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     Research Journal of Applied Sciences, Engineering and Technology


Pricing for Catastrophe Bonds Based on Expected-value Model

1, 2Junfei Chen, 2Lu Zhang and 1, 2Lingyan Xu
1State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Hohai University, Nanjing 210098, P.R. China
2Business School, Hohai University, Nanjing 210098, P.R. China
Research Journal of Applied Sciences, Engineering and Technology  2013  4:1471-1479
http://dx.doi.org/10.19026/rjaset.5.4890  |  © The Author(s) 2013
Received: April 13, 2012  |  Accepted: June 01, 2012  |  Published: February 01, 2013

Abstract

As the catastrophes cannot be avoided and result in huge economic losses, therefore the compensation issue for catastrophe losses become an important research topic. Catastrophe bonds can effectively disperse the catastrophe risks which mainly undertaken by the government and the insurance companies currently and focus on capital more effectively in broad capital market, therefore to be an ideal catastrophe securities product. This study adopts Expectancy Theory to supplement and improve the pricing of catastrophe bonds based on Value Theory. A model of expected utility is established to determine the conditions of the expected revenue R of catastrophe bonds. The pricing model of the value function is used to get the psychological value of R,U (R-R ̅), for catastrophe bonds. Finally, the psychological value is improved by the value according to expected utility and this can more accurately evaluate catastrophe bonds at a reasonable price. This research can provide decision-making for the pricing of catastrophe bonds.

Keywords:

Catastrophe bonds, expected utility theory, pricing, value theory,


References


Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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