• 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