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CLC number: TP309; F840
On-line Access: 2024-08-27
Received: 2023-10-17
Revision Accepted: 2024-05-08
Crosschecked: 0000-00-00
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Estimation of financial loss ratio for E-insurance: a quantitative model
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ZHONG Yuan-sheng, CHEN De-ren, SHI Min-hua. Estimation of financial loss ratio for E-insurance: a quantitative model[J]. Journal of Zhejiang University Science A, 2002, 3(2): 140-147.
@article{title="Estimation of financial loss ratio for E-insurance: a quantitative model",
author="ZHONG Yuan-sheng, CHEN De-ren, SHI Min-hua",
journal="Journal of Zhejiang University Science A",
volume="3",
number="2",
pages="140-147",
year="2002",
publisher="Zhejiang University Press & Springer",
doi="10.1631/jzus.2002.0140"
}
%0 Journal Article
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%A ZHONG Yuan-sheng
%A CHEN De-ren
%A SHI Min-hua
%J Journal of Zhejiang University SCIENCE A
%V 3
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%P 140-147
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%I Zhejiang University Press & Springer
%DOI 10.1631/jzus.2002.0140
TY - JOUR
T1 - Estimation of financial loss ratio for E-insurance: a quantitative model
A1 - ZHONG Yuan-sheng
A1 - CHEN De-ren
A1 - SHI Min-hua
J0 - Journal of Zhejiang University Science A
VL - 3
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SP - 140
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%@ 1869-1951
Y1 - 2002
PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.2002.0140
Abstract: In view of the risk of E-commerce and the response of the insurance industry to it, this paper is aimed at one important point of insurance, that is, estimation of financial loss ratio, which is one of the most difficult problems facing the E-insurance industry. This paper proposes a quantitative analyzing model for estimating E-insurance financial loss ratio. The model is based on gross income per enterprise and CSI/FBI computer crime and security survey. The analysis results presented are reasonable and valuable for both insurer and the insured and thus can be accepted by both of them. What we must point out is that according to our assumption, the financial loss ratio varied very little, 0.233% in 1999 and 0.236% in 2000 although there was much variation in the main data of the CSI/FBI survey.
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