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Conference Paper: Optimal reinsurance to minimize drawdown probability for a risk model with thinning dependence

TitleOptimal reinsurance to minimize drawdown probability for a risk model with thinning dependence
Authors
Issue Date2019
PublisherSchool of Mathematical Sciences, Dalian University of Technology.
Citation
The IMS-China International Conference on Statistics and Probability, Dalian, China, 6-10 July 2019 How to Cite?
AbstractIn this talk, we consider the optimal proportional reinsurance problem for a risk model with thinning dependence with the objective of minimizing the probability that the value of the surplus process drops below some fixed proportion of its maximum value to date which is known as the probability of drawdown. Applying stochastic control theory and the corresponding Hamilton-Jacobi-Bellman equation, we derive the optimal reinsurance strategy and the corresponding minimum probability of drawdown not only for the expected value principle but also for the variance premium principle. For illustration purpose, some numerical examples are presented to show the impact of model parameters on the optimal results.
DescriptionInvited Sessions in Probability: IP25:Optimal control in actuarial mathematics
Jointly hosted by IMS-China and Dalian University of Technology
Persistent Identifierhttp://hdl.handle.net/10722/271515

 

DC FieldValueLanguage
dc.contributor.authorYuen, KC-
dc.date.accessioned2019-07-02T10:14:17Z-
dc.date.available2019-07-02T10:14:17Z-
dc.date.issued2019-
dc.identifier.citationThe IMS-China International Conference on Statistics and Probability, Dalian, China, 6-10 July 2019-
dc.identifier.urihttp://hdl.handle.net/10722/271515-
dc.descriptionInvited Sessions in Probability: IP25:Optimal control in actuarial mathematics-
dc.descriptionJointly hosted by IMS-China and Dalian University of Technology-
dc.description.abstractIn this talk, we consider the optimal proportional reinsurance problem for a risk model with thinning dependence with the objective of minimizing the probability that the value of the surplus process drops below some fixed proportion of its maximum value to date which is known as the probability of drawdown. Applying stochastic control theory and the corresponding Hamilton-Jacobi-Bellman equation, we derive the optimal reinsurance strategy and the corresponding minimum probability of drawdown not only for the expected value principle but also for the variance premium principle. For illustration purpose, some numerical examples are presented to show the impact of model parameters on the optimal results.-
dc.languageeng-
dc.publisherSchool of Mathematical Sciences, Dalian University of Technology.-
dc.relation.ispartofIMS-China International Conference on Statistics and Probability, 2019-
dc.titleOptimal reinsurance to minimize drawdown probability for a risk model with thinning dependence-
dc.typeConference_Paper-
dc.identifier.emailYuen, KC: kcyuen@hku.hk-
dc.identifier.authorityYuen, KC=rp00836-
dc.identifier.hkuros298146-
dc.publisher.placeChina-

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