银行信贷决策的探索性数据分析

Guangming Gong, Jing Huang, En-Li Shen
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摘要

本文采用探索性数据分析的方法,系统地探讨了不同金融生态环境下银行贷款企业的财务特征。基于我们之前的工作,我们引入了设计的探索性数据分析,集成了可视化、离群值处理和主成分分析等,我们得到,在不同的金融生态环境下,银行在信贷决策中更加关注公司的偿付能力。此外,在恶劣的金融生态环境下,公司的现金流对银行更为重要,而在良好的金融生态环境下,公司的成长潜力对银行更为重要。本研究提出了一种新的模式,以探索性数据分析系统的会计数据分析。研究结果有助于银行在风险较小的情况下做出更好的信贷决策。这也说明了政府建设良好的金融生态环境是发展经济的必要条件。
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Exploratory Data Analysis of Bank's Credit Decision-making ⋆
In this paper, we systematically discuss the financial characteristics of the companies that get the loans from the bank under different financial ecological environments with Exploratory Data Analysis. Based on our prior work which introduced the designed Exploratory Data Analysis integrating visualization, outliers processing and Principal Component Analysis et al. [1], we get that, the bank pays more attention to the company’s solvency in credit decision under different financial ecological environments. Moreover, the company’s cash flow is more important for the bank in bad financial ecological environment, while the company’s growth potential in good financial ecological environment. This study presents a novel schema for accounting data analysis with Exploratory Data Analysis in a systematical way. The result is useful for the bank to get better credit decision with less risk. It also illustrates that it is necessary for the government to build better financial ecological environment to develop the economy.
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