IDEAS home Printed from https://ideas.repec.org/p/ags/aaea14/170391.html
   My bibliography  Save this paper

Can the Agricultural Market Information System (AMIS) help to reduce food price volatility?

Author

Listed:
  • Brockhaus, Jan
  • Kalkuhl, Matthias

Abstract

We investigate to which extent the Agricultural Market Information System (AMIS), set up by the G20 in 2011, can help to reduce food price volatility. Linking uncertainty about fundamentals and volatility in a theoretical model, we show that the uncertainty provides an upper limit for the volatility. In our qualitative analysis we argue that AMIS may help to foster desired price changes and to prevent undesired price changes but at the same time its success in doing so has been limited until now because countries remain reluctant to share their data and the private sector remains largely excluded. Our quantitative analysis shows that the estimations of fundamentals from different sources deviate a lot, especially for stocks. Over time, different estimations seem to comove rather than to converge (for the marketing year 2012/13). With the help of a panel regression we find correlations between food price volatility and oil price volatility, stock-to-use ratios, productions shocks, and uncertainty of the fundamentals.

Suggested Citation

  • Brockhaus, Jan & Kalkuhl, Matthias, 2014. "Can the Agricultural Market Information System (AMIS) help to reduce food price volatility?," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170391, Agricultural and Applied Economics Association.
  • Handle: RePEc:ags:aaea14:170391
    DOI: 10.22004/ag.econ.170391
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/170391/files/poster_combined.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.170391?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
    ---><---

    References listed on IDEAS

    as
    1. George Bittlingmayer, 1998. "Output, Stock Volatility, and Political Uncertainty in a Natural Experiment: Germany, 1880-1940," Journal of Finance, American Finance Association, vol. 53(6), pages 2243-2257, December.
    2. Robert J. Shiller, 2003. "From Efficient Markets Theory to Behavioral Finance," Journal of Economic Perspectives, American Economic Association, vol. 17(1), pages 83-104, Winter.
    3. Mu, Xiaoyi, 2007. "Weather, storage, and natural gas price dynamics: Fundamentals and volatility," Energy Economics, Elsevier, vol. 29(1), pages 46-63, January.
    4. Ivo Arnold & Evert Vrugt, 2008. "Fundamental uncertainty and stock market volatility," Applied Financial Economics, Taylor & Francis Journals, vol. 18(17), pages 1425-1440.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Matthias Kalkuhl & Mekbib Haile & Lukas Kornher & Marta Kozicka, 2015. "Cost-benefit framework for policy action to navigate food price spikes. FOODSECURE Working Paper No 33," FOODSECURE Working papers 33, LEI Wageningen UR.

    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. Bu, Hui, 2014. "Effect of inventory announcements on crude oil price volatility," Energy Economics, Elsevier, vol. 46(C), pages 485-494.
    2. R. Andergassen, 2003. "Rational destabilising speculation and the riding of bubbles," Working Papers 475, Dipartimento Scienze Economiche, Universita' di Bologna.
    3. Florian Meier, 2020. "The Age of Cheap Money and Passive Investing: Are Pro Forma Earnings Value Relevant?," Journal of Finance and Investment Analysis, SCIENPRESS Ltd, vol. 9(2), pages 1-1.
    4. Robert J. Shiller, 2007. "Understanding recent trends in house prices and homeownership," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 89-123.
    5. Zabolotnyy, Serihiy & Wasilewski, Mirosław, 2018. "Operating and financial leverage as risk measures in agricultural companies," Problems of Agricultural Economics / Zagadnienia Ekonomiki Rolnej 276377, Institute of Agricultural and Food Economics - National Research Institute (IAFE-NRI).
    6. Kubin, Ingrid & Zörner, Thomas O. & Gardini, Laura & Commendatore, Pasquale, 2019. "A credit cycle model with market sentiments," Structural Change and Economic Dynamics, Elsevier, vol. 50(C), pages 159-174.
    7. Thomas Delcey, 2019. "Samuelson vs Fama on the Efficient Market Hypothesis: The Point of View of Expertise [Samuelson vs Fama sur l’efficience informationnelle des marchés financiers : le point de vue de l’expertise]," Post-Print hal-01618347, HAL.
    8. Ariane Szafarz, 2015. "Market Efficiency and Crises:Don’t Throw the Baby out with the Bathwater," Bankers, Markets & Investors, ESKA Publishing, issue 139, pages 20-26, November-.
    9. Devine, Mel T. & Russo, Marianna, 2019. "Liquefied natural gas and gas storage valuation: Lessons from the integrated Irish and UK markets," Applied Energy, Elsevier, vol. 238(C), pages 1389-1406.
    10. Paul Welfens, 2014. "Issues of modern macroeconomics: new post-crisis perspectives on the world economy," International Economics and Economic Policy, Springer, vol. 11(4), pages 481-527, December.
    11. Vassilios Babalos & Mehmet Balcilar & Rangan Gupta, 2014. "Revisiting Herding Behavior in REITs: A Regime-Switching Approach," Working Papers 201448, University of Pretoria, Department of Economics.
    12. Mohamed KHALED, 2018. "apport du biais d’excès de confiance à l’explication de la volatilité des rendements du marché des actions algérien," Journal of Academic Finance, RED research unit, university of Gabes, Tunisia, vol. 9(2), pages 36-46, December.
    13. Salois, Matthew & Moss, Charles, 2010. "An Information Approach to the Dynamics in Farm Income: Implications for Farmland Markets," MPRA Paper 26850, University Library of Munich, Germany.
    14. John Sabelhaus, 2005. "Alternative Methods for Projecting Equity Returns: Implications for Evaluating Social Security Reform Proposals," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 8(1), pages 43-63, March.
    15. Queirós, Francisco, 2024. "Asset bubbles and product market competition," Theoretical Economics, Econometric Society, vol. 19(1), January.
    16. Misund, Bård & Oglend, Atle, 2016. "Supply and demand determinants of natural gas price volatility in the U.K.: A vector autoregression approach," Energy, Elsevier, vol. 111(C), pages 178-189.
    17. Bellonia Antonella & Passaretti Tommaso & Visconti Raffaele, 2013. "Seasonality in Equity Rising on Stock Markets. Windows of Opportunity? Empirical Evidence from China, India, Brazil and South Africa," Journal of Knowledge Management, Economics and Information Technology, ScientificPapers.org, vol. 3(4), pages 1-1, August.
    18. Stephen Bell & John Quiggin, 2006. "Asset Price Instability and Policy Responses: The Legacy of Liberalization," Journal of Economic Issues, Taylor & Francis Journals, vol. 40(3), pages 629-649, September.
    19. Martin T. Bohl & Badye Essid & Pierre L. Siklos, 2018. "Short-Selling Bans and the Global Financial Crisis: Are They Interconnected?," Applied Economics Quarterly (formerly: Konjunkturpolitik), Duncker & Humblot GmbH, Berlin, vol. 64(2), pages 159-177.
    20. Vasileiou, Evangelos, 2018. "Is the turn of the month effect an “abnormal normality”? Controversial findings, new patterns and…hidden signs(?)," Research in International Business and Finance, Elsevier, vol. 44(C), pages 153-175.

    More about this item

    Keywords

    Agricultural and Food Policy; Food Security and Poverty; International Relations/Trade;
    All these keywords.

    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:aaea14:170391. 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/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.