IDEAS home Printed from https://ideas.repec.org/p/ags/gewi06/14947.html
   My bibliography  Save this paper

Zur Quantifizierung Des Basisrisikos Von Wetterderivaten

Author

Listed:
  • Musshoff, Oliver
  • Odening, Martin
  • Xu, Wei

Abstract

Es ist seit langem bekannt, dass das Wetter den Hauptunsicherheitsfaktor in der pflanzlichen Produktion darstellt. Seit einiger Zeit wird der Einsatz von Wetterderivaten zur Absicherung gegen wetterbedingte Ertragsschwankungen diskutiert. In diesem Beitrag wird am Beispiel ei-nes getreideproduzierenden Betriebes in Brandenburg unter Verwendung von realen Ertrags- und Wetterdaten mit Hilfe einer stochastischen Simulation die risikomindernde Wirkung quan-tifiziert, die durch den Einsatz von Niederschlagsoptionen erzielt werden kann. Dabei wird die Hedging-Effektivität durch das Kontraktdesign (Index, Strike-Preis, Tick-Size) gesteuert. Das Basisrisiko der Produktion und das geografische Basisrisiko verbleiben jedoch in jedem Fall beim Landwirt. Ziel ist es, beide Basisrisiken zu separieren und in ihrer Höhe auszuweisen. Dies erlaubt Rückschlüsse für die Gestaltung von Wetterderivaten. Somit ist die hier behandelte Fragestellung sowohl für Landwirte als auch für potenzielle Anbieter von Wetterderivaten rele-vant.

Suggested Citation

  • Musshoff, Oliver & Odening, Martin & Xu, Wei, 2006. "Zur Quantifizierung Des Basisrisikos Von Wetterderivaten," 46th Annual Conference, Giessen, Germany, October 4-6, 2006 14947, German Association of Agricultural Economists (GEWISOLA).
    • Handle: RePEc:ags:gewi06:14947
    DOI: 10.22004/ag.econ.14947
    as

    Download full text from publisher

    File URL: https://ageconsearch.umn.edu/record/14947/files/cp06mu01.pdf
    Download Restriction: no
    File URL: https://libkey.io/10.22004/ag.econ.14947?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. Richards, Timothy J. & Manfredo, Mark R. & Sanders, Dwight R., 2004. "Pricing Weather Derivatives," Working Papers 28536, Arizona State University, Morrison School of Agribusiness and Resource Management.
    2. Jewson,Stephen & Brix,Anders With contributions by-Name:Ziehmann,Christine, 2005. "Weather Derivative Valuation," Cambridge Books, Cambridge University Press, number 9780521843713.
    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.
    4. 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.
    5. 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.
    6. Dwight R. Sanders, 2004. "Pricing Weather Derivatives," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(4), pages 1005-1017.
    7. Manfredo, Mark R. & Richards, Timothy J., 2005. "Hedging Yield with Weather Derivatives: A Role for Options," 2005 Annual meeting, July 24-27, Providence, RI 19369, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    8. Berg, Ernst & Schmitz, Bernhard & Starp, Michael & Trenkel, Hermann, 2005. "Wetterderivate: Ein Instrument im Risikomanagement für die Landwirtschaft?," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 54(03), pages 1-13.
    9. Martin Odening & Oliver Musshoff & Wei Xu, 2007. "Analysis of rainfall derivatives using daily precipitation models: opportunities and pitfalls," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 67(1), pages 135-156, May.
    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. Vilhelm, V. & Špička, J. & Valder, A., 2015. "Public Support of Agricultural Risk Management – Situation and Prospects," AGRIS on-line Papers in Economics and Informatics, Czech University of Life Sciences Prague, Faculty of Economics and Management, vol. 7(2), pages 1-10, June.

