Research On Small And Micro Enterprise Loan Pricing Of Shaanxi X Rural Commercial Bank

In recent years,the interest rate marketization reform has been steadily advanced,and the reform has achieved great results.In this context,banks have also been given more independent pricing rights.Shaanxi X Rural Commercial Bank,as an important financial institution serving the economy at X region,provides financing services for many small and micro enterprises in the region.However,Shaanxi X Rural Commercial Bank still uses a single benchmark interest rate plus method for loan pricing.Adapting to changes in the financial market,it is not effective to identify and quantify corporate risks,which is not good for the development of banks.Therefore,this thesis constructs a new loan pricing model for Shaanxi X Rural Commercial Bank.This thesis analyzes the current situation of small and micro enterprise loan pricing in Shaanxi X Rural Commercial Bank and finds some shortcomings.Based on the relevant research,this thesis chooses the price leadership pricing model that uses risk quantification as the basic model of pricing.In order to determine the specific expression of the pricing model,this thesis conducts relevant empirical research.Firstly,this thesis constructs a binary logistic default probability model and selects 491 valid samples,including 422 non-default loans and 69 default loans.A preliminary selection of 19 indicators,a series of tests on 5 of the classification indicators and 14 consecutive indicators,respectively,excluded 9 failed indicators,the introduction of 10 indicators into the binary logistic regression modeling,Finally,the binary logistic regression equation is composed of six indicators,and the default probability estimation equation is constructed.The business owner's educational level,the years of establishment of credit relationship,the current ratio,the sales profit rate and the growth rate of operating profit are opposite to the probability of enterprise default.The relationship of change,and the court's judgment on the number of small and micro enterprises is positively related to the probability of default.Secondly,this thesis discusses and calculates other factors in the loan pricing model,including default loss rate,expected profit rate,benchmark interest rate and model adjustment factors.Finally,using the pricing model designed in this thesis to re-price loans issued in the first half of 2018 and compare with the original pricing of the bank,the results show that the new pricing model has good ability of pricing and identification risk.