Rainfall Indexation for Evaluating Rainfall Risk Profile of Indian Subcontinent
DOI:
https://doi.org/10.17010/ijf/2020/v14i12/156483Keywords:
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, Paper Acceptance Date, October 20, 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.Downloads
Downloads
Published
How to Cite
Issue
Section
References
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 headingâ€, 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.