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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
1

論產物保險業之內稽內控–就日月光公司案分析

羅錫標 Unknown Date (has links)
由於時代轉變、環境變遷,現行內部稽核之工作,除了顧及傳統之消極防弊,也轉變成積極降低公司不合理之浪費、提升效率與競爭力,創造公司財富極大化。因此,內部稽核制度於現行之保險業中擔任非常重要的角色。 對於國內產物保險業而言,內共保制度已著實運作了數十年之久,然而同業間長期建立之互信與依賴,卻因2005年5月1日發生之日月光公司火災事故,而衍生出國內產險同業間的紛爭與自身內部稽核制度的問題,使得我們對於產物保險業內部控制及內部稽核的意義、目的及執行方法產生更多的想法與看法。本研究針對日月光公司火災事故,進行個案討論,包含國內產險市場的內共保制度,並討論其中之缺失及對於國內產險同業間的互信與依賴。最後提供良好的解決方案,使保險人與被保險人之間達成雙贏的局面。 最後,本文籲請產物保險同業必須擬定相同之業績計算標準,將內共保案件歸屬於分進之再保業務呈現。如此,不僅可使整體市場業績統計的依據一致,也可讓損失率之統計更趨向真實,對於日後火險費率之擬訂有更正確的方向。
2

論費率自由化對產物保險公司商業火災保險自留業務風險管理之影響-以個案公司比較分析 / The affects of the commercial fire insurance net retention risks management after the rating liberalization – analysis study for specific insurer

鄭理中 Unknown Date (has links)
回顧自2002年4月1日起台灣開始實施費率自由化以來,在政府金融監督管理委員會的輔導下,朝著開放的方向邁進,先是費用總量管制,附加費用率之引進,及允許費率有限度的偏離等,都是在第一與第二階段施行,而巨大保額部分亦在第一階段就已開放,做為產險費率自由化的準備。第三階段,住宅與商業火險及任意車險費率可由產險業者自由訂定,消費者選擇產險公司投保時,費率選擇將更多樣化。 本論文重點在探討費率自由化對產物保險公司商業火災保險自留業務風險管理之影響,並進而剖析產險業為因應未來競爭與環境變遷,其商業火災保險自留業務之經營策略。且隨著全球氣候變遷與產業結構可能改變及產險監理政策之調整,產險業在風險評估與核保、資產的管理及新市場與新產品的開發,必須做整體政策及策略性的改變,才能因應未來改變所帶來的挑戰。 本研究結果發現,雖然台灣產險業面對費率自由化、環境與監理政策之調整與改變,在可預見之未來將面臨更複雜與更艱難的經營挑戰,惟就整體而言,簽單保費自留比例自2003年27.16 %一路攀升至2009年之44.33 %。且由個案公司分析可知,其在商業火險費率自由化實施後,特別是進入費率自由化第三階段,皆大幅提升其自留保費比例,以提升公司之自留風險承擔能力,期以提昇專業及獲利能力。因全球氣候變遷致近年天災事故頻仍,在加上重大工安事故頻傳;且商火巨大保額業務承保範圍較中小型保額業務完整(多為全險式保單),而保險公司承保費率(特別是天災保險)又明顯不足,使近2年整體商業火災保險及其天災險損失率急速攀升,上述情形正考驗著加速提升自留保費比率之產險公司自留風險管理(特別是天災風險)能力及獲利。
3

火災保險自負額運用之分析探討 / Analyses on the Usage of Deductibles in the Fire Insurance

張天皓, Chang,Sky Unknown Date (has links)
自負額之運用是保險人在承接業務時,掌控損失頻率與損失幅度的重要方法之一,適當的運用自負額可以穩定保險公司核保利潤營運績效,惟現行自負額仍有許多功能無法完全發揮,甚至造成實務上許多問題,故本文擬研究新型態自負額,以解決實務問題並發揮自負額之功能。 本文選擇以某產險公司實際理賠資料,探討新型態自負額的訂定方式對損失率結果之影響,另以問卷調查方式訪談六家保險公司核保及營業人員對於本文所述目前自負額制度優缺點及新型態自負額可行性之看法,結果顯示在問卷調查中本文所述目前自負額制度現況之優缺點及有關新型態自負額之可行性皆獲訪談者高度認同,在模擬實證上亦能達到對損失率影響不顯著之預期結果。 / Deductible is a key element for insurance companies to control loss frequency and loss severity. Appropriate deductible usage can stabilize underwriting profit for insurance companies. The constraints on present deductible conduct many problems in practice, so this paper proposes new-type deductible research to solve practical problem and develop optimal function of deductible. This article employs actual occurred loss database from one insurance company to study the impact on loss ratios with new-type deductible. Moreover, this paper also conducts qualitative interview survey approach to learn the viewpoints from underwriters and sales of six Taiwan insurance companies with merit and defect of present deductible and new-type deductible usage contained herein. The results show that merit and defect of present deductible and new-type deductible feasible contained herein is highly approved by interviewees. Besides, deductible usage is expected to have insignificant impact in increasing loss ratios through various case study simulations.
4

