The Impact of Distribution Channel on the Probability of Loss for Group Insurance

碩士 === 國立臺灣大學 === 財務金融學研究所 === 106 === This study analyzes the group insurance data of X Life Insurance Company in 2015 to find the impact of marketing channel on the probabilities of loss and loss ratio for group insurance.We use logistic regression to establish a discriminant model and conduct a l...

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Main Authors: Te-Hsuan Chen, 陳德萱
Other Authors: Tzu-Ting Lin
Format: Others
Language:zh-TW
Published: 2018
Online Access:http://ndltd.ncl.edu.tw/handle/y9du4s
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spelling ndltd-TW-106NTU053040412019-05-16T01:00:03Z http://ndltd.ncl.edu.tw/handle/y9du4s The Impact of Distribution Channel on the Probability of Loss for Group Insurance 銷售通路對團體保險損失發生機率之影響 Te-Hsuan Chen 陳德萱 碩士 國立臺灣大學 財務金融學研究所 106 This study analyzes the group insurance data of X Life Insurance Company in 2015 to find the impact of marketing channel on the probabilities of loss and loss ratio for group insurance.We use logistic regression to establish a discriminant model and conduct a linear regression analysis to explore the influential variables for loss ratio. The results suggest that although the difference of customer characteristics between channels is visible, group insurance policies sold by different channels don’t cause different probability loss and loss ratio. We also find that numbers of company’s employees, employee ratio, occupational classes and years of relationship with customers are significant factors to predict the probability of loss for group insurance; Numbers of company’s employees, industry categories and locations affect the loss ratio. The findings of this study offer some insights into pricing and underwriting strategy to the X-life insurance company to improve its group insurance business. Tzu-Ting Lin 林姿婷 2018 學位論文 ; thesis 31 zh-TW
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language zh-TW
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description 碩士 === 國立臺灣大學 === 財務金融學研究所 === 106 === This study analyzes the group insurance data of X Life Insurance Company in 2015 to find the impact of marketing channel on the probabilities of loss and loss ratio for group insurance.We use logistic regression to establish a discriminant model and conduct a linear regression analysis to explore the influential variables for loss ratio. The results suggest that although the difference of customer characteristics between channels is visible, group insurance policies sold by different channels don’t cause different probability loss and loss ratio. We also find that numbers of company’s employees, employee ratio, occupational classes and years of relationship with customers are significant factors to predict the probability of loss for group insurance; Numbers of company’s employees, industry categories and locations affect the loss ratio. The findings of this study offer some insights into pricing and underwriting strategy to the X-life insurance company to improve its group insurance business.
author2 Tzu-Ting Lin
author_facet Tzu-Ting Lin
Te-Hsuan Chen
陳德萱
author Te-Hsuan Chen
陳德萱
spellingShingle Te-Hsuan Chen
陳德萱
The Impact of Distribution Channel on the Probability of Loss for Group Insurance
author_sort Te-Hsuan Chen
title The Impact of Distribution Channel on the Probability of Loss for Group Insurance
title_short The Impact of Distribution Channel on the Probability of Loss for Group Insurance
title_full The Impact of Distribution Channel on the Probability of Loss for Group Insurance
title_fullStr The Impact of Distribution Channel on the Probability of Loss for Group Insurance
title_full_unstemmed The Impact of Distribution Channel on the Probability of Loss for Group Insurance
title_sort impact of distribution channel on the probability of loss for group insurance
publishDate 2018
url http://ndltd.ncl.edu.tw/handle/y9du4s
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