台灣壽險業近年來面對利差損、國內低利環境，與國內長天期投資工具不足的窘境，因而保險法第146-4條修正後，壽險業者擴大持有國外投資部位。本研究以海外債券投資作為國外投資代理變數，探討海外債券投資與壽險公司之營運風險、經營績效的關係。採用2008年至2016年，共25家壽險公司不平衡追蹤資料，以OLS、Panel Data兩種統計方法作實證分析，再以金融海嘯到歐債危機的時間點，劃分成前期(2008年-2011年)、後期(2012年-2016年)作比較分析。 根據全期資料之分析：以線性模型來看，海外債券投資與營運風險為顯著負相關；和經營績效則是顯著正相關。若是非線性模型，海外債券投資與營運風險為U型相關，臨界點在18.83%。分期資料之分析則顯示：前期資料結果與全期資料一致。但後期資料的研究結果出現反轉，在線性模型下，海外債券投資與營運風險呈現顯著正相關，和經營績效則呈現顯著負相關；而非線性模型下，海外債券和營運風險的U型相關，臨界點下降至13.56%。 / In recent years, life insurers in Taiwan face the spread loss of interest rate, low interest rate environment and shortage of long-term instruments. Life insurers started to expand their foreign investments after the amendment of Article 146-4 of Insurance Act in 1992. This study aims to investigate the relations among overseas bonds investment, operational risk and business performance of life insurers. Data is composed of 25 life insurers from 2008 to 2016. With consideration of the global financial crisis and European debt crisis, this study then divides the data into two subsets (before and after the crises). The results shows that under the linear model there is a significant negative relation between overseas bonds and operational risk, but a significant positive relation between overseas bonds and business performance. Under non-linear model there is a significant U-shaped relationship between overseas bonds and operational risk, with the critical point at 18.83%. The results for the subset data before the crises (2008-2011) is consistent with the based on the whole data (2008-2016). However, the analysis for the subset data after the crises (2012-2016) display different result. Under the linear model, the relation between overseas bonds and operational risk is positive, but it is negative between overseas bonds and business performance. Additionally, the critical point of that U-shaped relationship between overseas bonds and operational risk under the non-linear model drops to 13.56%.

邇來，數家壽險公司，包含2009年之國華人壽、2014年之國寶人壽與幸福人壽以及2016年之朝陽人壽，陸續遭主管機關金融監督管理委員會（下稱金管會）宣布接管，並委由保險安定基金辦理國華人壽、國寶人壽與幸福人壽之標售退場程序。上開問題壽險業之資本適足率未達法定標準或淨值為負時，金管會與相關單位未立即積極處理，甚而遭監察院糾正金管會未正視問題保險業退場法制之缺失並加以修正改善。面對問題壽險業失卻清償能力之窘境，立法機關在問題保險業退場法制上有幅度甚廣之修法，先後自2014年6月4日公布調整安定基金之權限與問題保險業之監理措施，以及參照外國立法例增訂過渡保險機制；2015年2月4日則修正公布資本適足率標準之分級，進而明確制定主管機關得採取之監理措施與其效果。 　　然而，其中有關過渡保險機制之立意雖屬良善，相關法制架構，付之闕如。考察美國、加拿大與日本等國家之保戶保障機制，有以過渡保險機構處理問題壽險業之經驗與制度，為貫徹有效維持保戶保障之處理原則，若我國保戶保障機制除承接問題保險業之保險契約外，另設過渡保險公司承接問題保險業之資產、負債與營業，具有重大實益。參酌他國之實務經驗與制度，本文建議《保險法》第149條之2第3項規定，對於所謂過度保險機制應提高位階，修改為以保險法明訂或以保險法明確授權之法規命令立法方式，授權主管機關得就過渡保險機構之具體內容與範圍加以明訂相關辦法。另考量我國保險法制與監理環境，且實務慣例上多委託保險安定基金擔任接管人，由其發揮過渡機構之功能而自行承接問題保險業之保險契約，實乃治絲益棻。本文建議未來管理辦法應應以保險安定基金透過設立過渡保險公司承接問題保險業之資產、負債與營業為宜。

