Research on Credit Risk Measurement of Agricultural Supply Chain Finance Based on XGboost Model
With the development of agricultural supply chain finance in recent years,how to measure and control the credit risk of agricultural supply chain finance enterprises has become more and more important.In this paper,76 listed agricultural enterprises were selected as research samples,and the credit risk assessment index system of listed agricultural companies in the agricultural industry was constructed by constructing four first-level indicators,including basic situation of enterprises,profitability,operating capacity and capital turnover capacity,and 14 second-level indicators.The credit risk assessment results of XGboost model and Logistic model were compared and analyzed.Practice shows that both models have good prediction ability,and XGboost model is slightly superior to logistic model in performance and prediction.
NETL
NSTL
万方数据
