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A Heston local-stochastic volatility model for optimal investment-reinsurance strategy with a defaultable bond in an ambiguous environment
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作者 Ge Wang Menglei Huang +2 位作者 Qing Zhou weixing wu Weilin Xiao 《Probability, Uncertainty and Quantitative Risk》 2023年第4期499-522,共24页
This study considers an optimal investment and reinsurance problem involving a defaultable security for an insurer in an ambiguous environment.In other words,the insurer is ambiguous about the insurance claim that is ... This study considers an optimal investment and reinsurance problem involving a defaultable security for an insurer in an ambiguous environment.In other words,the insurer is ambiguous about the insurance claim that is exponentially distributed with an uncertain rate parameter.The insurer can purchase proportional reinsurance and invest its wealth in three assets:a risk-free asset,a risky asset,the price process of which satisfies the Heston local-stochastic volatility model,and a defaultable corporate bond.For the optimal investment–reinsurance objective with a smooth ambiguity utility proposed by Klibanoff,P.,Marinacci,M.,and Mukerji,S.[A smooth model of decision making under ambiguity,Econometrica,2005,73(6):1849-1892],the equilibrium strategy is introduced and the extended Hamilton–Jacobi–Bellman equation is established through a stochastic control approach.However,the analytical solution of the strategy under the Heston local-stochastic volatility model cannot be obtained because of the complicated nonlinearity of the partial differential equation.In this study,we employ a perturbation method to derive an asymptotic solution for the post-and pre-default cases.In addition,we present a sensitivity analysis to explain the impact of model parameters on the equilibrium investment–reinsurance strategy. 展开更多
关键词 Smooth ambiguity utility Heston local-stochastic volatility model Perturbation method Investment and reinsurance Defaultable bond
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次分数Black-Scholes模型的套利机会 被引量:1
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作者 肖炜麟 周清 吴卫星 《中国科学:数学》 CSCD 北大核心 2021年第11期1877-1894,共18页
为了刻画金融时间序列的长记忆性和非平稳性,众多学者采用次分数Brown运动来描述金融资产价格变化的行为模式.然而,次分数Brown运动不是半鞅,能否直接将其应用于金融市场一直是金融数学领域的热点问题.基于Hurst指数H>1/2情形下次分... 为了刻画金融时间序列的长记忆性和非平稳性,众多学者采用次分数Brown运动来描述金融资产价格变化的行为模式.然而,次分数Brown运动不是半鞅,能否直接将其应用于金融市场一直是金融数学领域的热点问题.基于Hurst指数H>1/2情形下次分数Brown运动Donsker逼近定理,本文研究几何次分数Brown运动框架下金融市场的套利问题.首先,采用Skorokhod拓扑下的随机游走理论,构建一个弱收敛于次分数Brown运动驱动的Black-Scholes市场模型.其次,利用积分不等式和次分数二元市场理论证明次分数Brown运动驱动的Black-Scholes金融模型存在套利机会.最后,采用Monte Carlo模拟说明套利发生的可能性,并展示套利发生过程. 展开更多
关键词 次分数Brown运动 弱收敛 随机游走 套利机会
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