题名

Valuation and Risk Management of Weather Derivatives: The Application of CME Rainfall Index Binary Contracts

并列篇名

天氣衍生性商品之評價與風險管理:CME雨量指數二元式合約之應用

DOI

10.6226/NTUMR.202104_31(1).0004

作者

林士貴(Shih-Kuei Lin);莊明哲(Ming-Che Chuang);方東杰(Dong-Jie Fang)

关键词

precipitation derivatives ; Markov chain ; truncated Fourier series ; Esscher transform ; market price of risk ; 雨量衍生性商品 ; 馬可夫鏈 ; 截斷傅立葉級數 ; Esscher變換 ; 市場風險價格

期刊名称

臺大管理論叢

卷期/出版年月

31卷1期(2021 / 04 / 01)

页次

117 - 153

内容语文

英文

中文摘要

In this paper, we explore and analyze the valuation and risk management of rainfall index binary contracts, a type of precipitation derivative issued by the Chicago Mercantile Exchange (CME). We describe the underlying rainfall index with the occurrence model, which is built on a first-order, two-state Markov chain, and with the magnitude model based on mixed exponential distribution. To capture the seasonality characteristics, we describe the parameters of these two models with the truncated Fourier series. Since the weather derivatives market is incomplete due to the essence of its product, we value the rainfall index binary options with the Esscher transform and calibrate the market price of risk (MPR) with real market data. After analyzing the temporal behavior of the MPR, we find that the investors could have more accurate estimations of the rainfall index when approaching the end of the contract period or when entering the accumulation period. We also find that rather than speculators, the market participants are mainly hedgers, which may explain the shrinking of the precipitation derivatives market.

英文摘要

本文探索並分析了芝加哥商品交易所(CME)發行之雨量衍生性商品-雨量指數二元式合約的評價與風險管理。作為標的之雨量指數由兩種模型所刻畫:以一階兩狀態馬可夫鏈建立的降雨發生模型,以及以混合指數分配建立的雨量強度模型。上述兩模型之參數均以截斷傅立葉級數擬合,以捕捉降雨的季節性特徵。鑒於天氣衍生性商品市場之不完備性(肇因於商品本質),本文利用Esscher變換對選擇權進行評價,並以CME之真實市場價格校準獲得市場風險價格。在進一步分析市場風險價格的時間行為後,本文發現雨量指數二元式合約之市場參與者會隨著合約到期時間迫近或進入契約的累積期間,而對標的指數有著日益準確的估計;另本研究也發現這個市場的參與者大多為避險者而非投機者,這或許能解釋雨量衍生性商品市場萎縮的原因。

