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Spatial-Temporal Modelling of Temperature for Pricing Temperature Index Insurance

Author

Listed:
  • Che Mohd Imran Che Taib

    (Universiti Malaysia Terengganu)

  • Mukminah Darus

    (Universiti Malaysia Terengganu)

Abstract

This paper discusses the pricing methodology of the temperature index insurance based on spatial temporal modelling of temperature. The crucial problem here is the location of the potential insurance buyer relative to the station where index is calculated. Since the observed temperatures at particular station are not always correlated to the temperature where the insurance holder lives, it is important to consider spatial issues in the pricing methodology. Thus, we model the temperature using spatial temporal stochastic processes and employ the universal Kriging method to predict the future temperature at some specific locations. Based on temperature index, we may then price the temperature insurance. We illustrate the pricing methodology using 20 years data from five stations in Malaysia. The findings are important for the development of weather index insurance.

Suggested Citation

  • Che Mohd Imran Che Taib & Mukminah Darus, 2019. "Spatial-Temporal Modelling of Temperature for Pricing Temperature Index Insurance," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 26(1), pages 87-106, March.
    • Handle: RePEc:kap:apfinm:v:26:y:2019:i:1:d:10.1007_s10690-018-9259-0
    DOI: 10.1007/s10690-018-9259-0
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    References listed on IDEAS

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    1. Benjamin Collier & Jerry Skees & Barry Barnett, 2009. "Weather Index Insurance and Climate Change: Opportunities and Challenges in Lower Income Countries," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 34(3), pages 401-424, July.
    2. Jurate saltyte Benth & Fred Espen Benth & Paulius Jalinskas, 2007. "A Spatial-temporal Model for Temperature with Seasonal Variance," Journal of Applied Statistics, Taylor & Francis Journals, vol. 34(7), pages 823-841.
    3. Andrea Barth & Fred Espen Benth & Jurgen Potthoff, 2011. "Hedging of Spatial Temperature Risk with Market-Traded Futures," Applied Mathematical Finance, Taylor & Francis Journals, vol. 18(2), pages 93-117.
    4. Fred Espen Benth & Jan Kallsen & Thilo Meyer-Brandis, 2007. "A Non-Gaussian Ornstein-Uhlenbeck Process for Electricity Spot Price Modeling and Derivatives Pricing," Applied Mathematical Finance, Taylor & Francis Journals, vol. 14(2), pages 153-169.
    5. 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.
    6. Barry J. Barnett & Olivier Mahul, 2007. "Weather Index Insurance for Agriculture and Rural Areas in Lower-Income Countries," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 89(5), pages 1241-1247.
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