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Optimal Consumption under Uncertainties: Random Horizon Stochastic Dynamic Roy’s Identity and Slutsky Equation
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作者 David W. K. Yeung 《Applied Mathematics》 2014年第2期263-284,共22页
This paper extends Slutsky’s classic work on consumer theory to a random horizon stochastic dynamic framework in which the consumer has an inter-temporal planning horizon with uncertainties in future incomes and life... This paper extends Slutsky’s classic work on consumer theory to a random horizon stochastic dynamic framework in which the consumer has an inter-temporal planning horizon with uncertainties in future incomes and life span. Utility maximization leading to a set of ordinary wealth-dependent demand functions is performed. A dual problem is set up to derive the wealth compensated demand functions. This represents the first time that wealth-dependent ordinary demand functions and wealth compensated demand functions are obtained under these uncertainties. The corresponding Roy’s identity relationships and a set of random horizon stochastic dynamic Slutsky equations are then derived. The extension incorporates realistic characteristics in consumer theory and advances the conventional microeconomic study on consumption to a more realistic optimal control framework. 展开更多
关键词 Optimal Consumption UNCERTAIN Inter-Temporal BUDGET Stochastic Dynamic Programming Slutsky EQUATION
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Bi-Objective Optimization: A Pareto Method with Analytical Solutions
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作者 David W. K. Yeung Yingxuan Zhang 《Applied Mathematics》 2023年第1期57-81,共25页
Multiple objectives to be optimized simultaneously are prevalent in real-life problems. This paper develops a new Pareto Method for bi-objective optimization which yields analytical solutions. The Pareto optimal front... Multiple objectives to be optimized simultaneously are prevalent in real-life problems. This paper develops a new Pareto Method for bi-objective optimization which yields analytical solutions. The Pareto optimal front is obtained in closed-form, enabling the derivation of various solutions in a convenient and efficient way. The advantage of analytical solution is the possibility of deriving accurate, exact and well-understood solutions, which is especially useful for policy analysis. An extension of the method to include multiple objectives is provided with the objectives being classified into two types. Such an extension expands the applicability of the developed techniques. 展开更多
关键词 Multi-Objective Optimization Pareto Optimal Front Analytical Solution Lagrange Method Karush-Kuhn-Tucker Conditions
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A Dynamic Network Game of the Fintech Industry
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作者 David W.K.Yeung Leon A.Petrosyan Ying-Xuan Zhang 《Journal of the Operations Research Society of China》 EI CSCD 2024年第1期5-33,共29页
Economies of scale,economies of scope,and technology spillover are decisive eco-nomic elements that are crucial to the development in the Fintech industry.Thesepositive externalities are often realized through network... Economies of scale,economies of scope,and technology spillover are decisive eco-nomic elements that are crucial to the development in the Fintech industry.Thesepositive externalities are often realized through network links.In this paper,we presenta dynamic network offinancialfirms which exhibits these decisive elements.Thenetwork game equilibria are characterized.A Pareto efficient solution involving col-laboration of allfirms is provided.To obtain a fair-share distribution of cooperativegains,the Shapley value is adopted as the sharing mechanism.Payoff distributionmechanisms which guarantee the fulfilment of the Shapley value distribution in eachstage of the cooperation duration are derived. 展开更多
关键词 Network game Network equilibria Shapley value Pareto efficientcooperation
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