Loan Rate Pricing of SME Financing based on Agent-based Computational Finance Approach

Xiong XIONG , Cui GUO , Wei ZHANG , Yong-jie ZHANG
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引用次数: 2

Abstract

From the perspective of Chinese commercial banks' loan pricing, combined with credit rationing theory, using the method of agent-based computational finance(ACF), to do the bank loan's simulation experiment both on “one cutting” type of interest rate pricing and a comprehensive pricing model. From the comparison, we found that the different interest rates pricing model impact SMEs loan. From the experiment when the loan interest rate raise to a certain extent, the earning of bank will reduce accompany by the increasing of interest rate, to some extent, reflecting the credit rationing phenomenon of SMEs(Small and Medium Enterprises). Through the experiment we found that the comprehensive loan interest rate pricing method slow down their financing difficulties, and they also don't reduce bank's earning. So the commercial banks should choose a reasonable interest rate pricing model, according to the loan amount, credit grade, asset-liability ratio, the way of security, and other indicators, according to the risk of small, low cost, and the specific circumstances of the borrower companies, to implement different interest rate.

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基于agent计算金融方法的中小企业融资贷款利率定价
从我国商业银行贷款定价的角度出发,结合信贷配给理论,运用基于agent的计算金融(ACF)方法,对“一次降息”型利率定价和综合定价模型下的银行贷款进行了模拟实验。通过比较,我们发现不同的利率定价模式对中小企业贷款的影响。从实验来看,当贷款利率提高到一定程度时,银行的收益会随着利率的提高而减少,一定程度上反映了中小企业的信贷配给现象。通过实验发现,综合贷款利率定价方法缓解了中小企业的融资困难,也没有降低银行的收益。因此商业银行应选择合理的利率定价模式,根据贷款金额、信用等级、资产负债率、担保方式等指标,根据借款人公司风险小、成本低的具体情况,实施不同的利率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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