Погодные деривативы в России: страхование фермеров от колебаний температуры


https://doi.org/10.26794/2308-944X-2018-6-1-29-42

Полный текст:


Аннотация

Этот проект предлагает использовать погодные деривативы - тип финансового инструмента с выплатой на основе погодных условий - как метод для российских фермеров для подстраховки от ежедневных колебаний температуры. Мы создали инструмент моделирования производных погоды в Microsoft Excel, который вычисляет влияние температуры на урожайность, а затем анализирует, как возврат производных погоды может потенциально компенсировать потерю урожая. На основе этого инструмента мы разработали ряд рекомендаций, которые помогут внедрить эту систему защиты реальными пользователями.

Об авторах

Э. Каркин
Вустерский политехнический институт
Россия


С. Чекиров
Финансовый университет
Россия


А. Екимова
Финансовый университет
Россия


К. Джонстон
Вустерский политехнический институт
Россия


К. Ли
Вустерский политехнический институт
Россия


В. Секриеру
Финансовый университет
Россия


А. Стрельникова
Финансовый университет
Россия


М. Трир
Вустерский политехнический институт
Россия


В. Трубников
Финансовый университет
Россия


Список литературы

1. Alaton, P., Djehiche B., & Stillberger, D. (2002). On modeling and pricing weather derivatives. Applied Mathematical Finance, 9(1). doi:10.1080/13504860210132897

2. Basic Element. (2013, December 9). The future of farming in Russia. Farmers Weekly. Retrieved from www.basel.ru/en/articles/farming_09_12_13

3. Barrieu, P., & Scaillet, O. (2010). A primer on weather derivatives. In Uncertainty and Environmental Decision Making: A Handbook of Research and Best Practice (pp. 155-175). Retrieved from http://1cellonelight.com/pdf/weatherCambridge.pdf

4. British Potato Council. (2006, August). Target market report for the export of GB seed potatoes. BPC Target Market Report Russia. Retrieved from https://potatoes.ahdb.org.uk/sites/default/files/publication_upload/BPC%20OMIS%20Report%20Russia.pdf

5. Buckley, N. (2017, April). Russian agriculture flourishes amid sanctions. Financial Times. Retrieved from https://www.ft.com/content/422a8252-2443-11e7-8691-d5f7e0cd0a16

6. Climatemp (n. d.). Omsk Weather and Temperature. Retrieved from http://www.omsk.climatemps.com

7. Chung, W. (2011). Evaluating weather derivatives and crop insurance for farm production risk management in southern Minnesota. Master’s thesis, University of Minnesota. Retrieved from https://conservancy.umn.edu/bitstream/handle/11299/119325/Chung_umn_0130E_12390.pdf?sequence=1&isAllowed=y

8. Consedine, G. (2000). Introduction to Weather Derivatives. CME Group. Retrieved from https://www.cmegroup.com/trading/weather/files/WEA_intro_to_weather_der.pdf

9. Country Studies. (1996). Agriculture. Country Studies. Retrieved from http://countrystudies.us/russia/60.htm

10. Esper Group. (2010). NO CLIMAT but weather. Esper Times. Retrieved from http://www.esper-group.com/files/4/Esper-Times-_30-eng.pdf

11. Glenn, J. (2017). Euro vs. US Dollar. Investor Guide. Retrieved from http://www.investorguide.com/article/15564/euro-vs-us-dollar-d1412

12. Global Investment & Business Center. (2013). Russia Regional Economic and Business Atlas (Vol. 2). Washington, DC: International Business Publications. Retrieved from https://books.google.ru/books?id=ZEe8BQAAQBAJ&printsec=frontcover&hl=zh-CN&source=gbs_ge_summary_r&cad=0#v=onepage&q&f=false

13. Groll, A., López-Cabrera, B., & Meyer-Brandis, T. (2016). A consistent two-factor model for pricing temperature derivatives. Energy Economics, 55, 112-126. Retrieved from http://www.sciencedirect.com/science/article/pii/S 0140988316000104

14. Iansiti, M., & Lakhani, K. (2017, January-February). The truth about blockchain. Harvard Business Review. Retrieved from https://hbr.org/2017/01/the-truth-about-blockchain

