Explore the Business Individual Health Insurance''s Underwriting Cycle in Taiwan by Second-Order Autoregressive Model and Markov Switching Model
碩士 === 國立高雄第一科技大學 === 風險管理與保險所 === 96 === The main purpose of this paper are to validate the existence of individual health insurance''s underwriting cycle in Taiwan, and to discuss the variables which influence the underwriting cycle. This paper employs the Second-Order Autoregressive mod...
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ndltd-TW-096NKIT52180062019-05-15T19:28:28Z http://ndltd.ncl.edu.tw/handle/59f8m8 Explore the Business Individual Health Insurance''s Underwriting Cycle in Taiwan by Second-Order Autoregressive Model and Markov Switching Model 以二階自我迴歸模型與馬可夫轉換模型探討台灣商業個人健康保險之核保循環 Mei-Ting Wang 王美婷 碩士 國立高雄第一科技大學 風險管理與保險所 96 The main purpose of this paper are to validate the existence of individual health insurance''s underwriting cycle in Taiwan, and to discuss the variables which influence the underwriting cycle. This paper employs the Second-Order Autoregressive model to verify the existence of underwriting cycle. In addition, the cycle length of 5.74 months is also calculated. In model comparison, the prediction power of Second-Order Autoregressive model is superior to that of Markov Switching model. Furthermore, this paper discusses the relationship between several variables, i.e., the interest rate, GDP, rate of unemployment, medical expense (index) and loss ratio. The results find that the premium, loss, interest rate , medical expense (index) have influences on the loss ratio which suggests that the economic environment can explain partly the phenomenon of underwriting cycle. Shuo-Fen Hsu 許碩芬 2008 學位論文 ; thesis 43 zh-TW |
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碩士 === 國立高雄第一科技大學 === 風險管理與保險所 === 96 === The main purpose of this paper are to validate the existence of individual health insurance''s underwriting cycle in Taiwan, and to discuss the variables which influence the underwriting cycle. This paper employs the Second-Order Autoregressive model to verify the existence of underwriting cycle. In addition, the cycle length of 5.74 months is also calculated. In model comparison, the prediction power of Second-Order Autoregressive model is superior to that of Markov Switching model.
Furthermore, this paper discusses the relationship between several variables, i.e., the interest rate, GDP, rate of unemployment, medical expense (index) and loss ratio. The results find that the premium, loss, interest rate , medical expense (index) have influences on the loss ratio which suggests that the economic environment can explain partly the phenomenon of underwriting cycle.
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author2 |
Shuo-Fen Hsu |
author_facet |
Shuo-Fen Hsu Mei-Ting Wang 王美婷 |
author |
Mei-Ting Wang 王美婷 |
spellingShingle |
Mei-Ting Wang 王美婷 Explore the Business Individual Health Insurance''s Underwriting Cycle in Taiwan by Second-Order Autoregressive Model and Markov Switching Model |
author_sort |
Mei-Ting Wang |
title |
Explore the Business Individual Health Insurance''s Underwriting Cycle in Taiwan by Second-Order Autoregressive Model and Markov Switching Model |
title_short |
Explore the Business Individual Health Insurance''s Underwriting Cycle in Taiwan by Second-Order Autoregressive Model and Markov Switching Model |
title_full |
Explore the Business Individual Health Insurance''s Underwriting Cycle in Taiwan by Second-Order Autoregressive Model and Markov Switching Model |
title_fullStr |
Explore the Business Individual Health Insurance''s Underwriting Cycle in Taiwan by Second-Order Autoregressive Model and Markov Switching Model |
title_full_unstemmed |
Explore the Business Individual Health Insurance''s Underwriting Cycle in Taiwan by Second-Order Autoregressive Model and Markov Switching Model |
title_sort |
explore the business individual health insurance''s underwriting cycle in taiwan by second-order autoregressive model and markov switching model |
publishDate |
2008 |
url |
http://ndltd.ncl.edu.tw/handle/59f8m8 |
work_keys_str_mv |
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