基于Logistic回归模型的中小微企业信贷决策

Credit Decision-making of Small, Medium and Micro Enterprises Based on Logistic Regression Model

  • 摘要: 为建立企业风险的量化指标,该文采用 \rmLogistic 回归模型对企业的违规概率进行预测,该指标综合了企业盈利能力、成长能力、公司规模、企业稳健性的特征。同时,为使银行获利最大,采取了两级目标规划对目标贷款额度、年利率进行优化,此外还考虑了企业所处生产链的地位和信贷政策对其的扶持力度对信贷策略的影响,以此为根据制定信贷策略。

     

    Abstract: In order to establish quantitative index of corporate risk, logistic regression model is used in this paper to predict the violation likelihood of enterprise. The index integrates the characteristics of corporate profitability, growth ability, company size and enterprise robustness. In order to maximize the profit of the bank, two-level target planning is adopted to optimize the target loan amount and annual interest rate. In addition, the credit strategy is formulated based on the enterprise status in the production chain and the influence of the supportive credit policy on the credit strategy.

     

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