15. Investopedia. (n. d.). Over-The-Counter-OTC. Retrieved from http://www.investopedia.com/terms/o/otc.asp

16. Knoema. (2015). Production and Sale of Agricultural Products, 1990-2015. Russian Agriculture Yields. Retrieved from https://knoema.com/atlas/Russian-Federation/Krasnodar-Krai/topics/Agriculture/Production-and-sales-of-agricultural-products-Gross-harvest-of-crops/Yield-of-winter-wheat

17. Liefert, W. M., Serova, E., & Liefert, O. (2015). Russia’s economic crisis and its agricultural and food economy. Choices, 30(1), pp. 1-6. Retrieved from http://www.choicesmagazine.org/magazine/article.php?article=78

18. Medetsky, A. (2016, October 6). Russia Becomes a Grain Superpower as Wheat Exports Explode. Retrieved from https://www.bloomberg.com/news/articles/2016-10-06/russia-upends-world-wheat-market-with-record-harvest-exports

19. Ministry of Finance of India. (2017). Government Sponsored Socially Oriented Insurance Schemes. Department of Financial Services, Government of India. Retrieved from http://financialservices.gov.in/insurance/gssois/wbcis.asp?pageid=2

20. Pavlova, V. N., Varcheva, S. E., Bokusheva, R., & Calanca, P. (2014). Modelling the effects of climate variability on spring wheat productivity in the steppe zone of Russia and Kazakhstan. Ecological Modelling, 277, 57-67. Retrieved from http://www.sciencedirect.com/science/article/pii/S 030438001400057X

21. RIHMI-WDC, Russia, CDIAC, USA. Daily Data. Air Temperature and Precipitation. (n. d.). Retrieved from http://meteo.ru/data/162-temperature-precipitation#доступ-к-данным

22. Simmons, S. R., Oelke, E. A., & Anderson, P. M. (1985). Growth and Development Guide for Spring Wheat. St. Paul, MN: University of Minnesota Agricultural Extension Service. Retrieved from https://conservancy.umn.edu/handle/11299/165834

23. State’s executives of the Krasnodar Region. (n. d.). Agricultural of Krasnodar Region. Retrieved from https://www.krasnodar.ru/en/content/453/show/32845

24. Sun, B., & van Kooten, G. (2015). Financial weather derivatives for corn production in Northern China: A comparison of pricing methods. Journal of Empirical Finance, 32, 201-209. Retrieved from http://www.sciencedirect.com/science/article/pii/S 0927539815000328

25. Taylor, J., & Buizza, R. (2006). Density forecasting for weather derivative pricing. International Journal of Forecasting, 22, 29-42. Retrieved from http://www.sciencedirect.com/science/article/pii/S 0169207005000634

26. Ukhova, D. (2013, September). After the Drought: The 2012 Drought, Russian farmers, and the challenges to adapting to extreme weather events. Oxfam Case Study. Retrieved from https://www.oxfam.org/sites/www.oxfam.org/files/cs-russia-drought-adaptation-270913-en.pdf

27. van Camp, M. (2015). Weather derivatives to mitigate weather risk to crops. Country Guide [Paragraph 3, 4 and 5]. Retrieved from https://www.countryguide.ca/2015/11/23/weather-derivatives-to-mitigate-weather-risk-to-crops/47647


Дополнительные файлы

Для цитирования: Каркин Э., Чекиров С., Екимова А., Джонстон К., Ли К., Секриеру В., Стрельникова А., Трир М., Трубников В. Погодные деривативы в России: страхование фермеров от колебаний температуры. Review of Business and Economics Studies. 2018;6(1):29-42. https://doi.org/10.26794/2308-944X-2018-6-1-29-42

For citation: Carkin E., Chekirov S., Echimova A., Johnston C., Li C., Secrieru V., Strelnikova A., Trier M., Trubnikov V. Weather Derivatives in Russia: Farmers’ Insurance against Temperature Fluctuations. Review of Business and Economics Studies. 2018;6(1):29-42. (In Russ.) https://doi.org/10.26794/2308-944X-2018-6-1-29-42

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