Pricing of temperature index insurance

被引:30
|
作者
Taib, Che Mohd Imran Che [1 ,2 ]
Benth, Fred Espen [1 ]
机构
[1] Univ Oslo, Ctr Math Applicat, POB 1053 Blindern, N-0316 Oslo, Norway
[2] Univ Malaysia Terengganu, Fac Sci & Technol, Kuala Terengganu 21030, Terengganu, Malaysia
关键词
Burn analysis; Index modelling; Seasonal autoregressive time series; Monte-Carlo simulation; Weather derivatives;
D O I
10.1016/j.rdf.2012.01.004
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
The aim of this paper is to study pricing of weather insurance contracts based on temperature indices. Three different pricing methods are analysed: the classical burn approach, index modelling and temperature modelling. We take the data from Malaysia as our empirical case. Our results show that there is a significant difference between the burn and index pricing approaches on one hand, and the temperature modelling method on the other. The latter approach is pricing the insurance contract using a seasonal autoregressive time series model for daily temperature variations, and thus provides a precise probabilistic model for the fine structure of temperature evolution. We complement our pricing analysis by an investigation of the profit/loss distribution from the contract, in the perspective of both the insured and the insurer. (C) 2012 Production and hosting by Elsevier B.V. on behalf of Africagrowth Institute. Open access under CC BY-NC-ND license.
引用
收藏
页码:22 / 31
页数:10
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