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Risk measures with comonotonic subadditivity or convexity on product spaces 被引量:1
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作者 WEI Lin-xiao MA Yue HU Yi-jun 《Applied Mathematics(A Journal of Chinese Universities)》 SCIE CSCD 2015年第4期407-417,共11页
In this paper, by an axiomatic approach, we propose the concepts of comonotonic subadditivity and comonotonic convex risk measures for portfolios, which are extensions of the ones introduced by Song and Yan (2006). ... In this paper, by an axiomatic approach, we propose the concepts of comonotonic subadditivity and comonotonic convex risk measures for portfolios, which are extensions of the ones introduced by Song and Yan (2006). Representation results for these new introduced risk measures for portfolios are given in terms of Choquet integrals. Links of these newly introduced risk measures to multi-period comonotonic risk measures are represented. Finally, applications of the newly introduced comonotonic coherent risk measures to capital allocations are provided. 展开更多
关键词 Choquet integral comonotonic subadditivity risk measure comonotonic convex risk measure multi-period risk measure capital allocation product space.
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Risk-based Optimal Investment and Proportional Reinsurance of an Insurer with Hidden Regime Switching
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作者 Xing-chun PENG Yi-jun HU 《Acta Mathematicae Applicatae Sinica》 SCIE CSCD 2016年第3期755-770,共16页
In this paper, we study the optimal investment and proportional reinsurance strategy for an insurer in a hidden Markov regime-switching environment. A risk-based approach is considered, where the insurer aims at selec... In this paper, we study the optimal investment and proportional reinsurance strategy for an insurer in a hidden Markov regime-switching environment. A risk-based approach is considered, where the insurer aims at selecting an optimal strategy with a view to minimizing the risk described by a convex risk measure of its terminal wealth. We solve the problem in two steps. First, we employ the filtering theory to turn the optimization problem with partial observations into one with complete observations. Second, by using BSDEs with jumps, we solve the problem with complete observations. 展开更多
关键词 INVESTMENT REINSURANCE hidden Markov chain convex risk measure backward stochastic differential equation
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Upper risk bounds in internal factor models with constrained specification sets
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作者 Jonathan Ansari Ludger Ruschendorf 《Probability, Uncertainty and Quantitative Risk》 2020年第1期38-67,共30页
For the class of(partially specified)internal risk factor models we establish strongly simplified supermodular ordering results in comparison to the case of general risk factor models.This allows us to derive meaningf... For the class of(partially specified)internal risk factor models we establish strongly simplified supermodular ordering results in comparison to the case of general risk factor models.This allows us to derive meaningful and improved risk bounds for the joint portfolio in risk factor models with dependence information given by constrained specification sets for the copulas of the risk components and the systemic risk factor.The proof of our main comparison result is not standard.It is based on grid copula approximation of upper products of copulas and on the theory of mass transfers.An application to real market data shows considerable improvement over the standard method. 展开更多
关键词 risk bounds risk factor model Supermodular order convex order convex risk measure Upper product of bivariate copulas COMONOTONICITY
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