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Rainfall Indexation for Evaluating Rainfall Risk Profile of Indian Subcontinent


Affiliations
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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  • 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.


References





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