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Option Pricing of Weather Derivatives for Seoul

Published online by Cambridge University Press:  28 May 2015

Jiwoon Kim ,
Dongwoo Sheen  and
Sungwon Shin
Jiwoon Kim
Affiliation:
Department of Mathematics, Seoul National University, Seoul 151-747, Korea
Dongwoo Sheen
Affiliation:
Department of Mathematics, Seoul National University, Seoul 151-747, Korea Interdisciplinary Program in Computational Science & Technology, Seoul National University, Seoul 151-747, Korea
Sungwon Shin
Affiliation:
Interdisciplinary Program in Computational Science & Technology, Seoul National University, Seoul 151-747, Korea
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Abstract.

This article analyses temperature data for Seoul based on a well defined daily average temperature (DAT) derived from records dating from 1954 to 2009, and considers related weather derivatives using a previous methodology. The temperature data exhibit some quite distinctive features, compared to other cities that have been considered before. Thus Seoul has: (i) four clear seasons; (ii) a significant seasonal range, with high temperature and humidity in the summer but low temperature and very dry weather in winter; and (iii) cycles of three cold days and four warmer days in winter. Due to these characteristics, seasonal variance and oscillation in Seoul is more apparent in winter and less evident in summer than in the other cities. We construct a deterministic model for the average temperature and then simulate future weather patterns, before pricing various weather derivative options and calculating the market price of risk (MPR).

Keywords

91G2060H1560J65Weather derivativesmarket price of riskHDDCDDCAT
Type
Research Article
Information
East Asian Journal on Applied Mathematics , Volume 2 , Issue 4 , November 2012 , pp. 309 - 325
Copyright
Copyright © Global-Science Press 2012

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References

[1] Korea Meteorological Administration. http://www.kma.go.kr. (accessed Nov. 25, 2010).Google Scholar
[2]Alaton, P., Djehiche, B., and Stillberger, D.. On modelling and pricing weather derivatives. Appl. Math. Finance, 9(1):1–20, 2002.CrossRefGoogle Scholar
[3]Benth, F.. On arbitrage-free pricing of weather derivatives based on fractional Brownian motion. Appl. Math. Finance, 10(4):303–324, 2003.Google Scholar
[4]Benth, F. and Benth, J. S.. The volatility of temperature and pricing of weather derivatives. Quant. Finance, 7:553–561, 2007.Google Scholar
[5]Benth, F., Benth, J. S., and Koekebakker, S.. Putting a price on temperature. Scand. J. Stat., 34:746–767, 2007.Google Scholar
[6]Benth, F., Benth, J. S., and Koekebakker, S.. Stochastic Modelling of Electricity and Related Markets. World Scientific Publishing, 2008.Google Scholar
[7]Benth, F., Härdle, W. K., and Cabrera, B. López. Pricing of Asian temperature risk. SFB 649 Discussion Paper 2009-046, Humboldt-Universität zu Berlin, 2009.Google Scholar
[8]Bibby, B. M. and Sorensen, M.. Martingale estimation functions for discretely observed diffusionprocesses. Bernoulli, 1(1/2):017–039, 1995.Google Scholar
[9]Brody, D. C., Syroka, J., and Zervos, M.. Dynamical pricing of weather derivatives. Quant. Finance, 3:189–198, 2002.Google Scholar
[10]Cao, M. and Wei, J.. Weather derivatives valuation and market price of weather risk. J. Futures Markets, 24:1065–1089, 2004.CrossRefGoogle Scholar
[11]Chang, C.-C., Lin, J.-B., and Shen, W.-M.. Pricing weather derivatives using a predicting power time series. Asia-Pac. J. Financ. St., 38(6):863–890, 2009.Google Scholar
[12]CME. An Introduction to CME Weather Products. CME Alternative Investment Products, 2005.Google Scholar
[13]Dornier, F. and Querel, M.. Caution to the wind. Energy Power Risk Management, Weather Risk Special Report, pages 30–32, 2000.Google Scholar
[14] Korea Exchange. http://www.krx.co.kr. (accessed Mar. 6, 2011).Google Scholar
[15]Golden, L. L., Wang, M., and Yang, C.. Handling weather related risks through the financial markets: Considerations of credit risk, basis risk, and hedging. J. Risk Insur., 74(2):319–346, Jun 2007.Google Scholar
[16]Härdle, W. K. and Cabrera, B. López. Implied market price of weather risk. SFB 649 Discussion Paper 2009-001, Humboldt-Universität zu Berlin, 2009.Google Scholar
[17]Hertzler, G.. Adapting to climate change and managing climate risks by using real options. Aust. J. Agr. Res., 58(10):985–992, 2007.Google Scholar
[18]Huang, H., Shiu, Y., and Lin, P.. HDD and CDD option pricing with market price of weather risk for Taiwan. J. Futures Markets, 28:790–814, 2008.Google Scholar
[19]Kanamura, T. and Ohashi, K.. Pricing summer day options by good-deal bounds. Energ. Econ., 31(2):289–297, Mar 2009.Google Scholar
[20]Lee, J.. Economics of weather change. SERI Economy Focus, 278:1–22, 2010.Google Scholar
[21]Lee, J.-H.. A study on the valuation of the CDD/HDD weather options. Asia-Pac. J. Financ. St., 31:229–255, 2002.Google Scholar
[22]Li, M.. The impact of return nonnormality on exchange options. J. Futures Markets, 28(9):845–870, SEP 2008.Google Scholar
[23]Morrison, J.. Managing weather risk. Futures Industry, Jan/Feb:26-29, 2009.Google Scholar
[24]Economic Statistics System of the Bank of Korea. http://ecos.bok.or.kr. (accessed Feb. 14, 2011).Google Scholar
[25]Richards, D. J., Manfredo, M. R., and Sanders, D. R.. Pricing weather derivatives. Am. J. Agr. Econ., 86(4):1005–1017, Nov 2004.Google Scholar
[26]Stern, H.. The application of weather derivatives to mitigate the financial risk of climate variability and extreme weather events. Aust. Meteorol. Mag., 50(3):171–182, SEP 2001.Google Scholar
[27]Taylor, J. W. and Buizza, R.. Density forecasting for weather derivative pricing. Int. J. Forecasting, 22(1):29–42, Jan-Mar 2006.Google Scholar
[28]Tumpach, M. and Juhaszova, Z.. Option-based temperature derivatives as the instruments for elimination of weather risk impacts. Ekon. Cas., 55(2):125–144, 2007.Google Scholar
[29]Yoo, S.. Weather derivatives and seasonal forecasts. Asia-Pac. J. Financ. St., 33(4):213–246, 2004.Google Scholar