SME Credit Risk Analysis Using Bank Lending Data: An Analysis of Thai SMEs

N. Yoshino, Farhad Taghizadeh Hesary, Phadet Charoensivakorn, Baburam Niraula
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引用次数: 9

Abstract

Small and medium-sized enterprises (SMEs) are the backbone of most Asian economies. The main obstacle to the development of the SME sector is the lack of stable finance. Considering the bank-dominated characteristic of economies in Asia, banks are the main source of financing, and the lack of a comprehensive credit rating database has been a bottleneck for SMEs. This paper examines how a credit rating scheme for SMEs can be developed, when access to other financial and non-financial ratios is not possible, by using data on lending by banks to SMEs. We employ statistical techniques on five variables from a sample of Thai SMEs and classify them into subgroups based on their financial health. By employing these techniques, banks could reduce information asymmetry and consequently set interest rates and lending ceilings for SMEs. This would ease financing to healthy SMEs and reduce the amount of non-performing loans to this important sector.
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基于银行贷款数据的中小企业信用风险分析——以泰国中小企业为例
中小企业是大多数亚洲经济体的支柱。中小企业发展的主要障碍是缺乏稳定的融资。考虑到亚洲经济体以银行为主的特点,银行是中小企业融资的主要来源,缺乏全面的信用评级数据库一直是中小企业发展的瓶颈。本文通过使用银行对中小企业的贷款数据,研究了在无法获得其他财务和非财务比率的情况下,如何制定中小企业的信用评级方案。我们对泰国中小企业样本的五个变量采用统计技术,并根据其财务健康状况将其分类为子组。通过采用这些技术,银行可以减少信息不对称,从而为中小企业设定利率和贷款上限。这将减轻对健康的中小企业的融资,并减少对这一重要部门的不良贷款数额。
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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