Please use this identifier to cite or link to this item: https://ah.lib.nccu.edu.tw/handle/140.119/54597
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dc.contributor.advisor黃泓智<br>楊曉文zh_TW
dc.contributor.author莊晉國zh_TW
dc.contributor.authorChuang, Chin Kuoen_US
dc.creator莊晉國zh_TW
dc.creatorChuang, Chin Kuoen_US
dc.date2011en_US
dc.date.accessioned2012-10-30T03:24:37Z-
dc.date.available2012-10-30T03:24:37Z-
dc.date.issued2012-10-30T03:24:37Z-
dc.identifierG0099358007en_US
dc.identifier.urihttp://nccur.lib.nccu.edu.tw/handle/140.119/54597-
dc.description碩士zh_TW
dc.description國立政治大學zh_TW
dc.description風險管理與保險研究所zh_TW
dc.description99358007zh_TW
dc.description100zh_TW
dc.description.abstract本篇論文主要討論在死亡率改善不確定性之下的避險策略。當保險公司負債面的人壽保單是比年金商品來得多的時候,公司會處於死亡率的風險之下。我們假設死亡率和利率都是隨機的情況,部分的死亡率風險可以經由自然避險而消除,而剩下的死亡率風險和利率風險則由零息債券和保單貼現商品來達到最適避險效果。我們考慮mean variance、VaR和CTE當成目標函數時的避險策略,其中在mean variance的最適避險策略可以導出公式解。由數值結果我們可以得知保單貼現的確是死亡率風險的有效避險工具。zh_TW
dc.description.abstractThis paper proposes hedging strategies to deal with the uncertainty of mortality improvement. When insurance company has more life insurance contracts than annuities in the liability, it will be under the exposure of mortality risk. We assume both mortality and interest rate risk are stochastic. Part of mortality risk is eliminated by natural hedging and the remaining mortality risk and interest rate risk will be optimally hedged by zero coupon bond and life settlement contract. We consider the hedging strategies with objective functions of mean variance, value at risk and conditional tail expectation. The closed-form optimal hedging formula for mean variance assumption is derived, and the numerical result show the life settlement is indeed a effective hedging instrument against mortality risk.en_US
dc.description.tableofcontentsABSTRACT I\nCONTENTS II\nLIST OF TABLES III\nLIST OF FIGURES IV\n1.INTRODUCTION 1\n2.MODELS SETTING 2\n2.1 INTEREST RATE AND MORTALITY RATE MODEL 2\n2.2.THE PROFIT FUNCTION 4\n2.3.ADJUSTING MORTALITY TABLE 6\n3.HEDGING APPROACHES 8\n4.NUMERICAL EXAMPLES 11\n5.CONCLUSIONS 22\nREFERENCE: 24\nAPPENDIX: 26\n1.KARUSH-KUHN-TUCKER (KKT) OPTIMALITY CONDITIONS: 26\n2.SOLUTION OF THE OPTIMAL HEDGING PROBLEM 26zh_TW
dc.language.isoen_US-
dc.source.urihttp://thesis.lib.nccu.edu.tw/record/#G0099358007en_US
dc.subject死亡率風險zh_TW
dc.subjectLee Carter modelzh_TW
dc.subjectCIR modelzh_TW
dc.subjectMaximum Entropy principlezh_TW
dc.subjectValue at riskzh_TW
dc.subjectConditional tail expectationzh_TW
dc.subjectKarush-Kuhn-Tuckerzh_TW
dc.subjectMortality risken_US
dc.subjectLee Carter modelen_US
dc.subjectCIR modelen_US
dc.subjectMaximum Entropy principleen_US
dc.subjectValue at risken_US
dc.subjectConditional tail expectationen_US
dc.subjectKarush-Kuhn-Tuckeren_US
dc.title保險公司因應死亡率風險之避險策略zh_TW
dc.titleHedging strategy against mortality risk for insurance companyen_US
dc.typethesisen
dc.relation.referenceBlake, D., and Burrows, W., 2001. “Survivor Bonds: Helping to Hedge Mortality Risk”, Journal of Risk and Insurance 68: 339-348.\nBrockett, P. L., 1991. Information Theoretic Approach to Actuarial Science: A Unification and Extention of Relevant Theory and Applications, Transactions of the Society of Actuaries, 42: 73-115\nCox, J. C., Ingersoll, Jr., J. E., and Ross, S. A., 1985. “A Theory of the Term Structure of Interest Rates”, Econometrica 53: 385-408.\nCox, S. H. and Y. Lin, 2007. Natural Hedging of Life and Annuity Mortality Risks,North American Actuarial Journal, 11(3): 1-15.\nDowd, K., Blake, D., Cairns, A. J. G., and Dawson, P., 2006. “Survivor Swaps”, Journal of Risk & Insurance 73: 1-17.\nHua Chen, Samuel H. Cox and Zhiqiang Yan, 2010. Hedging Longevity Risk in Life Settlements. Working paper.\nJohnny Siu-Hang Li, 2010. Pricing longevity risk with the parametric bootstrap: A maximum entropy approach, Insurance: Mathematics and Economics, 47:176-186.\nJohnny Siu-Hang Li and Andrew Cheuk-Yin NG.,2011. Canonical valuation of mortality-linked securities, The Journal of Risk and Insurance, Vol. 78, No. 4, 853-884\nKogure., A., and Kurachi, Y., 2010. A Bayesian Approach to Pricing Longevity Risk Based on Risk-Neutral Predictive Distributions, Insurance: Mathematics and Economics, 46:162-172.\nKuhn, H. W.; Tucker, A. W., 1951. &quot;Nonlinear programming&quot;. Proceedings of 2nd Berkeley Symposium. Berkeley: University of California press. pp. 481-492.\nKullback, S., and R. A. Leibler, 1951. On Information and Sufficiency, Annals of Mathematical Statistics, 22: 79-86.\nLee, R.D., Carter, L.R., 1992. Modeling and forecasting US mortality. Journal of the\nAmerican Statistical Association 87, 659_675.\nPflug, G., 2000. Some Remarks on the Value-at-Risk and the Conditional\nValue-at-Risk. S. Uryasev, ed. Probabilistic Constrained Optimization\nMethodology and Applications. Kluwer, Dordrecht, The Netherlands, 272–281.\nTrindade, A. A., S. Uryasev, A. Shapiro, and G. Zrazhevsky, 2007. Financial\nPrediction with Constrained Tail Risk. Journal of Banking and Finance 31 3524–\n3538.\nTsai, J.T., J.L. Wang, and L.Y. Tzeng, 2010. On the optimal product mix in life insurance companies using conditional Value at Risk, Insurance: Mathematics and Economics, 46, 235-241.\nWang, J.L., H.C. Huang, S.S. Yang, J.T. Tsai, 2010. An optimal product mix\nfor hedging longevity risk in life insurance companies: The immunization theory\napproach, The Journal of Risk and Insurance, Vol. 77, No. 2, 473-497.zh_TW
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