IDEAS home Printed from https://ideas.repec.org/p/ags/ifma07/345377.html
   My bibliography  Save this paper

PR - Food Security: When To Buy Derivative Instruments

Author

Listed:
  • Geyser, Mariëtte
  • Cutts, Michela

Abstract

Commodity prices are notoriously volatile which is a major source of instability and uncertainty for commodity-dependent developing countries. Commodity price volatility affects governments, producers (farmers), traders, processors, and local financial institutions financing production inputs in these countries. There have been several attempts to deal with commodity price volatility. A number and variety of international and national institutions and programs were designed for this purpose. Most of the earlier attempts concentrated in trying to stabilize prices through the use of buffer stocks, buffer funds, government intervention in commodity markets, and international commodity agreements. These schemes have not proven satisfactory in dealing with commodity price instability. Academics and policy makers began to emphasize the distinction between programs that attempted to alter the price distribution, either domestically or internationally, with programs that deal with market uncertainty using market-based solutions. The rise in market-based commodity risk management instruments has been significant since the development of derivative instruments. The aim of this study is to determine the optimal time for African countries to buy grain by making use of call option contracts. Chicago Board of Trade contracts and contracts traded on the South African Futures Exchange were compared to determine which exchange would be appropriate, and the optimal time in which the contract should be purchased. The article starts by looking at droughts in Southern Africa, ways available to insure and/or hedge against supply risk. Thereafter, agricultural commodity market variability and volatility were analyzed to end with the determination of an optimal hedging period. The study goes on to assess the optimal timing for Tunisia to hedge their supply risk using the South African Futures Exchange as compared to the Chicago Board of Trade.

Suggested Citation

  • Geyser, Mariëtte & Cutts, Michela, 2007. "PR - Food Security: When To Buy Derivative Instruments," 16th Congress, Cork, Ireland, July 15-20, 2007 345377, International Farm Management Association.
  • Handle: RePEc:ags:ifma07:345377
    DOI: 10.22004/ag.econ.345377
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/345377/files/07GeyserCutts.pdf
    Download Restriction: no