本研究對曾經以直效行銷方式購買保險的台灣地區消費者，根據各縣市人口比例進行隨機分層抽樣，共發出問卷5066份回收有效問卷913份，並以PZB衡量服務品質模型中的感受的服務 (Perceived Service) 變數做為區隔市場的基礎。經多變量統計分析，將DM、TM、Agent三個行銷管道中各自區隔出三種消費族群；銀行保險管道區隔出四個消費集群。每一個集群配合卡方檢定，對購買壽險的「利益因素」與構成知覺風險高低因素中的「價格/意願」、「商品知識/偏好」「態度/涉入」、「訊息來源/管道偏好」與「人口統計變數」共六個行為變數來解釋集群的行為特徵。研究發現： 1. DM管道消費者(831人)的行為特徵在「利益因素」為便宜、保險是理財套餐一部份、透過其他商品而購買；在「商品知識/偏好」為終身險、儲蓄險、重大疾病險、團體險、意外險；在「態度/涉入」重視的為是否有專人服務與諮詢、與接觸訊息時點有關；在「訊息來源/管道偏好」為業務員、郵局；在「人口統計變數」為年齡集中於23~37歲(71%)、教育程度集中於高中~大學(89%)、居住地區北部(39%)、南部(30%)、中部(26%)。 2. TM管道消費者(57人)的行為特徵在「利益因素」為保險是理財套餐一部份、透過介紹後喜歡並購買；在「商品知識/偏好」為終身險、儲蓄險；在「態度/涉入」重視的為是否有專人服務與諮詢；在「訊息來源/管道偏好」為業務員、TM；在「人口統計變數」為男性居多(68%)。 3. Agent管道消費者(839人)的行為特徵在「利益因素」為購買程序方便、信賴金融機構知名度；在「商品知識/偏好」為重大疾病險、團體險；在「態度/涉入」重視的為是否有專人服務與諮詢、與接觸時點有關、保障內容保費高低、接觸與了解的過程、售後服務、購後滿意程度；在「訊息來源/管道偏好」為業務員、金融機構櫃檯；在「人口統計變數」為年齡集中於23~44歲(83%)、教育程度集中於高中~大學(88%)、職業以民營職員、自由業、自營商人、公教人員。 4. 銀行保險管道消費者(101人)的行為特徵在「利益因素」為信賴金融機構知名度；在「商品知識/偏好」為儲蓄險；在「態度/涉入」重視的為購後滿意程度；在「人口統計變數」為家庭收入9萬以下(80%)、婚姻狀況已婚佔55%。 / This paper investigates the Taiwan's consumers who ever bought insurance by way of direct marketing channel. According to both of random stratified sampling and the proportion of each state's populations, we mail out 5066 articles of questionnaire and gain the 913 effective responses totally. The variable of segment is "perceived service" which is from the PZB model of 1994's version. With the multivariate analysis, we get 3 clusters on each marketing channel of DM, TM, Agent, and 4 clusters on Bancassurance. To each cluster, we apply χ2 Test to test whether it is significant to those behavior factors which are "Interest for buying insurance", "Price/Intention", "Product knowledge/Preference", "Attitude/Involvement", "Information/Channel", and "Population profile". ┌────┬─────┬─────┬─────┬─────┬─────┬─────┐ │ │Interest │Price/ │Product │Attitude/ │Informati-│Population│ │ │buying │Intention │knowledge/│Involveme-│on/Channel│profile │ │ │insurance │ │Preference│nt │ │ │ ├────┼─────┼─────┼─────┼─────┼─────┼─────┤ │DM │Cheaper, │ │Whole life│Consultant│Agent,post│Age │ │ │One stop │ │, Endowme-│exist or │office │between 23│ │ │shopping, │ │nt Dread │not, The │ │and 37, │ │ │Cross │ │disease, │dealing │ │education │ │ │buying │ │group │moment, │ │between │ │ │ │ │insurance,│ │ │high │ │ │ │ │accident, │ │ │school and│ │ │ │ │ │ │ │university│ │ │ │ │ │ │ │resident │ │ │ │ │ │ │ │area on │ │ │ │ │ │ │ │north, │ │ │ │ │ │ │ │middle of │ │ │ │ │ │ │ │Taiwan │ ├────┼─────┼─────┼─────┼─────┼─────┼─────┤ │TM │One stop │ │Whole │ │Agent │Male(68％)│ │ │shopping, │ │life, │ │ │ │ │ │Acceptance│ │Endowment,│ │ │ │ │ │after │ │ │ │ │ │ │ │explanati-│ │ │ │ │ │ │ │on │ │ │ │ │ │ ├────┼─────┼─────┼─────┼─────┼─────┼─────┤ │Agent │Convention│ │Group life│Consultant│Agnet, │Age betwe-│ │ │, Trust │ │, Dread │exist or │Bancassur-│en 23 and │ │ │ │ │disease, │not, The │ance, │44, Educa-│ │ │ │ │ │dealing │ │tion │ │ │ │ │ │moment, │ │between │ │ │ │ │ │Contents │ │high scho-│ │ │ │ │ │and price,│ │ol and │ │ │ │ │ │The deali-│ │university│ │ │ │ │ │ng process│ │, │ ├────┼─────┼─────┼─────┼─────┼─────┼─────┤ │Bancass-│Trust, │ │Endowment │Emphasis │ │Family │ │urance │ │ │ │the satis-│ │income │ │ │ │ │ │faction │ │below │ │ │ │ │ │ │ │NT90000, │ │ │ │ │ │ │ │married │ │ │ │ │ │ │ │(55％), │ └────┴─────┴─────┴─────┴─────┴─────┴─────┘

