The Prediction of Continuity of Basic Endowment Insurance Fund Based on Markov Chain and Actuarial

  • Guofeng Liu
  • Shaobin Huang
  • Tianyang Lv
  • Yuan Cheng
Chapter
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 126)

Abstract

Basic endowment insurance is an important part of social insurance. At present, the researches on the continuity of basic endowment insurance fund are mainly actuarial methods which come from commercial insurance. To handle the uncertainty in social insurance, the paper proposes an analysis mechanism which adopts massive real data and founds on actuarial model and various forecasting methods. Firstly, after analysing the data and the characteristics of basic endowment insurance of China, the paper establishes the actuarial model of fund balance and uses various forecasting methods to predict the influencing factors of fund. Secondly, the Markov chain is used to forecast the number of the attendees that play different roles as paying and receiving. Finally, actuarial model and forecasting methods are combined to forecast the continuity of the endowment insurance fund. The experimental result shows the performance of our method is effective and feasible.

Keywords

Insurance Fund Forecast Method State Transition Probability Insured Person Actuarial Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  • Guofeng Liu
    • 1
  • Shaobin Huang
    • 1
  • Tianyang Lv
    • 1
  • Yuan Cheng
    • 1
  1. 1.College of Computer Science and TechnologyHarbin Engineering UniversityHarbinChina

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