Mean filed verification theorem

2021 ◽  
Vol 21 (2) ◽  
pp. 253-267
Author(s):  
Alain Bensoussan ◽  
SingRu (Celine) Hoe ◽  
Joohyun Kim ◽  
Zhongfeng Yan
Keyword(s):  
Verification Theorem

scholarly journals Optimal Investment and Consumption for Multidimensional Spread Financial Markets with Logarithmic Utility

Stats ◽  
2021 ◽  
Vol 4 (4) ◽  
pp. 1012-1026
Author(s):  
Sahar Albosaily ◽  
Serguei Pergamenchtchikov
Keyword(s):  
Financial Markets ◽  
Numerical Simulations ◽  
Financial Market ◽  
Optimal Investment ◽  
Optimal Consumption ◽  
Dynamical Programming ◽  
Verification Theorem ◽  
Logarithmic Utility ◽  
Hamilton Jacobi Bellman ◽  
Optimal Investment And Consumption

We consider a spread financial market defined by the multidimensional Ornstein–Uhlenbeck (OU) process. We study the optimal consumption/investment problem for logarithmic utility functions using a stochastic dynamical programming method. We show a special verification theorem for this case. We find the solution to the Hamilton–Jacobi–Bellman (HJB) equation in explicit form and as a consequence we construct optimal financial strategies. Moreover, we study the constructed strategies with numerical simulations.

scholarly journals A Stochastic Differential Equation Driven by Poisson Random Measure and Its Application in a Duopoly Market

2020 ◽  
Vol 2020 ◽  
pp. 1-12
Author(s):  
Tong Wang ◽  
Hao Liang
Keyword(s):  
Differential Equation ◽  
Stochastic Differential Equation ◽  
Finite Number ◽  
Random Measure ◽  
Approximate Solutions ◽  
The Other ◽  
Poisson Random Measure ◽  
Verification Theorem ◽  
Hamilton Jacobi Bellman ◽  
Duopoly Market

We investigate a stochastic differential equation driven by Poisson random measure and its application in a duopoly market for a finite number of consumers with two unknown preferences. The scopes of pricing for two monopolistic vendors are illustrated when the prices of items are determined by the number of buyers in the market. The quantity of buyers is proved to obey a stochastic differential equation (SDE) driven by Poisson random measure which exists a unique solution. We derive the Hamilton-Jacobi-Bellman (HJB) about vendors’ profits and provide a verification theorem about the problem. When all consumers believe a vendor’s guidance about their preferences, the conditions that the other vendor’s profit is zero are obtained. We give an example of this problem and acquire approximate solutions about the profits of the two vendors.

scholarly journals Robust Optimal Excess-of-Loss Reinsurance and Investment Problem with Delay and Dependent Risks

2019 ◽  
Vol 2019 ◽  
pp. 1-21
Author(s):  
Yan Zhang ◽  
Peibiao Zhao
Keyword(s):  
Investment Strategy ◽  
Risky Asset ◽  
Exponential Utility ◽  
Heston Model ◽  
Verification Theorem ◽  
Terminal Wealth ◽  
Investment Problem ◽  
Dependent Risks ◽  
Insurance Business ◽  
Explicit Expressions

This paper investigates a robust optimal excess-of-loss reinsurance and investment problem with delay and dependent risks for an ambiguity-averse insurer (AAI). The AAI’s wealth process is assumed to be two dependent classes of insurance business. He/she can purchase excess-of-loss reinsurance from the reinsurer and invest in a risk-free asset and a risky asset whose price follows Heston model. We obtain the explicit expressions of the optimal excess-of-loss reinsurance and investment strategy by maximizing the expected exponential utility of AAI’s terminal wealth. Finally, we give the proof of the verification theorem. Our models and results posed here can be regarded as a generalization of the existing results in the literature.

scholarly journals Optimal Dynamic XL Reinsurance

2003 ◽  
Vol 33 (2) ◽  
pp. 193-207 ◽  
Author(s):  
Christian Hipp ◽  
Michael Vogt
Keyword(s):  
Ruin Probability ◽  
Bellman Equation ◽  
Compound Poisson Process ◽  
Risk Process ◽  
Infinite Time ◽  
Verification Theorem ◽  
Hamilton Jacobi Bellman Equation ◽  
Optimal Dynamic ◽  
Xl Reinsurance ◽  
Hamilton Jacobi Bellman

We consider a risk process modelled as a compound Poisson process. We find the optimal dynamic unlimited excess of loss reinsurance strategy to minimize infinite time ruin probability, and prove the existence of a smooth solution of the corresponding Hamilton-Jacobi-Bellman equation as well as a verification theorem. Numerical examples with exponential, shifted exponential, and Pareto claims are given.

scholarly journals Optimal Dynamic XL Reinsurance

2003 ◽  
Vol 33 (02) ◽  
pp. 193-207 ◽  
Author(s):  
Christian Hipp ◽  
Michael Vogt
Keyword(s):  
Ruin Probability ◽  
Bellman Equation ◽  
Compound Poisson Process ◽  
Risk Process ◽  
Infinite Time ◽  
Verification Theorem ◽  
Hamilton Jacobi Bellman Equation ◽  
Optimal Dynamic ◽  
Xl Reinsurance ◽  
Hamilton Jacobi Bellman

We consider a risk process modelled as a compound Poisson process. We find the optimal dynamic unlimited excess of loss reinsurance strategy to minimize infinite time ruin probability, and prove the existence of a smooth solution of the corresponding Hamilton-Jacobi-Bellman equation as well as a verification theorem. Numerical examples with exponential, shifted exponential, and Pareto claims are given.

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