臺灣博碩士論文加值系統

C-2風險主要是捕捉保險公司錯誤定價的風險，此篇論文考慮死亡率改善的情況，利用蒙地卡羅模擬，模擬不同險種不同投資組合下，保險公司所承擔的錯誤定價風險。結果發現在死亡率改善的情況下，保險公司在定期險、養老險、終生險、終身還本險承擔的錯誤定價風險較小,但生存險的錯誤定價風險相對提高。現行C2係數可能高估前4項險種的風險，而低估生存險風險。

The risk-based capital formula developed by the National Association of Insurance Commissioners (NAIC) help insurance providers to assess the risk inherent in an insurer’s contractual obligations and asset portfolio. The risks in the C-2 category (C-2 risk) arise from the likelihood of inappropriate pricing. The purpose of this study is to examine the effects of death improvement on the mispricing risk. Simulations were conducted on three portfolios of 1,000 lives, 10,000 lives, and 100,000 lives respectively, with each life subjected each year to specific mortality and lapse rates. The models also considered the death dividends. The risk factors for the simulations were targeted at the 95% confidence level. The result indicates that with death improvement, insurance companies suffer lower mispricing risks from term, endowment, whole life polices as well as from whole life with survival benefit policies, yet they are likely to suffer a higher risk from pure endowment insurances.

1.Introduction…………………………………………………………1
2.The Simulation Model………..……………………………......3
2.1 Mortality Rates………...…………………………………....5
2.2 Lapse Rates………...………………………………………....7
2.3 Net Amount of Risk…...………………………………….....7
3.Findings……………………………………………………....…..7
4.Scenario Analysis………….…………………………………....8
5.Conclusion..........................……………… .......9
References…………………………………………………..……...28

A E Renshaw, S Haberman, On the Forecasting of Mortality Reduction Factors. Insurance Mathematics & Economics. Amsterdam: Jul 21, 2003. Vol. 32, Iss. 3; p. 379
Carlos Wong-Fupuy, Steven Haberman, Projecting Mortality Trends: Recent Developments in the United Kingdom and the United States, North American Actuarial Journal, Schaumburg: Apr 2004.Vol.8, Iss. 2; pg. 56, 28 pgs
NAIC, Raising the Safety Net: Risk-Based Capital for Life Insurance Companies. NAIC, 1994.
Ronald Lee, Timothy Miller, Evaluating the Performance of the Lee-Carter Method for Forecasting Mortality, Demography. Washington: Nov 2001. Vol. 38, Iss. 4; p. 537 (13 pages)
Ronald D. Lee, Lawrence R. Carter, Modeling and Forecasting U.S. Mortality-Comment/Reply, Journal of the American Statistical Association. Alexandria: Sep 1992. Vol. 87, Iss. 419; p. 659 (13 pages)
Society of Actuaries Group Annuity Valuation Table Task Force, 1994 Group Annuity Mortality Table and 1994 Group Annuity Reserve Table, Transactions of Society of Actuaries 1995 VOL.47
Thomas Buettner, Approaches And Experience In Projecting Mortality Patterns For The Oldest-Old, North American Actuarial Journal. Schaumburg: Jul 2002. Vol. 6, Iss. 3; p. 14 (16 pages)
Tuljapurkar, S. and Boe, C., Mortality Change and Forecasting: How Much and How Little Do We Know? , North American Actuarial Journal, 1998, 2(4), 13-47
Yue, C.J., Graduation: The Application of Statistics in Insurance. 1997, Yeh-Yeh Bookstore, Taipei.
行政院經濟建設委員會人力規劃處(2004,5)，中華民國台灣地區民國93年至140年人口推計
行政院內政部(1982-2002)，民國71年到91年中華民國台閩地區人口統計
壽險公會，臺灣壽險業個人壽險年度經驗死亡率及解約失效研究報告民國71年到91年，壽險同業公會
余清祥、連宏銘，1999/3， “台灣地區死亡率現況的時証研究”，壽險季刊，第111期，2-16。
“現行解決方法的潛在問題”，「壽命延長對保險業的衝擊」研討會，報告人：政治大學統計系余清祥,工作小組：政大風管所碩士生林銘寬、政大風管所碩士生葉政瑋，2005年3月18日
“壽命延長對保險公司之挑戰”， 「壽命延長對保險業的衝擊」研討會，報告人：政治大學統計系余清祥，工作小組：政大風管系大學部鄭雅丰、政大風管所碩士生許鳴遠，2005年3月18日