IDEAS home Printed from https://ideas.repec.org/a/ags/csaeac/172543.html
   My bibliography  Save this article

Risk reduction in maize production using weather put option

Author

Listed:
  • Markovic, Todor
  • Martinovska-Stojcheska, Aleksandra
  • Ivanović, Sanjin

Abstract

The aim of this paper is to provide the basic theoretical assumptions about the weather derivatives and to quantify the risk reducing effect of rainfall put-options by applying a stochastic simulation. For this simulation we analyzed the yield data obtained from the maize producing farm located in the central part of Srem (Serbia). A nearby weather station contributed the meteorological data. To attain this goal, we analyze and compare three cases: Revenue without put-option, revenue with put-option, with basis risk and revenue with put-option, without basis risk. In comparison with having no rainfall put-option, the farmer can hedge 10.000 RSD ha-1 with the put-option, considering the basis risk, and even 20.000 RSD ha-1 when not considering basis risk. Consequently the hedging efficiency of the rainfall put-option is substantial in our example.....Cilj ovoga rada jest ponuditi temeljne teoretske pretpostavke u vezi s vremenskim derivatima i učinkom vremenske prodajne opcije na temelju količine padalina na smanjenja rizika primjenom stohastičke simulacije. Za potrebe simulacije provedena je analiza podataka o prinosu dobivenih s poljoprivrednog dobra na kojem se proizvodi kukuruz, a koje se nalazi u središnjem Srijemu (Srbija). Meteorološka postaja, smještena u neposrednoj blizini, bila je izvor meteoroloških podataka. Kako bi smo ostvarili cilj, analizirali smo i usporedili tri slučaja: prihod bez primjene vremenske prodajne opcije, prihod uz primjenu vremenske prodajne opcije s baznim rizikom, i prihod uz primjenu vremenske prodajne opcije bez baznog rizika. U odnosu na neprimjenjivanje vremenske prodajne opcije, poljoprivredni proizvođač može zaštititi od rizika 10,000 RSD haˉ¹ uz primjenu vremenske prodajne opcije s baznim rizikom, odnosnlo 20,000RSD haˉ¹ bez baznog rizika. Iz toga slijedi da učinkovitost eliminacije rizika primjenom vremenske prodajne opcije na temelju količine padalina ima značajnu ulogu u našem primjeru

