dc.creatorAzcue, Pablo
dc.creatorMuler, Nora
dc.creatorLiang, Xiaoqing
dc.creatorYoung, Virginia R.
dc.date.accessioned2023-06-14T20:40:28Z
dc.date.accessioned2024-08-01T16:52:38Z
dc.date.available2023-06-14T20:40:28Z
dc.date.available2024-08-01T16:52:38Z
dc.date.created2023-06-14T20:40:28Z
dc.date.issued2023
dc.identifierhttps://repositorio.utdt.edu/handle/20.500.13098/11875
dc.identifierhttps://doi.org/10.1137/21M1461666
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9536770
dc.description.abstractIn this paper, we consider an optimal reinsurance problem to minimize the probability of drawdown for the scaled Cram´er-Lundberg risk model when the reinsurance premium is computed according to the mean-variance premium principle. We extend the work of Liang et al. [16] to the case of minimizing the probability of drawdown. By using the comparison method and the tool of adjustment coefficients, we show that the minimum probability of drawdown for the scaled classical risk model converges to the minimum probability for its diffusion approximation, and the rate of convergence is of order O(n−1/2). We further show that using the optimal strategy from the diffusion approximation in the scaled classical risk model is O(n−1/2)-optimal
dc.publisherSIAM Journal on Financial Mathematics
dc.relationAzcue, P., Liang, X., Muler, N., & Young, V. R. (2023). Optimal Reinsurance to Minimize the Probability of Drawdown under the Mean-Variance Premium Principle: Asymptotic Analysis. SIAM Journal on Financial Mathematics, 14(1), 279–313. https://doi.org/10.1137/21m1461666
dc.rightshttps://creativecommons.org/licenses/by-sa/2.5/ar/
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectOptimal reinsurance
dc.subjectProbability of drawdown
dc.subjectScaled Cram´er-Lundbergmodel
dc.subjectAsymptotic analysis
dc.subjectDiffusion approximation
dc.titleOptimal Reinsurance to Minimize the Probability of Drawdown under the Mean-Variance Premium Principle: Asymptotic Analysis
dc.typeinfo:eu-repo/semantics/article


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