    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. Zhang, Li, 2008. "Three essays on agricultural risk and insurance," ISU General Staff Papers 2008010108000016857, Iowa State University, Department of Economics.
    2. Markus Stowasser, 2011. "Modelling rain risk: a multi-order Markov chain model approach," Journal of Risk Finance, Emerald Group Publishing, vol. 13(1), pages 45-60, December.
    3. Doms, Juliane, 2017. "Put, call or strangle? About the challenges in designing weather index insurances to hedge performance risk in agriculture," 57th Annual Conference, Weihenstephan, Germany, September 13-15, 2017 261990, German Association of Agricultural Economists (GEWISOLA).
    4. Bucheli, Janic & Dalhaus, Tobias & Finger, Robert, 2022. "Temperature effects on crop yields in heat index insurance," Food Policy, Elsevier, vol. 107(C).
    5. 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.
    6. Musshoff, Oliver & Hirschauer, Norbert, 2008. "Hedging von Mengenrisiken in der Landwirtschaft – Wie teuer dürfen „ineffektive“ Wetterderivate sein?," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 57(05), pages 1-12.
    7. Turvey, Calum G. & Chantarat, Sommarat, 2006. "Weather-Linked Bonds," 2006 Agricultural and Rural Finance Markets in Transition, October 2-3, 2006, Washington, DC 133091, Regional Research Committee NC-1014: Agricultural and Rural Finance Markets in Transition.
    8. Boyle, Colin F.H. & Haas, Jannik & Kern, Jordan D., 2021. "Development of an irradiance-based weather derivative to hedge cloud risk for solar energy systems," Renewable Energy, Elsevier, vol. 164(C), pages 1230-1243.
    9. Xu, Wei & Odening, Martin & Musshoff, Oliver, 2007. "Indifference Pricing of Weather Insurance," 101st Seminar, July 5-6, 2007, Berlin Germany 9267, European Association of Agricultural Economists.
    10. Mußhoff, Oliver & Grüner, Sven & Hirschauer, Norbert, 2014. "Muss man begrenzte Rationalität und heuristisches Entscheiden bei der Erklärung für die Verbreitung von Wetterindexversicherungen in der Landwirtschaft berücksichtigen? – Eine Untersuchung auf d," Journal of International Agricultural Trade and Development, Journal of International Agricultural Trade and Development, vol. 63(2).
    11. Chung, Wonho, 2013. "Reducing the Social Cost of Federal Crop Insurance: A Role for US Government Hedging with Weather Derivatives," Journal of Rural Development/Nongchon-Gyeongje, Korea Rural Economic Institute, vol. 36(2), pages 1-26, August.
    12. Turvey, Calum G. & Norton, Michael, 2008. "An Internet-Based Tool for Weather Risk Management," Agricultural and Resource Economics Review, Cambridge University Press, vol. 37(1), pages 63-78, April.
    13. Woodard, Joshua D. & Garcia, Philip, 2008. "Weather Derivatives, Spatial Aggregation, and Systemic Risk: Implications for Reinsurance Hedging," Journal of Agricultural and Resource Economics, Western Agricultural Economics Association, vol. 33(1), pages 1-18, April.
    14. Marcos Gallacher & Daniel Lema & Laura Gastaldi & Alejandro Galetto, 2016. "Climate variability and agricultural production in argentina: the role of risk-transfer mechanisms," Ensayos de Política Económica, Departamento de Investigación Francisco Valsecchi, Facultad de Ciencias Económicas, Pontificia Universidad Católica Argentina., vol. 2(4), pages 11-38, Octubre.
    15. Mußhoff, Oliver & Grüner, Sven & Hirschauer, Norbert, 2014. "Muss man begrenzte Rationalität und heuristisches Entscheiden bei der Erklärung für die Verbreitung von Wetterindexversicherungen in der Landwirtschaft berücksichtigen? – Eine Untersuchung auf der Bas," German Journal of Agricultural Economics, Humboldt-Universitaet zu Berlin, Department for Agricultural Economics, vol. 63(02), pages 1-14, March.
    16. Leif Erec Heimfarth & Oliver Musshoff, 2011. "Weather index‐based insurances for farmers in the North China Plain," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 71(2), pages 218-239, August.
    17. Xu, Wei & Odening, Martin & Musshoff, Oliver, 2008. "Optimal Design of Weather Bonds," 2008 Annual Meeting, July 27-29, 2008, Orlando, Florida 6781, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    18. Musshoff, Oliver & Odening, Martin & Xu, Wei, 2005. "Zur Reduzierung niederschlagsbedingter Produktionsrisiken mit Wetterderivaten," Working Paper Series 18822, Humboldt University Berlin, Department of Agricultural Economics.
    19. A. Alexandridis & A. Zapranis, 2013. "Wind Derivatives: Modeling and Pricing," Computational Economics, Springer;Society for Computational Economics, vol. 41(3), pages 299-326, March.
    20. Angelos Prentzas & Thomas Bournaris & Stefanos Nastis & Christina Moulogianni & George Vlontzos, 2024. "Enhancing Sustainability through Weather Derivative Option Contracts: A Risk Management Tool in Greek Agriculture," Sustainability, MDPI, vol. 16(17), pages 1-18, August.

    More about this item

    Keywords

    Risk and Uncertainty;

    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:gewi06:14947. 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/gewisea.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.