预测
預測
예측
FORECASTING
2014年
6期
71-75
,共5页
巨灾再保险费率%偿付规模%敏感性%蒙特卡罗模拟
巨災再保險費率%償付規模%敏感性%矇特卡囉模擬
거재재보험비솔%상부규모%민감성%몽특잡라모의
catastrophe reinsurance rate%solvency%sensitivity%Monte Carlo simulation
本文从再保险人角度对我国巨灾再保险偿付规模与费率的敏感性进行了研究。为此,引入资产—负债—利率动态模型并根据我国地震、洪水损失分布,采用蒙特卡罗方法对我国巨灾再保险偿付规模与公平定价费率的敏感性进行了实证研究,研究结果表明:提高巨灾再保险的偿付规模,能够降低巨灾再保险公平定价费率,从而得到更适合市场的可行性定价,使投保人更愿意购买巨灾保险;对于市场可接受的费率,我国地震灾害再保险适宜的偿付规模在103亿元量级,而洪水灾害再保险适宜规模在105亿元量级,两者的差异主要是由我国地震、洪水损失分布不同造成的。基于上述实证研究结果并结合我国国情,提出了我国开展巨灾再保险的发展策略与政策建议。
本文從再保險人角度對我國巨災再保險償付規模與費率的敏感性進行瞭研究。為此,引入資產—負債—利率動態模型併根據我國地震、洪水損失分佈,採用矇特卡囉方法對我國巨災再保險償付規模與公平定價費率的敏感性進行瞭實證研究,研究結果錶明:提高巨災再保險的償付規模,能夠降低巨災再保險公平定價費率,從而得到更適閤市場的可行性定價,使投保人更願意購買巨災保險;對于市場可接受的費率,我國地震災害再保險適宜的償付規模在103億元量級,而洪水災害再保險適宜規模在105億元量級,兩者的差異主要是由我國地震、洪水損失分佈不同造成的。基于上述實證研究結果併結閤我國國情,提齣瞭我國開展巨災再保險的髮展策略與政策建議。
본문종재보험인각도대아국거재재보험상부규모여비솔적민감성진행료연구。위차,인입자산—부채—리솔동태모형병근거아국지진、홍수손실분포,채용몽특잡라방법대아국거재재보험상부규모여공평정개비솔적민감성진행료실증연구,연구결과표명:제고거재재보험적상부규모,능구강저거재재보험공평정개비솔,종이득도경괄합시장적가행성정개,사투보인경원의구매거재보험;대우시장가접수적비솔,아국지진재해재보험괄의적상부규모재103억원량급,이홍수재해재보험괄의규모재105억원량급,량자적차이주요시유아국지진、홍수손실분포불동조성적。기우상술실증연구결과병결합아국국정,제출료아국개전거재재보험적발전책략여정책건의。
Due to high frequency and great loss of natural disasters occurred in China, catastrophic insurance and rein-surance are in great demand. This paper concentrates on the sensitivity between catastrophic reinsurance solvency and rate based on the earthquake loss and flood loss in China. For this purpose, catastrophe reinsurance rates are evaluated by Monte Carlo simulation and the parameter sensitivities of solvency and asset/liability ratio on the reinsurance rates are investigated. According to the acceptable rate by the market and catastrophe loss distribution in China, the simulation results show that earthquake reinsurance solvency is required to be ¥ 100 billion and flood reinsurance solvency to be ¥ 10000 billion. The great gap of both scales is mainly due to the difference of earthquake loss distribution and flood loss distribution. Based on the research in the paper, policy suggestions are offered on the implementation of catastrophe reinsurance in China.