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Weather derivatives to mitigate meteorological risks in tourism management: An empirical application to celebrations of Comunidad Valenciana (Spain)

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  • Andrea Martínez Salgueiro

    (16719Universitat Autònoma de Barcelona (UAB), Spain)

  • Maria-Antonia Tarrazon-Rodon

    (16719Universitat Autònoma de Barcelona (UAB), Spain)

Abstract

This article explores the possibility of implementing weather derivatives in cultural events through an empirical application to celebrations of Comunidad Valenciana (Spain). Temperature- and rainfall-based options geared to the three counties of this Autonomous Community are proposed to mitigate the risk exposure of this event. First, the contracts are priced through the Index Value Simulation and Daily Simulation techniques, which rely on Monte Carlo simulations. Next, they are used to design realistic hedging strategies, which are evaluated under different meteorological scenarios. The degree of geographical basis risk affecting this region, as measured by the root mean square error, is also assessed since it is a common issue refraining the application of weather derivatives. The outcomes attained emphasize the high hedging potential of the suggested tools and indicate the appropriateness of considering, on a case-by-case basis, the possibility of using a combination of derivatives geared to nearby stations as a solution to mitigate basis risk exposure.

Suggested Citation

  • 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.
    • Handle: RePEc:sae:toueco:v:27:y:2021:i:4:p:591-613
    DOI: 10.1177/1354816619890751
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    1. Juliusz Pres, 2009. "Measuring Non-Catastrophic Weather Risks for Businesses," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 34(3), pages 425-439, July.
    2. Gunther Leobacher & Philip Ngare, 2011. "On Modelling and Pricing Rainfall Derivatives with Seasonality," Applied Mathematical Finance, Taylor & Francis Journals, vol. 18(1), pages 71-91.
    3. 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.
    4. Jewson,Stephen & Brix,Anders With contributions by-Name:Ziehmann,Christine, 2005. "Weather Derivative Valuation," Cambridge Books, Cambridge University Press, number 9780521843713.
    5. Joshua D. Woodard & Philip Garcia, 2008. "Basis risk and weather hedging effectiveness," Agricultural Finance Review, Emerald Group Publishing Limited, vol. 68(1), pages 99-117, May.
    6. Anja Soboll & Tobias Klier & Stefan Heumann, 2012. "The Prospective Impact of Climate Change on Tourism and Regional Economic Development: A Simulation Study for Bavaria," Tourism Economics, , vol. 18(1), pages 139-157, February.
    7. Iveta Malasevska & Erik Haugom & Gudbrand Lien, 2017. "Modelling and forecasting alpine skier visits," Tourism Economics, , vol. 23(3), pages 669-679, May.
    8. Brenda López Cabrera & Martin Odening & Matthias Ritter, 2013. "Pricing Rainfall Derivatives at the CME," SFB 649 Discussion Papers SFB649DP2013-005, Sonderforschungsbereich 649, Humboldt University, Berlin, Germany.
    9. Gunter Meissner & James Burke, 2011. "Can we use the Black-Scholes-Merton model to value temperature options?," International Journal of Financial Markets and Derivatives, Inderscience Enterprises Ltd, vol. 2(4), pages 298-313.
    10. Chiang-Ming Chen & Yu-Chen Lin & Eldon Y. Li & Chia-Chang Liu, 2017. "Weather uncertainty effect on tourism demand," Tourism Economics, , vol. 23(2), pages 469-474, March.
    11. Melanie Cao & Jason Wei, 2004. "Weather derivatives valuation and market price of weather risk," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 24(11), pages 1065-1089, November.
    12. Peter Alaton & Boualem Djehiche & David Stillberger, 2002. "On modelling and pricing weather derivatives," Applied Mathematical Finance, Taylor & Francis Journals, vol. 9(1), pages 1-20.
    13. Reboredo, Juan C., 2011. "How do crude oil prices co-move?: A copula approach," Energy Economics, Elsevier, vol. 33(5), pages 948-955, September.
    14. Esther Gehrke, 2014. "The Insurability Framework Applied to Agricultural Microinsurance: What Do We Know, What Can We Learn?," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 39(2), pages 264-279, April.
    15. 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.
    16. Claudia Schwirplies & Andreas Ziegler, 2017. "Adaptation of future travel habits to climate change," Tourism Economics, , vol. 23(6), pages 1275-1295, September.
    17. 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.
    18. Bank, Matthias & Wiesner, Robert, 2011. "Determinants of weather derivatives usage in the Austrian winter tourism industry," Tourism Management, Elsevier, vol. 32(1), pages 62-68.
    19. 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.
    20. Dwight R. Sanders, 2004. "Pricing Weather Derivatives," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(4), pages 1005-1017.
    21. Hung‐Hsi Huang & Yung‐Ming Shiu & Pei‐Syun Lin, 2008. "HDD and CDD option pricing with market price of weather risk for Taiwan," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 28(8), pages 790-814, August.
    22. 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.
    23. Jonathan Aylen & Kevin Albertson & Gina Cavan, 2014. "The impact of weather and climate on tourist demand: the case of Chester Zoo," Climatic Change, Springer, vol. 127(2), pages 183-197, November.
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    Cited by:

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