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Rainfall Indexation for Evaluating Rainfall Risk Profile of Indian Subcontinent


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1 DoS in Commerce, University of Mysore, Mysuru, Karnataka - 570 006, India
2 Indian Council of Social Science Research (ICSSR), New Delhi - 110 067, India

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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 : G22,G28,Q14,Q59.

Paper Submission Date : January 5, 2020; Paper Sent Back for Revision : May 26, 2020; Paper Acceptance Date : October 20, 2020.

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  • 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. https://dx.doi.org/10.1007/978-3-319-50164-2_6
  • Gadgil, S., & Gadgil, S. (2006).The Indian monsoon, GDP and agriculture. Economic and Political Weekly, 41(47), 4887 + 4889–4895. Retrieved from http://www.jstor.org/stable/4418949
  • 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. https://dx.doi.org/10.1007/978-981-10-2531-0_1
  • Indian Meteorological Department of India. (2018). Rainfall statistics of India report 1968 to 2017. New Delhi : IMD.
  • 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 https://www.tropmet.res.in /~lip/Publication/RR-pdf/RR-138.pdf
  • Kotreshwar, G. (2006). Managing monsoon risk in India : Why not monsoon derivatives ? The IUP Journal of Derivatives Markets, 3(3), 76–83. Retrieved from https://www. iupindia.in/706/IJDM_Managing_Monsoon_ Risk _76 .html
  • Kotreshwar, G., & Arunkumar, R. (2006). Monsoon risk securitisation : Monsoon options on select MET subdivisions. https://dx.doi.org/10.2139/ssrn.962322
  • 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 https://www.researchgate.net/publication/267811449_Design_and_Pricing_of_Monsoon_ Derivatives_A_conceptual_Framework
  • 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.
  • 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. https://dx.doi.org/10.1016/j.wace.2013.07.006
  • Mooley, D. A., & Parthasarathy, B. (1984). Fluctuations in all-India summer monsoon rainfall during 1871–1978. Climatic Change, 6(3), 287–301. https://dx.doi.org/10.1007/BF00142477
  • 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 https://www.ijitee.org/download/volume-8-issue-5/
  • 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. https://dx.doi.org/10.17010/aijer/2017/v6i2/114125
  • 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 https://openknowledge.worldbank.org/handle/10986/19674
  • 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 https://pdfs.semanticscholar.org/c35b/55afd4a21f 2ee7d2ecdf5460cca5cbe3514.pdf
  • 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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  • Rainfall Indexation for Evaluating Rainfall Risk Profile of Indian Subcontinent

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Authors

Bharath V.
DoS in Commerce, University of Mysore, Mysuru, Karnataka - 570 006, India
Kotreshwar G.
Indian Council of Social Science Research (ICSSR), New Delhi - 110 067, India

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 : G22,G28,Q14,Q59.

Paper Submission Date : January 5, 2020; Paper Sent Back for Revision : May 26, 2020; Paper Acceptance Date : October 20, 2020.


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DOI: https://doi.org/10.17010/ijf%2F2020%2Fv14i12%2F156483