DocumentCode :
2968295
Title :
Research on the Predicting Models of Insurance Premium during the 12th Five-Year in China´s Insurance
Author :
Zhao, Changli ; Zhang, Zhulin ; Gong, Ke
Author_Institution :
Automobile Dept., Shandong Jiaotong Univ., Jinan, China
fYear :
2011
fDate :
12-14 Aug. 2011
Firstpage :
1
Lastpage :
4
Abstract :
Insurance premium is a very important index for the developing situations of insurance. Based on the temporal series data of insurance premium over the past ten years, this article probes into the predicting methods for insurance premium based on grey system theory, sets up grey information renewal GM (1 , 1) models pointing against the demerits of the traditional GM (1, 1) models, and then it makes predictions about the scale of insurance premium during 12th Five-Year Plan. Results of study can provide a reliable basis for science decisions on problems concerning about insurance.
Keywords :
grey systems; insurance; public finance; China Insurance; grey information renewal; grey system theory; insurance premium; temporal series data; Accuracy; Biological system modeling; Data models; Indexes; Insurance; Investments; Predictive models;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Management and Service Science (MASS), 2011 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6579-8
Type :
conf
DOI :
10.1109/ICMSS.2011.5998452
Filename :
5998452
Link To Document :
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