The Investigation of a Wealth Distribution Model on Isolated Discrete Time Domains

Hu Chunhua; Huang Wenyi; Xie Tianhao

首页> 外文期刊>Mathematical Problems in Engineering: Theory, Methods and Applications >The Investigation of a Wealth Distribution Model on Isolated Discrete Time Domains

【24h】

The Investigation of a Wealth Distribution Model on Isolated Discrete Time Domains

机译：孤立离散时域下的财富分配模型研究

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

A wealth distribution model on isolated discrete time domains, which allows the wealth to exchange at irregular time intervals, is used to describe the effect of agent's trading behavior on wealth distribution. We assume that the agents have different degrees of risk aversion. The hyperbolic absolute risk aversion (HARA) utility function is employed to describe the degrees of risk aversion of agents, including decreasing relative risk aversion (DRRA), increasing relative risk aversion (IRRA), and constant relative risk aversion (CRRA). The effect of agent's expectation on wealth distribution is taken into account in our wealth distribution model, in which the agents are allowed to adopt certain trading strategies to maximize their utility and improve their wealth status. The Euler equation and transversality condition for the model on isolated discrete time domains are given to prove the existence of the optimal solution of the model. The optimal solution of the wealth distribution model is obtained by using the method of solving the rational expectation model on isolated discrete time domains. A numerical example is given to highlight the advantages of the wealth distribution model.

机译：在孤立的离散时域上建立财富分配模型，该模型允许财富在不规则的时间间隔内进行交换，该模型描述了智能体的交易行为对财富分配的影响。我们假设代理具有不同程度的风险厌恶。采用双曲线绝对风险厌恶（HARA）效用函数描述主体的风险厌恶程度，包括相对风险厌恶降低（DRRA）、相对风险厌恶增加（IRRA）和恒定相对风险厌恶（CRRA）。在我们的财富分配模型中考虑了代理人的期望对财富分配的影响，在这种模型中，代理人被允许采用一定的交易策略来最大化其效用并改善其财富状况。给出了模型在孤立离散时域上的欧拉方程和横向条件，证明了模型最优解的存在性。采用在孤立离散时域上求解有理期望模型的方法，得到了财富分配模型的最优解。通过数值算例，重点阐述了财富分配模型的优势。

著录项

来源
《Mathematical Problems in Engineering: Theory, Methods and Applications》 |2020年第3期|4353025.1-4353025.21|共21页
作者
Hu Chunhua; Huang Wenyi; Xie Tianhao;
展开▼
作者单位

Southwestern Univ Finance & Econ, Sch Econ Math, Chengdu 611130, Peoples R China;

展开▼
收录信息
原文格式 PDF
正文语种英语
中图分类
关键词

相似文献

外文文献
中文文献
专利

1. On the Distribution of Duration of First Negative Surplus for a Discrete Time Risk Model with Random Interest Rate [J] . 汪荣明, 吴贤毅东北数学：英文版 . 2006,第003期
2. Numerical investigation of dual-porosity model with transient transfer function based on discrete-fracture model [J] . Yizhao WAN, Yuewu LIU, Weiping OUYANG, 应用数学和力学（英文版） . 2016,第5期
3. Different discrete-time noise-suppression Z-type models for online solving time-varying and time-invariant cube roots in real and complex domains: Application to fractals [J] . Li Jian, Sun Yingyi, Wang GangLiu YongbaiSun Zhongbo Neurocomputing . 2022,第21期

机译：Different discrete-time noise-suppression Z-type models for online solving time-varying and time-invariant cube roots in real and complex domains: Application to fractals
4. Solving for time-varying and static cube roots in real and complex domains via discrete-time ZD models [J] . Yunong Zhang, Zhende Ke, Dongsheng GuoFen Li Neural computing & applications . 2013,第2期

机译：Solving for time-varying and static cube roots in real and complex domains via discrete-time ZD models
5. The use of time domain diakoptics in time discrete models of fields [J] . P. B. Johns, K. Akhtarzad international journal for numerical methods in engineering . 1981,第1期

机译：The use of time domain diakoptics in time discrete models of fields
6. DESIGN METHOD FOR SHEAR FORCE COEFFICIENT DISTRIBUTION OF ISOLATED BUILDING CONSIDERING INHOMOGENEOUS MODEL [C] . CHEN Zhengle, SATO Daiki 日本建築学会関東支部研究発表会;日本建築学会 . -1

机译：DESIGN METHOD FOR SHEAR FORCE COEFFICIENT DISTRIBUTION OF ISOLATED BUILDING CONSIDERING INHOMOGENEOUS MODEL
7. Dynamic staged trees for discrete multivariate time series: forecasting, model selection and causal analysis [O] . Freeman G, Smith JQ 2011

机译：Dynamic staged trees for discrete multivariate time series: forecasting, model selection and causal analysis
8. Capturing and Modeling Domain Knowledge Using Natural Language Processing Techniques [R] . Auger, A. 2005

机译：Capturing and modeling Domain Knowledge Using Natural Language processing Techniques

The Investigation of a Wealth Distribution Model on Isolated Discrete Time Domains

摘要

著录项

相似文献

相关主题

期刊订阅