博碩士論文 103428027 完整後設資料紀錄

DC 欄位 語言
DC.contributor財務金融學系zh_TW
DC.creator李綾zh_TW
DC.creatorLing Leeen_US
dc.date.accessioned2016-7-25T07:39:07Z
dc.date.available2016-7-25T07:39:07Z
dc.date.issued2016
dc.identifier.urihttp://ir.lib.ncu.edu.tw:88/thesis/view_etd.asp?URN=103428027
dc.contributor.department財務金融學系zh_TW
DC.description國立中央大學zh_TW
DC.descriptionNational Central Universityen_US
dc.description.abstract本研究的目的在以美國精算實務所提出之隨機模型來建構模擬台灣利率與股價報酬率情境,並進行現金流量測試,探討其結果對保單責任準備金適足性之影響。台灣自民國一百年起規定,精算簽證人員須採隨機現金流量測試之方式,來評估保單之適足性與否。本研究首先以台灣市場資料配適隨機模型,並以傳統終身壽險為例,計算其保費與保單責任準備金,以最適之模型來模擬出一千組公債利率與股價報酬率未來三十年的情境,將其帶入現金流量測試中,以條件尾端期望值百分之六十五作為標準,進行保單準備金適足性測試。本文最終以Academy模型來模擬利率情境、CAS-SOA模型來模擬股價情境,在設定的資產配置下,保單責任準備金是適足的。zh_TW
dc.description.abstractThe purpose of this research is to apply two financial scenario generator models - CAS-SOA financial scenario model and AAA financial scenario model proposed in the actuarial practice in the U.S., to produce a set of interest rate scenarios and equity return scenarios for the actuarial use in Taiwan. We first calibrate the stochastic models and select the best fitted model to produce the economic scenarios. We then model the cash flow and discuss the influences of the results on reserve adequacy test. In Taiwan, the appointed actuary must use the stochastic cash flow testing to assess the adequacy of reserve since 2001. This paper takes traditional life insurance as an example to calculate the premiums and reserves. According to the best fitted model, we use AAA model to produce interest rate scenarios and use CAS-SOA model to produce equity returns scenarios. The results show that the reserves are adequate under the setting asset allocation.en_US
DC.subject保單責任準備⾦金zh_TW
DC.subject隨機現⾦金流量測試zh_TW
DC.subjectStochastic Cash Flow Testingen_US
DC.subjectliability reserve adequacyen_US
DC.title隨機模型建構在保險業現金流量測試之應用zh_TW
dc.language.isozh-TWzh-TW
DC.titleThe Application of Stochastic Models in Insurer’s Cash Flow Testingen_US
DC.type博碩士論文zh_TW
DC.typethesisen_US
DC.publisherNational Central Universityen_US

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