    File URL: https://libkey.io/10.22004/ag.econ.345377?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. Koray, Faik & Lastrapes, William D, 1989. "Real Exchange Rate Volatility and U.S. Bilateral Trade: A VAR Approach," The Review of Economics and Statistics, MIT Press, vol. 71(4), pages 708-712, November.
    2. Meyer, Ferdinand H. & Westhoff, Patrick C. & Binfield, Julian C.R. & Kirsten, Johann F., 2006. "Model closure and price formation under switching grain market regimes in South Africa," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 45(4), pages 1-12, December.
    3. Skees, Jerry R., 2000. "A role for capital markets in natural disasters: a piece of the food security puzzle," Food Policy, Elsevier, vol. 25(3), pages 365-378, June.
    4. Black, Fischer & Scholes, Myron S, 1973. "The Pricing of Options and Corporate Liabilities," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 637-654, May-June.
    5. Georg Zimmermann & Ralph Neuneier & Ralph Grothmann, 2001. "Multi-Agent Market Modeling Of Foreign Exchange Rates," Advances in Complex Systems (ACS), World Scientific Publishing Co. Pte. Ltd., vol. 4(01), pages 29-43.
    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. Geyser, Mariette & Cutts, Michela, 2007. "SAFEX maize price volatility scrutinised," Agrekon, Agricultural Economics Association of South Africa (AEASA), vol. 46(3), pages 1-15, September.
    2. Ben Abdallah, Skander & Lasserre, Pierre, 2016. "Asset retirement with infinitely repeated alternative replacements: Harvest age and species choice in forestry," Journal of Economic Dynamics and Control, Elsevier, vol. 70(C), pages 144-164.
    3. Kirill Ilinski, 1999. "How to account for virtual arbitrage in the standard derivative pricing," Papers cond-mat/9902047, arXiv.org.
    4. Zhao, Yingxue & Yang, Liu & Cheng, T.C.E. & Ma, Lijun & Shao, Xinjian, 2013. "A value-based approach to option pricing: The case of supply chain options," International Journal of Production Economics, Elsevier, vol. 143(1), pages 171-177.
    5. Tang, Cheng Yong & Chen, Song Xi, 2009. "Parameter estimation and bias correction for diffusion processes," Journal of Econometrics, Elsevier, vol. 149(1), pages 65-81, April.
    6. d’Amato, Maurizio & Zrobek, Sabina & Renigier Bilozor, Malgorzata & Walacik, Marek & Mercadante, Giuseppe, 2019. "Valuing the effect of the change of zoning on underdeveloped land using fuzzy real option approach," Land Use Policy, Elsevier, vol. 86(C), pages 365-374.
    7. Audrino, Francesco & Fengler, Matthias R., 2015. "Are classical option pricing models consistent with observed option second-order moments? Evidence from high-frequency data," Journal of Banking & Finance, Elsevier, vol. 61(C), pages 46-63.
    8. Kau, James B. & Keenan, Donald C., 1999. "Patterns of rational default," Regional Science and Urban Economics, Elsevier, vol. 29(6), pages 765-785, November.
    9. Carol Alexandra & Leonardo M. Nogueira, 2005. "Optimal Hedging and Scale Inavriance: A Taxonomy of Option Pricing Models," ICMA Centre Discussion Papers in Finance icma-dp2005-10, Henley Business School, University of Reading, revised Nov 2005.
    10. William R. Morgan, 2023. "Finance Must Be Defended: Cybernetics, Neoliberalism and Environmental, Social, and Governance (ESG)," Sustainability, MDPI, vol. 15(4), pages 1-21, February.
    11. Martin Gremm, 2016. "Global Gauge Symmetries, Risk-Free Portfolios, and the Risk-Free Rate," Papers 1605.03551, arXiv.org.
    12. Ali Dardour, 2008. "Les déterminants de la rémunération des dirigeants des sociétés cotées en France," Post-Print halshs-00522506, HAL.
    13. Nielsen, Morten Ørregaard & Frederiksen, Per, 2008. "Finite sample accuracy and choice of sampling frequency in integrated volatility estimation," Journal of Empirical Finance, Elsevier, vol. 15(2), pages 265-286, March.
    14. Filipe Fontanela & Antoine Jacquier & Mugad Oumgari, 2019. "A Quantum algorithm for linear PDEs arising in Finance," Papers 1912.02753, arXiv.org, revised Feb 2021.
    15. Jean-Philippe Aguilar, 2021. "The value of power-related options under spectrally negative Lévy processes," Review of Derivatives Research, Springer, vol. 24(2), pages 173-196, July.
    16. Norden, Lars, 2003. "Asymmetric option price distribution and bid-ask quotes: consequences for implied volatility smiles," Journal of Multinational Financial Management, Elsevier, vol. 13(4-5), pages 423-441, December.
    17. Arismendi, Juan & Genaro, Alan De, 2016. "A Monte Carlo multi-asset option pricing approximation for general stochastic processes," Chaos, Solitons & Fractals, Elsevier, vol. 88(C), pages 75-99.
    18. Göncü, Ahmet & Karahan, Mehmet Oğuz & Kuzubaş, Tolga Umut, 2016. "A comparative goodness-of-fit analysis of distributions of some Lévy processes and Heston model to stock index returns," The North American Journal of Economics and Finance, Elsevier, vol. 36(C), pages 69-83.
    19. Kabir, Md. Nurul & Worthington, Andrew C., 2017. "The ‘competition–stability/fragility’ nexus: A comparative analysis of Islamic and conventional banks," International Review of Financial Analysis, Elsevier, vol. 50(C), pages 111-128.
    20. Leluc, Rémi & Portier, François & Zhuman, Aigerim & Segers, Johan, 2023. "Speeding up Monte Carlo Integration: Control Neighbors for Optimal Convergence," LIDAM Discussion Papers ISBA 2023019, Université catholique de Louvain, Institute of Statistics, Biostatistics and Actuarial Sciences (ISBA).

    More about this item

    Keywords

    Food Security and Poverty;

    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:ifma07:345377. 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/ifmaaea.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.