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 83-103, December.
    5. Berger, Jurij & Dalheimer, Bernhard & Brümmer, Bernhard, 2021. "Effects of variable EU import levies on corn price volatility," Food Policy, Elsevier, vol. 102(C).
    6. Takahashi, Makoto & Watanabe, Toshiaki & Omori, Yasuhiro, 2016. "Volatility and quantile forecasts by realized stochastic volatility models with generalized hyperbolic distribution," International Journal of Forecasting, Elsevier, vol. 32(2), pages 437-457.
    7. Harry-Paul Vander Elst, 2015. "FloGARCH: Realizing Long Memory and Asymmetries in Returns Valitility," Working Papers ECARES ECARES 2015-12, ULB -- Universite Libre de Bruxelles.
    8. Dutta, Shantanu & Essaddam, Naceur & Kumar, Vinod & Saadi, Samir, 2017. "How does electronic trading affect efficiency of stock market and conditional volatility? Evidence from Toronto Stock Exchange," Research in International Business and Finance, Elsevier, vol. 39(PB), pages 867-877.
    9. Charles, Amélie, 2010. "The day-of-the-week effects on the volatility: The role of the asymmetry," European Journal of Operational Research, Elsevier, vol. 202(1), pages 143-152, April.
    10. Frank, Johannes, 2023. "Forecasting realized volatility in turbulent times using temporal fusion transformers," FAU Discussion Papers in Economics 03/2023, Friedrich-Alexander University Erlangen-Nuremberg, Institute for Economics.
    11. Mittnik, Stefan & Robinzonov, Nikolay & Spindler, Martin, 2015. "Stock market volatility: Identifying major drivers and the nature of their impact," Journal of Banking & Finance, Elsevier, vol. 58(C), pages 1-14.
    12. repec:zbw:rwirep:0243 is not listed on IDEAS
    13. Nanying Wang & Jack E. Houston, 2016. "The Co-Movement between Non-GM and GM Soybean Prices in China: Evidence from Dalian Futures Market (2004-2014)," Applied Economics and Finance, Redfame publishing, vol. 3(4), pages 37-47, November.
    14. Siem Jan Koopman & André Lucas & Marcel Scharth, 2016. "Predicting Time-Varying Parameters with Parameter-Driven and Observation-Driven Models," The Review of Economics and Statistics, MIT Press, vol. 98(1), pages 97-110, March.
    15. Papantonis, Ioannis & Rompolis, Leonidas & Tzavalis, Elias, 2023. "Improving variance forecasts: The role of Realized Variance features," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1221-1237.
    16. Bernardi, Mauro & Costola, Michele, 2019. "High-dimensional sparse financial networks through a regularised regression model," SAFE Working Paper Series 244, Leibniz Institute for Financial Research SAFE.
    17. Efimova, Olga & Serletis, Apostolos, 2014. "Energy markets volatility modelling using GARCH," Energy Economics, Elsevier, vol. 43(C), pages 264-273.
    18. Koopman, Siem Jan & Jungbacker, Borus & Hol, Eugenie, 2005. "Forecasting daily variability of the S&P 100 stock index using historical, realised and implied volatility measurements," Journal of Empirical Finance, Elsevier, vol. 12(3), pages 445-475, June.
    19. Lars Stentoft, 2008. "Option Pricing using Realized Volatility," CREATES Research Papers 2008-13, Department of Economics and Business Economics, Aarhus University.
    20. Elodie Maître d'Hôtel & Tristan Le Cotty & Thom Jayne, 2013. "Trade Policy Inconsistency and Maize Price Volatility: An ARCH Approach in Kenya," African Development Review, African Development Bank, vol. 25(4), pages 607-620, December.
    21. Chrétien, Stéphane & Coggins, Frank, 2010. "Performance and conservatism of monthly FHS VaR: An international investigation," International Review of Financial Analysis, Elsevier, vol. 19(5), pages 323-333, December.

    More about this item

    Keywords

    Agricultural and Food Policy; Food Security and Poverty;

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:ags:iaae12:134146. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: AgEcon Search (email available below). General contact details of provider: https://edirc.repec.org/data/iaaeeea.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.