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Portfolio Effects and Valuation of Weather Derivatives

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  • Patrick L. Brockett
  • Mulong Wang
  • Chuanhou Yang
  • Hong Zou

Abstract

In a mean‐variance framework, the indifference pricing approach is adopted to value weather derivatives, taking account of portfolio effects. Our analysis shows how the magnitude of portfolio effects is related to the correlation between weather indexes and other risky assets, the correlation between weather indexes, and the payoff structures of the existing weather derivatives in an investor's asset portfolio. We also conduct some preliminary empirical analysis. This study contributes to the weather derivative pricing literature by incorporating both the hedgeable and unhedgeable parts of weather risks in illustrating the portfolio effects on the indifference prices of weather derivatives.

Suggested Citation

  • Patrick L. Brockett & Mulong Wang & Chuanhou Yang & Hong Zou, 2006. "Portfolio Effects and Valuation of Weather Derivatives," The Financial Review, Eastern Finance Association, vol. 41(1), pages 55-76, February.
    • Handle: RePEc:bla:finrev:v:41:y:2006:i:1:p:55-76
    DOI: 10.1111/j.1540-6288.2006.00133.x
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    Cited by:

    1. Gülpınar, Nalân & Çanakoḡlu, Ethem, 2017. "Robust portfolio selection problem under temperature uncertainty," European Journal of Operational Research, Elsevier, vol. 256(2), pages 500-523.
    2. Groll, Andreas & López-Cabrera, Brenda & Meyer-Brandis, Thilo, 2014. "A consistent two-factor model for pricing temperature derivatives," SFB 649 Discussion Papers 2014-006, Humboldt University Berlin, Collaborative Research Center 649: Economic Risk.
    3. Yuji Yamada & Takuji Matsumoto, 2021. "Going for Derivatives or Forwards? Minimizing Cashflow Fluctuations of Electricity Transactions on Power Markets," Energies, MDPI, vol. 14(21), pages 1-28, November.
    4. Lee, Yongheon & Oren, Shmuel S., 2009. "An equilibrium pricing model for weather derivatives in a multi-commodity setting," Energy Economics, Elsevier, vol. 31(5), pages 702-713, September.
    5. 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.
    6. 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.
    7. Matsumoto, Takuji & Yamada, Yuji, 2021. "Simultaneous hedging strategy for price and volume risks in electricity businesses using energy and weather derivatives1," Energy Economics, Elsevier, vol. 95(C).
    8. Kanamura, Takashi, 2019. "Volumetric Risk Hedging Strategies and Basis Risk Premium for Solar Power," MPRA Paper 92009, University Library of Munich, Germany.
    9. Yeny E. Rodríguez & Miguel A. Pérez-Uribe & Javier Contreras, 2021. "Wind Put Barrier Options Pricing Based on the Nordix Index," Energies, MDPI, vol. 14(4), pages 1-14, February.
    10. Patrick Brockett & Linda Goldens & Min-Ming Wen & Charles Yang, 2009. "Pricing Weather Derivatives Using the Indifference Pricing Approach," North American Actuarial Journal, Taylor & Francis Journals, vol. 13(3), pages 303-315.
    11. Eirini Konstantinidi & Gkaren Papazian & George Skiadopoulos, 2015. "Modeling the Dynamics of Temperature with a View to Weather Derivatives," World Scientific Book Chapters, in: Anastasios G Malliaris & William T Ziemba (ed.), THE WORLD SCIENTIFIC HANDBOOK OF FUTURES MARKETS, chapter 17, pages 511-544, World Scientific Publishing Co. Pte. Ltd..
    12. Groll, Andreas & López-Cabrera, Brenda & Meyer-Brandis, Thilo, 2016. "A consistent two-factor model for pricing temperature derivatives," Energy Economics, Elsevier, vol. 55(C), pages 112-126.
    13. Kanamura, Takashi & Homann, Lasse & Prokopczuk, Marcel, 2021. "Pricing analysis of wind power derivatives for renewable energy risk management," Applied Energy, Elsevier, vol. 304(C).
    14. Rui Zhou & Johnny Siu-Hang Li & Jeffrey Pai, 2019. "Pricing temperature derivatives with a filtered historical simulation approach," The European Journal of Finance, Taylor & Francis Journals, vol. 25(15), pages 1462-1484, October.
    15. Takuji Matsumoto & Yuji Yamada, 2021. "Customized yet Standardized Temperature Derivatives: A Non-Parametric Approach with Suitable Basis Selection for Ensuring Robustness," Energies, MDPI, vol. 14(11), pages 1-24, June.

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