主题分类 基礎與應用科學 > 資訊科學
基礎與應用科學 > 統計
社會科學 > 經濟學
社會科學 > 財金及會計學
社會科學 > 管理學
参考文献
  1. Lin, B. H.,Chung, S. L.,Yeh, S. K.(2016).Review and prospects of Taiwan derivatives research: pricing, hedging, and arbitrage.NTU Management Review,27(1),255-304.
    連結:
  2. Lin, C. H.,Hsu, S. F.,Chen, S. C.(2012).An anaalysis of the underwriting cycle in Taiwan’s private health insurance: The second-order autore gressive model vs. the markov switching model.NTU Management Review,22(2),221-252.
    連結:
  3. Alexandridis, A. K.,Zapranis, A. D.(2013).Weather Derivatives: Modeling and Pricing Weather-Related Risk.New York, NY:Springer.
  4. Barnett, M.,Brock, W.,Hansen, L. P.(2020).Pricing uncertainty induced by climate change.The Review of Financial Studies,33(3),1024-1066.
  5. Benth, F. E.,Benth, J. Š.,Koekebakker, S.(2007).Putting a price on temperature.Scandinavian Journal of Statistics,34(4),746-767.
  6. Black, F.,Scholes, M.(1973).The pricing of options and corporate liabilities.Journal of Political Economy,81(3),637-654.
  7. Brockett, P. L.,Wang, M.,Yang, C.,Zou, H.(2006).Portfolio effects and valuation of weather derivatives.Financial Review,41(1),55-76.
  8. Bühlmann, H.(1980).An economic premium principle.ASTIN Bulletin,11(1),52-60.
  9. Cabrera, B. L.,Odening, M.,Ritter, M.(2013).Pricing rainfall futures at the CME.Journal of Banking & Finance,37(11),4286-4298.
  10. Cao, M.,Li, A.,Wei, J.(2004).Precipitation modeling and contract valuation: A frontier in weather derivatives.The Journal of Alternative Investments,7(2),93-99.
  11. Carmona, R.,Diko, P.(2005).Pricing precipitation based derivatives.International Journal of Theoretical and Applied Finance,8(7),959-988.
  12. Chang, C. C.,Lin, S. K.,Yu, M. T.(2011).Valuation of catastrophe equity puts with Markov-modulated Poisson processes.Journal of Risk and Insurance,78(2),447-473.
  13. Choi, D.,Gao, Z.,Jiang, W.(2020).Attention to global warming.The Review of Financial Studies,33(3),1112-1145.
  14. Cont, R.,Tankov, P.(2004).Financial Modelling with Jump Processes.London, UK:Chapman and Hall.
  15. Cramer, S.,Kampouridis, M.,Freitas, A. A.,Alexandridis, A. K.(2017).An extensive evaluation of seven machine learning methods for rainfall prediction in weather derivatives.Expert Systems with Applications,85(1),169-181.
  16. Dorfleitner, G.,Wimmer, M.(2010).The pricing of temperature futures at the Chicago mercantile exchange.Journal of Banking & Finance,34(6),1360-1370.
  17. Esscher, F. 1932. On the probability function in the collective theory of risk. Scandinavian Actuarial Journal, 1932 (3): 175-195
  18. Frittelli, M.(2000).The minimal entropy martingale measure and the valuation problem in incomplete markets.Mathematical Finance,10(1),39-52.
  19. Gerber, H. U.,Shiu, E. S. W.(1994).Option pricing by Esscher transforms.Transactions of Society of Actuaries,46,99-191.
  20. Härdle, W. K.,Osipenko, M.(2017).A dynamic programming approach for pricing weather derivatives under issuer default risk.International Journal of Financial Studies,5(4),1-18.
  21. Hess, M.(2016).Modeling and pricing precipitation derivatives under weather forecasts.International Journal of Theoretical and Applied Finance,19(7),1-29.
  22. Hong, H.,Karolyi, G. A.,Scheinkman, J. A.(2020).Climate Finance.The Review of Financial Studies,33(3),1011-1023.
  23. Jeucken, M.(2010).Sustainable Finance and Banking: The Financial Sector and the Future of the Planet.London, UK:Earthscan.
  24. Kremer, E.(1982).A characterization of the Esscher-transformation.ASTIN Bulletin,13(1),57-59.
  25. Leobacher, G.,Ngare, P.(2011).On modelling and pricing rainfall derivatives with seasonality.Applied Mathematical Finance,18(1),71-91.
  26. Lo, C. L.,Chang, C. W.,Lee, J. P.,Yu, M. T.(2020).Pricing catastrophe swaps with default risk and stochastic interest rates.Pacific-Basin Finance Journal
  27. Lo, C. L.,Lee, J. P.,Yu, M. T.(2013).Valuation of insurers’ contingent capital with counterparty risk and price endogeneity.Journal of Banking & Finance,37(12),5025-5035.
  28. Müller, A.,Grandi, M.(2000).Weather derivatives: A risk management tool for weather-sensitive industries.The Geneva Papers on Risk and Insurance-Issues and Practice,25(2),273-287.
  29. New Climate Economy=NCE(2018).Unlocking the inclusive growth story of the 21st century: Accelerating climate action in urgent times.Washington, DC:World Resources Institute.
  30. Noven, R.,Veraart, A.,Gandy, A.(2015).A Lévy-driven rainfall model with applications to futures pricing.Advances in Statistical Analysis,99(4),403-432.
  31. Odening, M.,Musshoff, O.,Xu, W.(2007).Analysis of rainfall derivatives using daily precipitation models: Opportunities and pitfalls.Agricultural Finance Review,67(1),135-156.
  32. Shah, A.(2017).Pricing of rainfall derivatives using generalized linear models of the daily rainfall process.International Agricultural Risk, Finance and Insurance Conference,Paris, France:
  33. Stowasser, M.(2012).Modeling rain risk: A multi-order Markov Chain model approach.Journal of Risk Finance,13(1),45-61.
  34. United Nations Framework Convention on Climate Change=UNFCCC(2018).UN climate change annual report 2018.
  35. Wilks, D. S.(2011).Statistical Methods in the Atmospheric Sciences.Cambridge, MA:Academic Press.
  36. Woolhiser, D. A.,Pegram, G. G. S.(1979).Maximum likelihood estimation of fourier coefficients to describe seasonal variations of parameters in stochastic daily precipitation models.Journal of Applied Meteorology,18(1),34-42.
  37. Wu, Y. C.,Chung, S. L.(2010).Catastrophe risk management with counterparty risk using alternative instruments.Insurance: Mathematics and Economics,47(2),234-245.
  38. Xu, W.,Odening, M.,Musshoff, O.(2008).Indifference pricing of weather derivatives.American Journal of Agricultural Economics,90(4),979-993.
被引用次数
  1. 葉宗穎,葉仕國,陳仁遶,林丙輝(2022)。透過信用違約交換報價與公司債殖利率萃取流動性風險因子之探討。臺大管理論叢,32(1),1-43。
  2. (2024)。Valuation of Spread and Basket Options。臺大管理論叢,34(1),1-44。