Establishment and Application of Lapse Rate Model

碩士 === 國立政治大學 === 風險管理與保險研究所 === 100 === In this article, we focus on the causes and the features of lapse rate including year, sex, size, underwriting method, premium payment mode, policy year, interest rate and interest rate difference by collecting and analyzing the empirical data of endowment, w...

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Main Authors: Peng,Wen Hui, 彭文慧
Other Authors: 黃泓智
Format: Others
Language:zh-TW
Online Access:http://ndltd.ncl.edu.tw/handle/34472240538535902736
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spelling ndltd-TW-100NCCU52180142016-05-22T04:32:44Z http://ndltd.ncl.edu.tw/handle/34472240538535902736 Establishment and Application of Lapse Rate Model 脫退率模型之建構與應用―台灣壽險資料 Peng,Wen Hui 彭文慧 碩士 國立政治大學 風險管理與保險研究所 100 In this article, we focus on the causes and the features of lapse rate including year, sex, size, underwriting method, premium payment mode, policy year, interest rate and interest rate difference by collecting and analyzing the empirical data of endowment, whole life insurance and term life insurance in Taiwan from Taiwan Insurance Institute. Then we take factors that have effect with lapse rate into account to establish model, and we hope to accurately estimate the lapse rate of endowment, whole life insurance and term life insurance in Taiwan by these models, and assist the life insurance companies’ financial decision making. After analyzing, we find the most effective factor of this study is the policy year, which means the year after issuing, so we take this one as our primary consideration of our lapse rate model. Then we add the interest rate difference and interest rate in the further two models. Beside this, we further consider the important factors in the part of analysis and put it in the fourth model by using Logistic Regression Model. Finally, we apply these four models to the policy reserve of life insurance company by taking endowment policy as an example simulating the cash flow. We find that the results was same as Tsai et al. (2002) that distribution of policy reserve is strongly affected by interest rate risk, but can decrease interest rate risk the company have to face in the future by adding our lapse rate models, especially the policy year model, and the fourth lapse rate model which count into most factors was not the same as Tsai et al. producing result between policy year model and the policy- interest rate model. From the results of all the lapse rate model. We can know that considering different factors in the model will bring such distinct contribution amount of reserve for life insurance company. 黃泓智 學位論文 ; thesis 54 zh-TW
collection NDLTD
language zh-TW
format Others
sources NDLTD
description 碩士 === 國立政治大學 === 風險管理與保險研究所 === 100 === In this article, we focus on the causes and the features of lapse rate including year, sex, size, underwriting method, premium payment mode, policy year, interest rate and interest rate difference by collecting and analyzing the empirical data of endowment, whole life insurance and term life insurance in Taiwan from Taiwan Insurance Institute. Then we take factors that have effect with lapse rate into account to establish model, and we hope to accurately estimate the lapse rate of endowment, whole life insurance and term life insurance in Taiwan by these models, and assist the life insurance companies’ financial decision making. After analyzing, we find the most effective factor of this study is the policy year, which means the year after issuing, so we take this one as our primary consideration of our lapse rate model. Then we add the interest rate difference and interest rate in the further two models. Beside this, we further consider the important factors in the part of analysis and put it in the fourth model by using Logistic Regression Model. Finally, we apply these four models to the policy reserve of life insurance company by taking endowment policy as an example simulating the cash flow. We find that the results was same as Tsai et al. (2002) that distribution of policy reserve is strongly affected by interest rate risk, but can decrease interest rate risk the company have to face in the future by adding our lapse rate models, especially the policy year model, and the fourth lapse rate model which count into most factors was not the same as Tsai et al. producing result between policy year model and the policy- interest rate model. From the results of all the lapse rate model. We can know that considering different factors in the model will bring such distinct contribution amount of reserve for life insurance company.
author2 黃泓智
author_facet 黃泓智
Peng,Wen Hui
彭文慧
author Peng,Wen Hui
彭文慧
spellingShingle Peng,Wen Hui
彭文慧
Establishment and Application of Lapse Rate Model
author_sort Peng,Wen Hui
title Establishment and Application of Lapse Rate Model
title_short Establishment and Application of Lapse Rate Model
title_full Establishment and Application of Lapse Rate Model
title_fullStr Establishment and Application of Lapse Rate Model
title_full_unstemmed Establishment and Application of Lapse Rate Model
title_sort establishment and application of lapse rate model
url http://ndltd.ncl.edu.tw/handle/34472240538535902736
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