Suggested Citation

  • Markovic, Todor & Martinovska-Stojcheska, Aleksandra & Ivanović, Sanjin, 2013. "Risk reduction in maize production using weather put option," Agroeconomia Croatica, Croatian Society of Agricultural Economists, vol. 3(01), pages 1-5, September.
    • Handle: RePEc:ags:csaeac:172543
    DOI: 10.22004/ag.econ.172543
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/172543/files/5.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.172543?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. Calum G. Turvey, 2001. "Weather Derivatives for Specific Event Risks in Agriculture," Review of Agricultural Economics, Agricultural and Applied Economics Association, vol. 23(2), pages 333-351.
    2. Vedenov, Dmitry V. & Barnett, Barry J., 2004. "Efficiency of Weather Derivatives as Primary Crop Insurance Instruments," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 29(3), pages 1-17, December.
    3. Musshoff, Oliver & Odening, Martin & Xu, Wei, 2005. "Zur Bewertung von Wetterderivaten als innovative Risikomanagementinstrumente in der Landwirtschaft," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 54(04), pages 1-13.
    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. Mußhoff, O. & Odenin, M. & Wei, X., 2007. "Zur Quantifizierung des Basisrisikos von Wetterderivaten," Proceedings “Schriften der Gesellschaft für Wirtschafts- und Sozialwissenschaften des Landbaues e.V.”, German Association of Agricultural Economists (GEWISOLA), vol. 42, March.
    2. Markovic, Todor & Martinovska-Stojcheska, Aleksandra & Ivanovic, Sanjin, 2012. "Risk Reduction In Corn Production With Weather Put Option," 132nd Seminar, October 25-27, 2012, Skopje, Republic of Macedonia 139496, European Association of Agricultural Economists.
    3. Mengmeng Qiang & Manhong Shen & Guanjun Xia, 2023. "The effectiveness of weather index insurance in managing mariculture production risk," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 67(2), pages 245-262, April.
    4. Marcos Gallacher & Daniel Lema & Alejandro Galetto & Laura Gastaldi, 2015. "Climate variability and agricultural production in Argentina: the role of risk-transfer mechanisms," CEMA Working Papers: Serie Documentos de Trabajo. 583, Universidad del CEMA.
    5. Baojing Sun & Changhao Guo & G. Cornelis van Kooten, 2013. "Weather Derivatives and Crop Insurance in China," Working Papers 2013-02, University of Victoria, Department of Economics, Resource Economics and Policy Analysis Research Group.
    6. Zhang, Li, 2008. "Three essays on agricultural risk and insurance," ISU General Staff Papers 2008010108000016857, Iowa State University, Department of Economics.
    7. Kleiman, Rachel M. & Characklis, Gregory W. & Kern, Jordan D., 2022. "Managing weather- and market price-related financial risks in algal biofuel production," Renewable Energy, Elsevier, vol. 200(C), pages 111-124.
    8. Baojing Sun & G. Cornelis van Kooten, 2014. "Financial Weather Options for Crop Production," Working Papers 2014-03, University of Victoria, Department of Economics, Resource Economics and Policy Analysis Research Group.
    9. Sun, Baojing, 2017. "Financial Weather Derivatives for Corn Production in Northeastern China: Modelling the Underlying Weather Index," Working Papers 257083, University of Victoria, Resource Economics and Policy.
    10. Barnett, Barry J. & Barrett, Christopher B. & Skees, Jerry R., 2008. "Poverty Traps and Index-Based Risk Transfer Products," World Development, Elsevier, vol. 36(10), pages 1766-1785, October.
    11. Sun, Baojing, 2017. "Financial Weather Derivatives for Corn Production in Northeastern China: Modelling the underlying Weather Index," Working Papers 263197, University of Victoria, Resource Economics and Policy.
    12. Bucheli, Janic & Dalhaus, Tobias & Finger, Robert, 2022. "Temperature effects on crop yields in heat index insurance," Food Policy, Elsevier, vol. 107(C).
    13. Wienand Kölle & Andrea Martínez Salgueiro & Matthias Buchholz & Oliver Musshoff, 2021. "Can satellite‐based weather index insurance improve the hedging of yield risk of perennial non‐irrigated olive trees in Spain?," Australian Journal of Agricultural and Resource Economics, Australian Agricultural and Resource Economics Society, vol. 65(1), pages 66-93, January.
    14. Juárez-Torres, Miriam & Sánchez-Aragón, Leonardo & Vedenov, Dmitry, 2017. "Weather Derivatives and Water Management in Developing Countries: An Application for an Irrigation District in Central Mexico," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 42(2), May.
    15. Buchholz, Matthias & Musshoff, Oliver, 2014. "The role of weather derivatives and portfolio effects in agricultural water management," Agricultural Water Management, Elsevier, vol. 146(C), pages 34-44.
    16. Schmidt, Lorenz & Odening, Martin & Schlanstein, Johann & Ritter, Matthias, 2021. "Estimation of the Farm-Level Yield-Weather-Relation Using Machine Learning," 61st Annual Conference, Berlin, Germany, September 22-24, 2021 317075, German Association of Agricultural Economists (GEWISOLA).
    17. Alexis Berg & Philippe Quirion & Benjamin Sultan, 2009. "Weather-index drought insurance in Burkina-Faso: assessment of its potential interest to farmers," Post-Print hal-00520893, HAL.
    18. Berg, Alexis & Quirion, Philippe & Sultan, Benjamin, 2018. "Weather-index drought insurance in Burkina-Faso: assessment of its potential interest to farmers," OSF Preprints dsmqz_v1, Center for Open Science.
    19. Pelka, Niels & Weber, Ron & Musshoff, Oliver, 2015. "Does weather matter? How rainfall shocks affect credit risk in agricultural micro-finance," 2015 Conference, August 9-14, 2015, Milan, Italy 212617, International Association of Agricultural Economists.
    20. Andrea Martínez Salgueiro & Maria-Antonia Tarrazon-Rodon, 2021. "Weather derivatives to mitigate meteorological risks in tourism management: An empirical application to celebrations of Comunidad Valenciana (Spain)," Tourism Economics, , vol. 27(4), pages 591-613, June.

    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:csaeac:172543. 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/haeddea.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.