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    题名: 遞延年金與終身壽險之利率風險分析
    Interest rate risk analysis of deferred annuity and whole life insurance
    作者: 蔣庭依
    Chiang, Ting Yi
    贡献者: 蔡政憲
    蔣庭依
    Chiang, Ting Yi
    关键词: 準備金
    Orthogonal-GARCH
    蒙地卡羅模擬
    VaR
    利率風險
    Reserve
    Orthogonal-GARCH
    Monte Carlo simulation
    VaR
    Interest rate risk
    日期: 2017
    上传时间: 2017-07-24 12:05:46 (UTC+8)
    摘要: 隨著利率頻頻走低，壽險業過去發行的保單皆面臨利差損問題，因應未來可能的龐大給付責任，勢必須關注準備金對利率變化的敏感度。本研究以不同保單年度與不同預定利率條件下，以遞延年金與終身壽險商品為例，分析利率波動對保險公司負債面影響，推估準備金分佈及衡量準備金價值變動之風險。
    本文以Orthogonal-GARCH模型估計利率動態，取代表性因子配適時間序列模型，再利用蒙地卡羅模擬利率隨機情境，長期利率採Smith-Wilson法配適，得到完整的利率期限結構。以VaR(Value at Risk)量化未來責任之風險，結果顯示預定利率高的情況下，需承擔較多的風險，而隨時間經過，準備金風險對整體負債影響性會降低。此外，在保單年度中期時，利率波動對準備金影響效果較明顯，視為保險商品生命週期的關鍵時期，此時對於利率風險的管理更為重要。
    With interest rates falling frequently, the life insurance company previously issued the policy is facing the problem of interest loss. In response to the possibility of future large payment of responsibility, it is important to pay attention to the sensitivity of the reserve to interest rate changes. With deferred annuity and whole life insurance products as an example, we analyze the impact of interest rate fluctuations on the liability of insurance companies, estimates the distribution of reserves and the risk of changes in reserve value based on different policy year and different actuarial assumption interest rate.
    In this paper, the Orthogonal-GARCH model is used to estimate the interest rate dynamics by selecting the representative factor to fit the time series model. The Monte Carlo method is used to simulate the interest rate stochastic situation, and the long-term interest rate is adopted by Smith-Wilson method to obtain the complete interest rate term structure. To quantify the risk of future liability by VaR, the results show that the high actuarial assumption interest rate policy to bear more risk, and over time the impact of reserve risk on overall liability will be reduced. In addition, in the middle of the policy year, the impact of interest rate fluctuations on the reserve effect is obvious, as a critical period of insurance product life cycle, so this period is more important for the management of interest rate risk.
    參考文獻: 1.Alexander, C.O. and Chibumba, A. 1996. Multivariate orthogonal factor GARCH. Discussion papers in Mathematics, University of Sussex.
    2.Alexander, C.O. 2000. Orthogonal methods for generating large positive semi‐definite covariance matrices. Discussion Papers in Finance 2000‐06, ISMA Centre.
    3.Alexander, C.O. 2001b. Orthogonal GARCH in C.O. Alexander (ed.), Mastering Risk, 2, 21-38. Financial Times-Prentice Hall.
    4.Beekman, J. A. and Fuelling, C. P. 1990. Interest and mortality randomness in some annuities. Insurance Mathematics and Economics, 9(2), 185-196.
    5.Beekman, J. A. and Fuelling, C. P. 1992. Extra randomness in certain annuity models. Insurance Mathematics and Economics, 10(4), 275-287.
    6.Beekman, J.A. and Fuelling, C.P. 1993. One approach to dual randomness in life insurance. Scandinavian Actuarial Journal, 1993(2), 173-182.
    7.Bollerslev, T. 1986. Generalized autoregressive conditional heteroscedasticity. Journal of Econometrics, 31(3), 307-327.
    8.Dickey, D. A., and Fuller, W. A. 1981. Likelihood ratio statistics for autoregressive time series with a unit root. Econometrica, 49(4), 1057-1072.
    9.Engle, R. F. 1982. Autoregressive conditional heteroscedasticity with estimates of the variance of United Kingdom inflation. Econometrica, 50(4), 987-1007.
    10.Hsieh, M., Hwang, Y., Kuo, W. and Tsai, C. 2014. On the way to estimate the risk of life insurance reserves. Academia Economic Papers, 42(3), 403–434.
    11.Lai, S. W., and Frees, E. W. 1995. Examining changes in reserves using stochastic interest models. Journal of Risk and Insurance, 62(3), 535-574.
    12.Panjer, H. H. and Bellhouse, D. R. 1980. Stochastic modelling of interest rates with applications to life contingencies. Journal of Risk and Insurance, 47, 91-110.
    13.Panjer, H. H. and Bellhouse, D. R. 1981. Stochastic modelling of interest rates with applications to life contingencies - part II. Journal of Risk and Insurance, 48, 628-637.
    14.Parker, G. 1994. Limiting distribution of the present value of a Portfolio. Astin bulletin, 24(01), 47-60.
    15.Parker, G. 1996. A portfolio of endowment policies and its limiting distribution. Astin bulletin, 26(01), 25-33.
    16.Parker, G. 1997. Stochastic analysis of the interaction between investment and insurance risks. North American Actuarial Journal, 1(2), 55-71.
    17.Pearson, K. 1901. On lines and planes of closest fit to systems of points in space. Philosophical Magazine, 2(11), 559-572.
    18.Phillips, P. C. B. 1988. Testing for a Unit Root in Time Series Regression. Biometrika, 75(2), 335-346.
    19.Smith A. and Wilson, T. 2001. Fitting yield curves with long term constraints. Research Notes, Bacon and Woodrow.
    20.中華民國精算學會，2014，人身保險業–保險合約負債公允價值評價精算實務處理準則。
    21.蔡政憲、郭維裕與謝明華，2006，《台灣保險監理之利率模型系統》，台北：行政院金融監督管理委員會九十四年度委託研究計畫。
    22.蔡政憲、郭維裕與謝明華，2011，《壽險業準備金評估方法之國際發展趨勢研究》，台北：行政院金融監督管理委員會九十九年度委託研究計畫。
    描述: 碩士
    國立政治大學
    風險管理與保險學系
    104358026
    資料來源: http://thesis.lib.nccu.edu.tw/record/#G0104358026
    数据类型: thesis
    显示于类别:[風險管理與保險學系] 學位論文

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