隨著我國壽險業資產比率快速增加，投資績效不但影響眾多保戶的權益，更影響整體經濟之安定，但面臨現今全球金融和經濟環境劇烈動盪，加上壽險同業間激烈競爭的情況，我國壽險公司如何訂定投資策略做好資產配置，對壽險公司的營運健全而言相當重要。現行保險法第一百四十六條限制壽險公司的投資上限，但法令限制對壽險公司資產配置的影響為何，本研究將透過Markowitz的平均數－變異數投資組合模式對我國整體壽險業及國泰人壽、南山人壽、新光人壽及富邦人壽探討之；並以夏普指數、崔納指數及詹森指數，評估上述四家壽險公司之資金運用績效；另藉由分析壽險業之資金成本是否低於實際投資率，以達成研究壽險業長期資產配置之穩健度。 本研究主要結論如下：1.運用Markowitz 投資組合模型所推導出的效率前緣，以最大Sharpe Measure評估，不受法令限制下所建立之最佳投資組合，較有受法令限制下所建立之最佳投資組合的期望報酬率高，且分散風險的效果較佳。2.整體壽險業及前四大壽險公司之實際投資報酬率皆低於其實際投資組合之期望報酬，顯示壽險業於資金運用的靈活度及績效性有改善的空間。3.以績效評估指標求出前四大壽險公司的資金運用績效，發現新光人壽在此三項評估指標皆位居最後；國泰人壽在評估中皆名列前茅。4.新光人壽的平均實際報酬率低於平均資金成本，應控管好資金成本並加強投資組合之績效；富邦人壽平均實際報酬率高過平均資金成本最多，顯示富邦人壽在資金成本控管及投資績效有良好之表現。整體壽險業的實際報酬率亦高於平均資金成本，顯示我國壽險業於營運狀況正常。 / With the life insurance companies’ assets ratio rapidly increasing, the investment performances affect not only the right of a number of policy holders, but also affect the economic stability. However, facing the dynamic global financial and economic environment and the keen competition in the domestic life insurance industry, the life insurance companies need to adopt the proper investment strategy. Law of Insurance 146th p restricts the investment upper limit of the life insurance company. This research will use Markowitz MV model to discuss the influence of this investment restriction on life insurance companies’ asset allocation by the samples of Life industry, Cathay Life Insurance, Nan Shan Life Insurance, Shin Kong Life Insurance, and Fubon Life Insurance, and evaluate the performances of these four life insurance companies by Sharpe ratio, Treynor ratio, and Jensen’s measure. This research also analyze the cost of capital and real rate of return of these companies to examine the stability of life insurance industry’s long term asset allocation. The conclusions of this research are as follows: 1.Evaluated by the Markowitz efficient frontier and the Sharpe measure, there is the higher expected rate of return and better diversification with no investment restriction. 2.The actual rates of return of the life insurance industry and the above four life insurance companies are below the expected rates of returns of their portfolio evaluated be the Sharpe measure, which means the life insurance industry need to prove their capital allocation. 3. Comparing the performance of the life insurance companies by the performance indicator, we find the then Shin Kong Life Insurance is the last, while Cathay Life Insurance has a good score. 4. We also find the real rate of return of Shin Kong Life Insurance is lower than its cost of capital, which means Shin Kong Life Insurance need to adjust its cost of capital and the investment performance. Meanwhile, Fubon Life Insurance is the excellent in controlling the cost of capital and investment. The real rate of return of the Life insurance industry is higher than its cost of capital, and that shows the Life insurance industry has normal operation.