A New Credit and Loan Lending Strategy and Credit in Banking Systems: An Evolutionary Game Theory Approach

Zohreh Lashgari, Alireza Bahiraie, M. Gordji
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Abstract

In this paper, authors offer one novel mathematical model of credit lending to customers based on evolutionary game theory, and the model presents an efficient and realistic approach. The purpose of the article is to examine the evolutionary game between banks and customers for granting facilities and credit. Authors assumed that customers are divided into two types. The first type of customers includes individuals or small and medium enterprises (SME), applying for microloans from the bank. The second type of customers includes corporate banking or large enterprises, applying for large loans from the bank. The relationship between the bank and the customers is a double-sided problem. Banks and customers may trust each other or want to behave opportunistically. The results show that the game has two equilibriums, and the optimal equilibrium, which is the best-case scenario, occurs when customers and bank players tending to keep “honest” and to “credit,” respectively. Authors used the evolutionary stable strategy to express the parameters that affect these interactions, and by adjusting some of these parameters, authors move the equilibrium towards the optimal solution of the game. Also, by adjusting these parameters, banks can gain more profitability.
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一种新的信贷策略和银行系统中的信贷:一个进化博弈论的方法
本文提出了一种基于进化博弈论的新型客户信贷数学模型,该模型提供了一种高效、现实的方法。本文的目的是研究银行和客户之间在授信和授信方面的演化博弈。作者假设顾客分为两类。第一类客户包括向银行申请小额贷款的个人或中小企业。第二类客户包括公司银行或大型企业,向银行申请大额贷款。银行与客户之间的关系是一个双面问题。银行和客户可能相互信任,或者想要投机取巧。结果表明,该博弈有两个均衡,当客户和银行参与者分别倾向于保持“诚实”和“信用”时,最优均衡(即最佳情况)就会出现。作者使用进化稳定策略来表达影响这些互动的参数,通过调整这些参数,作者将平衡移向游戏的最佳解决方案。此外,通过调整这些参数,银行可以获得更多的盈利能力。
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