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Indian Journal of Finance

ISSN: 0973-8711 Frequency: Monthly Peer Review: Double-blind Published since: 2007 Language: English
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Original Article

Open Access Original Article

Rainfall Indexation for Evaluating Rainfall Risk Profile of Indian Subcontinent

Bharath V.1,  Kotreshwar G.2

1 Research Scholar, DoS in Commerce, University of Mysore, Mysuru, Karnataka - 570 006

2 Professor (Rtd.), Senior Fellow, Indian Council of Social Science Research (ICSSR), New Delhi - 110 067

Volume 14
Issue 12
Pages 40–52
Year 2020
Received: Jan. 5, 2020 Accepted: Oct. 20, 2020 Published: Dec. 31, 2020
Abstract

This paper introduced a new set of rainfall indices which can be used as building blocks for designing rainfall derivatives contracts. Such a set was defined as deficit rainy days (DRD)/ excess rainy days (ERD) indices and computed for selected meteorological sub-divisions of India. The study aimed to explore the volatility and other statistical properties of DRD/ERD indices in order to assess the rainfall risk profile of the Indian subcontinent. The methodology proceeded in a step-wise form: Empirical values of DRDs/ERDs over 50 years for selected MSDs of India were derived, and then these index values were analyzed for determining the degree of variability, followed by the examination of the degree of intercorrelation amongst indices of selected meteorological sub-divisions. The paper provided insights on the behaviour of the volatility of the proposed indices and their potential application in designing rainfall derivatives contracts.

Keywords Rainfall Risk Rainfall Indexation Deficit Rainy Day (DRDs) Excess Rainy Days (ERDs) Rainfall Derivatives. JEL Classification
How to Cite

Bharath V., Kotreshwar G. (2020). Rainfall Indexation for Evaluating Rainfall Risk Profile of Indian Subcontinent. Indian Journal of Finance, 14(12), 40–52. https://doi.org/10.17010/ijf/2020/v14i12/156483