類神經網路在汽車保險費率擬訂的應用 / Artificial Neural Network Applied to Automobile Insurance Ratemaking

陳志昌, Chen, Chi-Chang Season Unknown Date (has links)
自1999年以來,台灣汽車車體損失險的投保率下降且損失率逐年上升,與強制第三責任險損失率逐年下降形成強烈對比,理論上若按個人風險程度計收保費,吸引價格認同的被保險人加入並對高風險者加費,則可提高投保率並且確保損失維持在合理範圍內。基於上述背景,本文採用國內某產險公司1999至2002年汽車車體損失保險資料為依據,探討過去保費收入與未來賠款支出的關係,在滿足不偏性的要求下,尋求降低預測誤差變異數的方法。 研究結果顯示:車體損失險存在保險補貼。以最小誤差估計法計算的新費率,可以改善收支不平衡的現象,但對於應該減費的低風險保戶,以及應該加費的高高風險保戶,以類神經網路推計的加減費系統具有較大加減幅度,因此更能有效的區分高低風險群組,降低不同危險群組間的補貼現象,並在跨年度的資料中具有較小的誤差變異。 / In the past five years, the insured rate of Automobile Material Damage Insurance (AMDI) has been declined but the loss ratio is climbing, in contrast to the decreasing trend in the loss ratio of the compulsory automobile liability insurance. By charging corresponding premium based on individual risks, we could attract low risk entrant and reflect the highly risk costs. The loss ratio can thus be modified to a reasonable level. To further illustrate the concept, we aim to take the AMDI to study the most efficient estimator of the future claim. Because the relationship of loss experience (input) and future claim estimation (output) is similar to the human brain performs. We can analyze the relation by minimum bias procedure and artificial neural network, reducing error with overall rate level could go through with minimum error of classes or individual, demonstrated using policy year 1999 to 2002 data. According to the thesis, cross subsidization exists in Automobile Material Damage Insurance. The new rate produced by minimum bias estimate can alleviate the unbalance between the premium and loss. However the neural network classification rating can allocate those premiums more fairly, where ‘fairly’ means that higher premiums are paid by those insured with greater risk of loss and vice-versa. Also, it is the more efficient than the minimum bias estimator in the panel data.
5

台灣壽險業健康保險損失率影響因素之探討 / The factors that influence the loss ratio of health insurance policies for life insurance companies in Taiwan

邱于君, Chiu, Yu Chun Unknown Date (has links)
本研究主要在探討台灣壽險業健康保險損失率之影響因素。首先,了解健康險損失率是否因為壽險公司規模不同而有顯著差異。再者,將壽險公司依主要專注之通路類型分為三類,包括業務員通路、經代通路以及其他通路,而觀察通路對於健康險損失率的影響情形。最後,藉由個體變數與總體變數之分析,期望以其他不同的角度協助保險公司未來對於損失率的風險控制。 研究結果發現: (一)當壽險公司之資產規模不同時,對於健康險損失率有顯著差異上的影響。大型壽險公司的平均健康險損失率顯著高於小型壽險公司之健康險平均損失率。 (二)壽險公司行銷通路的注重程度不同,確實會使健康保險損失率產生顯著的差異。研究結果發現其他通路運用程度越高的壽險公司,其健康險損失率顯著比使用經代人通路和業務員通路的壽險公司之損失率低。 (三)本研究發現健康險損失率受到總體因素的影響,一般而言比壽險公司個體因素的影響微弱。個體因素確實會顯著影響壽險公司健康險損失率,而且壽險公司不同的規模型態,其主要影響健康險損失率的因素亦會有所不同。 / This study examines the factors that influence the loss ratio of health insurance policies for life insurance companies in Taiwan. First, this thesis intends to investigate whether there are significant differences in loss ratios among insurers due to firm size. Secondly, the impact of marketing channels on health insurance loss ratio is analyzed where the distribution systems mainly used by insurers are divided into three categories: employee sales, agent/broker channel, and others. Finally, this study conducts regression analyses on the health insurance loss ratio with firm-specific and macroeconomic variables to help insurers in controlling risks in the future. The empirical results are shown as follows. 1.The loss ratios of health insurance vary significantly with firm size. The loss ratio of large insurance companies is significantly higher than that of small insurances companies. 2.Distribution system has a significant impact on the loss ratio of health insurance. When the insurer relies more on other channels, instead of employee sales and agent/broker, the insurer will have lower loss ratio. 3.The impact of macroeconomic variables on the loss ratio of health insurance is less than that of firm-specific variables. Additionally, the influential variables for loss ratio may be different between insurers of large and small sizes.

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