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    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/159699


    Title: 變額萬能壽險脫退率影響因素之實證研究
    On the Factors Affecting the Surrender and Lapse Behavior of Variable Universal Life Insurance Contracts
    Authors: 鍾沂臻
    Chung, Yi-Chen
    Contributors: 蔡政憲
    Tsai, Cheng-Hsien
    鍾沂臻
    Chung, Yi-Chen
    Keywords: 變額萬能壽險
    解約
    失效
    脫退
    羅吉斯迴歸分析
    Variable Universal Life Insurance
    Surrender
    Lapse
    Logistic Regression Models
    Date: 2025
    Issue Date: 2025-10-02 11:10:27 (UTC+8)
    Abstract: 本研究旨在探討影響變額萬能壽險保單脫退行為之保戶特徵因素,並進一步分析主動性解約(surrender)與被動性失效(lapse)兩類脫退型態之異質性。傳統對脫退行為的研究多將二者合併分析,忽略其背後動機與行為特徵之差異,恐導致風險評估與商品管理策略失真。為彌補此一研究缺口,本文以台灣某中型壽險公司2002年至2018年間所承保之變額萬能壽險契約資料為實證基礎,納入性別、婚姻狀態、投保年齡、職業風險等級與保額等個體層面變數,分別運用二元羅吉斯迴歸與廣義羅吉斯迴歸模型進行實證分析。
    研究結果顯示,保戶個體特徵對解約與失效行為之影響方向與顯著性不盡相同。年輕族群、高風險職業、未婚者與婚姻狀態改變者之脫退傾向較高,尤其在投保年齡為15至24歲的年輕保戶其脫退率顯著高於其他年齡層,而65歲以上的保戶脫退率最低。性別部分女性的解約率顯著高於男性,而失效率則反之。保額越高解約率與失效率皆越低。
    本研究有助於壽險業者辨識高脫退風險族群,發展針對性之商品設計與留存策略,亦可作為保險監理機關與會計制度制定者理解保戶行為與保單穩定性之重要參考,並對未來進一步納入宏觀經濟變數與保單制度設計因素之多層次研究提供基礎。
    This study examines how policyholder characteristics influence policy discontinuation in variable universal life (VUL) insurance and, in particular, the heterogeneity between voluntary surrender and involuntary lapse. Prior research often combines these outcomes, overlooking differences in motivations and behavioral profiles that can distort risk assessment and product management. Using administrative records for VUL contracts underwritten by a mid-sized life insurer in Taiwan from 2002 to 2018, we include individual-level covariates — sex, marital status, issue age, occupational risk level, and policy face amount — and estimate binary logistic regression and generalized logit (multinomial logistic) models to analyze surrender and lapse separately.
    Empirical results indicate that the direction and significance of effects differ across discontinuation types. Younger policyholders, those in higher-risk occupations, unmarried individuals, and those experiencing changes in marital status exhibit higher discontinuation propensities. The 15–24 age group shows a significantly higher discontinuation rate than other age cohorts, whereas policyholders aged 65 and above display the lowest rates. By sex, women have significantly higher surrender rates than men, while men exhibit higher lapse rates. Higher policy face amounts are associated with lower probabilities of both surrender and lapse.
    These findings help insurers identify high-risk segments and inform targeted product design and retention strategies. They also provide regulators and standard setters with evidence on policyholder behavior and portfolio stability, and they motivate future multi-level research that incorporates macroeconomic factors and policy design features.