References
  1. Choudhary, N., & Nair, G. K. (2017). Weather derivatives : Another need for India. In, Empirical studies on economics of innovation, public economics and management (pp. 115–126). Springer. <a href=https://dx.doi.org/10.1007/978-3-319-50164-2_6 target="_blank">https://dx.doi.org/10.1007/978-3-319-50164-2_6</a>
  2. Gadgil, S., & Gadgil, S. (2006).The Indian monsoon, GDP and agriculture. Economic and Political Weekly, 41(47), 4887 + 4889–4895. Retrieved from <a href=http://www.jstor.org/stable/4418949 target="_blank">http://www.jstor.org/stable/4418949</a>
  3. Guhathakurta, P., & Revadekar, J. (2017). Observed variability and long-term trends of rainfall over India. In, M. Rajeevan & S. Nayak (eds)., Observed climate variability and change over the Indian region (pp. 1– 15). Singapore : Springer. <a href=https://dx.doi.org/10.1007/978-981-10-2531-0_1 target="_blank">https://dx.doi.org/10.1007/978-981-10-2531-0_1</a>
  4. Indian Meteorological Department of India. (2018). Rainfall statistics of India report 1968 to 2017. New Delhi : IMD.
  5. Kothawale, D. R., & Rajeevan, M. (2017). Monthly, seasonal and annual rainfall time series for all-India, homogeneous regions and meteorological subdivisions : 1871–2016. Pune : Indian Institute of Tropical Meteorology. Retrieved from <a href=https://www.tropmet.res.in /~lip/Publication/RR-pdf/RR-138.pdf target="_blank">https://www.tropmet.res.in /~lip/Publication/RR-pdf/RR-138.pdf</a>
  6. Kotreshwar, G. (2006). Managing monsoon risk in India : Why not monsoon derivatives ? The IUP Journal of Derivatives Markets, 3(3), 76–83. Retrieved from <a href=https://www. iupindia.in/706/IJDM_Managing_Monsoon_ Risk _76 .html target="_blank">https://www. iupindia.in/706/IJDM_Managing_Monsoon_ Risk _76 .html</a>
  7. Kotreshwar, G., & Arunkumar, R. (2006). Monsoon risk securitisation : Monsoon options on select MET subdivisions. <a href=https://dx.doi.org/10.2139/ssrn.962322 target="_blank">https://dx.doi.org/10.2139/ssrn.962322</a>
  8. Kotreshwar, G., & Kanakasabai, M. (2006, August). Design and pricing of monsoon derivatives: A conceptual framework. Paper presented at International Conference of Asia Pacific Risk & Insurance Association (APRIA), Tokyo, Japan. Retrieved from <a href=https://www.researchgate.net/publication/267811449_Design_and_Pricing_of_Monsoon_ Derivatives_A_conceptual_Framework target="_blank">https://www.researchgate.net/publication/267811449_Design_and_Pricing_of_Monsoon_ Derivatives_A_conceptual_Framework</a>
  9. Kotreshwar, G. (2015, August). Securitisation of rainfall risk in India : Designing rainfall derivative contracts based on standard metrics. Paper presented at the International Conference on Emerging Trends in Finance Accounting, Mysuru, India.
  10. Kumar, K. N., Rajeevan, M., Pai, D. S., Srivastava, A. K., & Preethi, B. (2013). On the observed variability of monsoon droughts over India. Weather Climate Extremes, 1, 42–50. <a href=https://dx.doi.org/10.1016/j.wace.2013.07.006 target="_blank">https://dx.doi.org/10.1016/j.wace.2013.07.006</a>
  11. Mooley, D. A., & Parthasarathy, B. (1984). Fluctuations in all-India summer monsoon rainfall during 1871–1978. Climatic Change, 6(3), 287–301. <a href=https://dx.doi.org/10.1007/BF00142477 target="_blank">https://dx.doi.org/10.1007/BF00142477</a>
  12. Pai, D. S., Guhathakurta, P., Kulkarni, A., & Rajeevan, M. N. (2017).Variability of meteorological droughts over India. In, M. Rajeevan & S. Nayak (eds.), Observed climate 33–41. Retrieved from <a href= https://www.ijitee.org/download/volume-8-issue-5/ target="_blank"> https://www.ijitee.org/download/volume-8-issue-5/</a>
  13. Shruthy, M. K., & Kumar, P. (2017). The major factors influencing productivity of coffee : A study of Kodagu District in Karnataka. Arthshastra Indian Journal of Economics & Research, 6(2), 20–28. <a href= https://dx.doi.org/10.17010/aijer/2017/v6i2/114125 target="_blank"> https://dx.doi.org/10.17010/aijer/2017/v6i2/114125</a>
  14. Skees, J., Gober, S., Varangis, P., Lester, R., & Kalavakonda, V. (2001). Developing rainfall-based index insurance in Morocco (Policy Research Working Paper; No. 2577). Washington, DC : World Bank. Retrieved from <a href=https://openknowledge.worldbank.org/handle/10986/19674 target="_blank">https://openknowledge.worldbank.org/handle/10986/19674</a>
  15. Stoppa, A., & Hess, U. (2003). Design and use of weather derivatives in agricultural policies: The case of rainfall index insurance in Morocco. Paper presented at the International Conference, “Agricultural Policy Reform and the WTO : Where are we heading”, Capri, Italy. Retrieved from <a href=https://pdfs.semanticscholar.org/c35b/55afd4a21f 2ee7d2ecdf5460cca5cbe3514.pdf target="_blank">https://pdfs.semanticscholar.org/c35b/55afd4a21f 2ee7d2ecdf5460cca5cbe3514.pdf</a>
  16. Veeramani, V. N., Maynard, L. J., & Skees, J. R. (2005). Assessment of the risk management potential of a rainfall based insurance index and rainfall options in Andhra Pradesh, India. Indian Journal of Economics & Business, 4(1), 195–208.
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