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Exploratory Data Analysis of Bank's Credit Decision-making

机译:银行信用决策探索性数据分析

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摘要

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.
机译:本文利用探索性数据分析系统地讨论了在不同金融生态环境下从银行获得贷款的公司的财务特征。基于我们先前的工作,该工作介绍了设计的探索性数据分析,该模型集成了可视化,离群值处理和主成分分析等。文献[1]表明,在不同的金融生态环境下,银行更加重视公司在信用决策方面的偿付能力。此外,在不良的金融生态环境中,公司的现金流对银行而言更为重要,而在良好的金融生态环境中,公司的增长潜力对银行而言更为重要。这项研究以系统的方式提出了一种探索性数据分析与探索性数据分析的新方案。该结果对于银行获得更好的信用决策,降低风险很有用。这也说明政府有必要建立更好的金融生态环境以发展经济。

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