    Reference: Adams, M., Andersson, L. F., Lindmark, M., Eriksson, L., & Veprauskaite, E. (2020). Managing policy lapse risk in Sweden's life insurance market between 1915 and 1947. Business History, 62(2), 222–239. https://www.tandfonline.com/doi/full/10.1080/00076791.2017.1418331
    Barsotti, F., Milhaud, X., & Salhi, Y. (2016). Lapse risk in life insurance: Correlation and contagion effects among policyholders’ behaviors. Insurance: Mathematics and Economics, 71, 317–331. https://hal.science/hal-01282601v2/file/BarsottiMilhaudSalhi_revised_IME_201609.pdf
    Dar, A., & Dodds, C. (1989). Interest rates, the emergency fund hypothesis and saving through endowment policies – Some empirical evidence for the UK. Journal of Risk and Insurance, 56(3), 415–433. https://www.jstor.org/stable/253166
    Eling, M., & Kiesenbauer, D. (2014). What policy features determine life insurance lapse? An analysis of the German market. Journal of Risk and Insurance, 81(2), 241–269. https://onlinelibrary.wiley.com/doi/abs/10.1111/j.1539-6975.2012.01504.x
    European Central Bank. (2022). Life Insurance Convexity. ECB Working Paper Series No. 2829. https://www.ecb.europa.eu/pub/pdf/scpwps/ecb.wp2829~f36cabd504.en.pdf?f70b4fbeb13e611b677d61a9f887f337
    Fier, S. G., & Liebenberg, A. P. (2013). Life insurance lapse behavior. North American Actuarial Journal, 17(2), 153–167. https://www.proquest.com/scholarly-journals/life-insurance-lapse-behavior/docview/1494716773/se-2
    Gemmo, I., & Götz, M. (2016). Life insurance and demographic change: An empirical analysis of surrender decisions based on panel data (ICIR Working Paper Series No. 24/16). International Center for Insurance Regulation, Goethe University Frankfurt. https://ideas.repec.org/p/zbw/icirwp/2416.html
    Ghimire, B., Adhikari, S., & Sharma, R. (2024). Policyholder surrender behavior in the Nepalese life insurance industry. Interdisciplinary Journal of Innovation in Nepalese Academia, 3(2), 89–102. https://ojed.org/jina/article/view/8279
    Greenwald, D. L., Landvoigt, T., & Van Nieuwerburgh, S. (2021). Aggregate Lapsation Risk. American Economic Association. https://www.researchgate.net/publication/228481596_Modeling_Insurance_Surrenders_by_the_Negative_Binomial_Model
    Hwang, Y., Chan, L. F.-S., & Tsai, C. J. (2022). On Voluntary Terminations of Life Insurance: Differentiating Surrender Propensity From Lapse Propensity Across Product Types. North American Actuarial Journal, 26(2), 252–282. https://ideas.repec.org/a/taf/uaajxx/v26y2022i2p252-282.html
    Huang, H.-T., Hwang, Y., Chan, L. F.-S., & Tsai, C. J. (2024). Value-enhancing modeling of surrenders and lapses. Insurance: Mathematics and Economics, 119, 48–63. https://doi.org/10.1016/j.insmatheco.2024.07.004
    Kagraoka, Y. (2005). Modeling insurance surrenders by the negative binomial model. Musashi University. https://www.researchgate.net/publication/228481596
    Kiesenbauer, D. (2012). Main determinants of lapse in the German life insurance industry. North American Actuarial Journal, 16(1), 52–73. https://www.tandfonline.com/doi/abs/10.1080/10920277.2012.10590632
    Kim, C., 2005a, Modeling Surrender and Lapse Rates with Economic Variables, North American Actuarial Journal, 9(4): 56-70. https://ideas.repec.org/a/taf/uaajxx/v9y2005i4p56-70.html
    Koijen, R. S. J., Lee, H. K., & Van Nieuwerburgh, S. (2022). Aggregate Lapsation Risk. NBER Working Paper No. 30187. http://www.nber.org/papers/w30187
    Kuo, W. Y., Tsai, C. S., & Chen, W. K. (2003). An empirical study on the lapse rate: The cointegration approach. Journal of Risk and Insurance, 70(3), 489–508. https://ideas.repec.org/a/bla/jrinsu/v70y2003i3p489-508.html
    Linton, N. A. (1932). Panics and Cash Values. Transactions of the Actuarial Society of America, 38, 365-394.
    Milhaud, X., Loisel, S., & Maume-Deschamps, V. (2011). Surrender triggers in life insurance: what main features affect the surrender behavior in a classical economic context? https://hal.science/hal-00450003v1
    Outreville, J. F. (1990). Whole-life insurance lapse rates and the emergency fund hypothesis. Insurance: Mathematics and Economics, 9(3), 249–255. https://www.sciencedirect.com/science/article/abs/pii/016766879090002U
    Renshaw, A. E., & Haberman, S. (1986). Statistical analysis of life assurance lapses. Journal of the Institute of Actuaries, 113(3), 459–497. https://doi.org/10.1017/S0020268100042566
    Russell, D. T., Fier, S. G., Carson, J. M., & Dumm, R. E. (2013). An empirical analysis of life insurance policy surrender activity. Journal of Insurance Issues, 36(1), 35–57. https://ideas.repec.org/a/wri/journl/v36y2013i1p35-57.html
    Tsai, C., Kuo, W., & Chen, W.-K. (2002). Early surrender and the distribution of policy reserves. Insurance: Mathematics and Economics, 31(3), 429–445. https://ideas.repec.org/a/eee/insuma/v31y2002i3p429-445.html
    Description: 碩士
    國立政治大學
    風險管理與保險學系
    112358012
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0112358012
    Data Type: thesis
    Appears in Collections:[風險管理與保險學系] 學位論文

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