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VAR AND CTE BASED OPTIMAL REINSURANCE FROM A REINSURER'S PERSPECTIVE
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作者 Tao TAN Tao CHEN +2 位作者 Lijun WU Yuhong SHENG Yijun HU 《Acta Mathematica Scientia》 SCIE CSCD 2020年第6期1915-1927,共13页
In this article,we study optimal reinsurance design.By employing the increasing convex functions as the admissible ceded loss functions and the distortion premium principle,we study and obtain the optimal reinsurance ... In this article,we study optimal reinsurance design.By employing the increasing convex functions as the admissible ceded loss functions and the distortion premium principle,we study and obtain the optimal reinsurance treaty by minimizing the VaR(value at risk)of the reinsurer's total risk exposure.When the distortion premium principle is specified to be the expectation premium principle,we also obtain the optimal reinsurance treaty by minimizing the CTE(conditional tail expectation)of the reinsurer's total risk exposure.The present study can be considered as a complement of that of Cai et al.[5]. 展开更多
关键词 optimal reinsurance value at risk conditional tail expectation distortion premium principle expectation premium principle
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Tail asymptotic expansions for L-statistics
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作者 HASHORVA Enkelejd LING ChengXiu PENG ZuoXiang 《Science China Mathematics》 SCIE 2014年第10期1993-2012,共20页
We derive higher-order expansions of L-statistics of independent risks X1,..., Xn under conditions on the underlying distribution function F. The new results are applied to derive the asymptotic expansions of ratios o... We derive higher-order expansions of L-statistics of independent risks X1,..., Xn under conditions on the underlying distribution function F. The new results are applied to derive the asymptotic expansions of ratios of two kinds of risk measures, stop-loss premium and excess return on capital, respectively. Several examples and a Monte Carlo simulation study show the efficiency of our novel asymptotic expansions. Keywords smoothly varying condition, second-order regular variation, tail asymptotics, value-at-risk, con- ditional tail expectation, largest claims reinsurance, ratio of risk measure, excess return on capital 展开更多
关键词 smoothly varying condition second-order regular variation tail asymptotics VALUE-AT-RISK conditional tail expectation largest claims reinsurance ratio of risk measure excess return on capital 60E05 60F99
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OPTIMAL COMBINATIONAL OF QUOTA-SHARE AND STOP-LOSS REINSURANCE CONTRACTS UNDER VAR AND CTE WITH A CONSTRAINED REINSURANCE PREMIUM 被引量:4
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作者 Ming ZHOU Hongbin DONG Jingfeng XU 《Journal of Systems Science & Complexity》 SCIE EI CSCD 2011年第1期156-166,共11页
This paper considers the problem of minimizing the VaR and CTE of an insurer's retained risk by controlling the combinational quota-share and stop-loss reinsurance strategy. With a constrained reinsurance premium, th... This paper considers the problem of minimizing the VaR and CTE of an insurer's retained risk by controlling the combinational quota-share and stop-loss reinsurance strategy. With a constrained reinsurance premium, the authors give the explicit reinsurance forms and the minimal VaR and CTE of retained risk in the case of quota-share after stop-loss reinsurance and the case of stop-loss afterquota-share reinsurance respectively. Finally, the authors conclude that the quota-share after stop-loss is a better reinsurance strategy than stop-loss after quota-share to minimize the VaR and CTE with a same constrained reinsurance premium. And the pure stop-loss reinsurance is preferred for an insurer with a high level regulatory requirement. 展开更多
关键词 Conditioned tailed expectation (CTE) after quota-share Value at Risk (VaR). quota-share after stop-loss reinsurance stop-loss
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Dual representation of expectile-based expected shortfall and its properties
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作者 Mekonnen Tadese Samuel Drapeau 《Probability, Uncertainty and Quantitative Risk》 2021年第2期99-116,共18页
An expectile can be considered a generalization of a quantile.While expected shortfall is a quantile-based risk measure,we study its counterpart-the expectile-based expected shortfall-where expectile takes the place o... An expectile can be considered a generalization of a quantile.While expected shortfall is a quantile-based risk measure,we study its counterpart-the expectile-based expected shortfall-where expectile takes the place of a quantile.We provide its dual representation in terms of a Bochner integral.Among other properties,we show that it is bounded from below in terms of the convex combination of expected shortfalls,and also from above by the smallest law invariant,coherent,and comonotonic risk measures,for which we give the explicit formulation of the corresponding distortion function.As a benchmark to the industry standard expected shortfall,we further provide its comparative asymptotic behavior in terms of extreme value distributions.Based on these results,we finally explicitly compute the expectile-based expected shortfall for selected classes of distributions. 展开更多
关键词 Expectile Expected shortfall tail conditional expectation Dual representation Coherent risk measure
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