考慮族群間共同改善趨勢效果下之死亡率模型建構

臺灣的男女死亡率皆呈現逐年遞減的趨勢,自1993年進入高齡化社會後,預計將會在2018年進入高齡社會;人口不斷老化的結果讓社會上不論人民或是如保險公司等年金提供者皆面臨愈來愈嚴重的長壽風險;目前現有文獻提出了許多方式以解決長壽風險,其中多數的方法皆需使用到對未來死亡率之預估。 本研究為了能夠更準確的預估未來死亡率的趨勢,參考了Lee Carter (1992)所提出之模型以及Li and Lee (2005)、Li (2013)提出之共同改善趨勢效果,提出考慮商品與商品間以及商品與整體人口間共同改善趨勢之死亡率模型;本研究利用臺灣之保險公司壽險及年金業務經驗死亡率和Human Mort...

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Main Authors: 黃見桐, Hwang, Chien Tung
Language:中文
Published: 國立政治大學
Subjects:
Online Access:http://thesis.lib.nccu.edu.tw/cgi-bin/cdrfb3/gsweb.cgi?o=dstdcdr&i=sid=%22G1023580221%22.
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spelling ndltd-CHENGCHI-G10235802212016-02-19T03:27:42Z 考慮族群間共同改善趨勢效果下之死亡率模型建構 Mortality modeling based on traditional LC model and co-Improvement effect between populations 黃見桐 Hwang, Chien Tung 死亡率改善 Lee Carter模型 Coherent 模型 共同因子模型 自然避險 Mortality Improvement Lee Carter Model Coherent Model Common Factor Model Natural Hedging 臺灣的男女死亡率皆呈現逐年遞減的趨勢,自1993年進入高齡化社會後,預計將會在2018年進入高齡社會;人口不斷老化的結果讓社會上不論人民或是如保險公司等年金提供者皆面臨愈來愈嚴重的長壽風險;目前現有文獻提出了許多方式以解決長壽風險,其中多數的方法皆需使用到對未來死亡率之預估。 本研究為了能夠更準確的預估未來死亡率的趨勢,參考了Lee Carter (1992)所提出之模型以及Li and Lee (2005)、Li (2013)提出之共同改善趨勢效果,提出考慮商品與商品間以及商品與整體人口間共同改善趨勢之死亡率模型;本研究利用臺灣之保險公司壽險及年金業務經驗死亡率和Human Mortality Database之臺灣人口資料對模型進行配適,並以MAE、MAPE、RMSE三項指標比較與Lee Carter模型之優劣。 最後,本研究利用所配適之模型進行預測,模擬自然避險之效果,檢視臺灣保險業進行自然避險的可能效益,並對決策者在於決定是否要進行自然避險方面給出建議。 Taiwan became an aging society in 1993 and is expected to become an aged society in 2018. The progressive decrease in Taiwan mortality since the 20th century for both genders has made longevity risk a serious problem for both people and annuity provider in Taiwan. So far, the literature has discussed about how to deal with longevity risk and came out with several solutions which can be categorize as “industry self-insurance”, “ mortality projection improvement” and “capital market solutions” , most of them are related to the projection of mortality. In order to provide a more precise projection of future mortality trend, this article designs several models which collaborates Lee Carter Model (1992) and the common improvement trend suggested by Li and Lee (2005). Based on our models, the Taiwan insurance industry experience mortality data and the Taiwan population mortality data, we test the performance of our models and make comparison. Lastly, we use the model we find to project future mortality trend and try to make a simulation of natural hedging strategy in Taiwan. The purpose we do this is to test the performance of natural hedging method and give suggestion for the decision-maker when they are considering whether to execute a natural hedging strategy. 國立政治大學 http://thesis.lib.nccu.edu.tw/cgi-bin/cdrfb3/gsweb.cgi?o=dstdcdr&i=sid=%22G1023580221%22. text 中文 Copyright © nccu library on behalf of the copyright holders
collection NDLTD
language 中文
sources NDLTD
topic 死亡率改善
Lee Carter模型
Coherent 模型
共同因子模型
自然避險
Mortality Improvement
Lee Carter Model
Coherent Model
Common Factor Model
Natural Hedging
spellingShingle 死亡率改善
Lee Carter模型
Coherent 模型
共同因子模型
自然避險
Mortality Improvement
Lee Carter Model
Coherent Model
Common Factor Model
Natural Hedging
黃見桐
Hwang, Chien Tung
考慮族群間共同改善趨勢效果下之死亡率模型建構
description 臺灣的男女死亡率皆呈現逐年遞減的趨勢,自1993年進入高齡化社會後,預計將會在2018年進入高齡社會;人口不斷老化的結果讓社會上不論人民或是如保險公司等年金提供者皆面臨愈來愈嚴重的長壽風險;目前現有文獻提出了許多方式以解決長壽風險,其中多數的方法皆需使用到對未來死亡率之預估。 本研究為了能夠更準確的預估未來死亡率的趨勢,參考了Lee Carter (1992)所提出之模型以及Li and Lee (2005)、Li (2013)提出之共同改善趨勢效果,提出考慮商品與商品間以及商品與整體人口間共同改善趨勢之死亡率模型;本研究利用臺灣之保險公司壽險及年金業務經驗死亡率和Human Mortality Database之臺灣人口資料對模型進行配適,並以MAE、MAPE、RMSE三項指標比較與Lee Carter模型之優劣。 最後,本研究利用所配適之模型進行預測,模擬自然避險之效果,檢視臺灣保險業進行自然避險的可能效益,並對決策者在於決定是否要進行自然避險方面給出建議。 === Taiwan became an aging society in 1993 and is expected to become an aged society in 2018. The progressive decrease in Taiwan mortality since the 20th century for both genders has made longevity risk a serious problem for both people and annuity provider in Taiwan. So far, the literature has discussed about how to deal with longevity risk and came out with several solutions which can be categorize as “industry self-insurance”, “ mortality projection improvement” and “capital market solutions” , most of them are related to the projection of mortality. In order to provide a more precise projection of future mortality trend, this article designs several models which collaborates Lee Carter Model (1992) and the common improvement trend suggested by Li and Lee (2005). Based on our models, the Taiwan insurance industry experience mortality data and the Taiwan population mortality data, we test the performance of our models and make comparison. Lastly, we use the model we find to project future mortality trend and try to make a simulation of natural hedging strategy in Taiwan. The purpose we do this is to test the performance of natural hedging method and give suggestion for the decision-maker when they are considering whether to execute a natural hedging strategy.
author 黃見桐
Hwang, Chien Tung
author_facet 黃見桐
Hwang, Chien Tung
author_sort 黃見桐
title 考慮族群間共同改善趨勢效果下之死亡率模型建構
title_short 考慮族群間共同改善趨勢效果下之死亡率模型建構
title_full 考慮族群間共同改善趨勢效果下之死亡率模型建構
title_fullStr 考慮族群間共同改善趨勢效果下之死亡率模型建構
title_full_unstemmed 考慮族群間共同改善趨勢效果下之死亡率模型建構
title_sort 考慮族群間共同改善趨勢效果下之死亡率模型建構
publisher 國立政治大學
url http://thesis.lib.nccu.edu.tw/cgi-bin/cdrfb3/gsweb.cgi?o=dstdcdr&i=sid=%22G1023580221%22.
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