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Case Study Of J Agricultural Machinery Sales Company Wholesale Financial Analysis

Posted on:2018-12-28Degree:MasterType:Thesis
Country:ChinaCandidate:L ZhouFull Text:PDF
GTID:2382330551950387Subject:Finance
Abstract/Summary:PDF Full Text Request
Along with the rapid development of China's economy,the competition between enterprises is becoming fiercer.According to the 2015 Coface China enterprise credit risk report,credit has become more and more adoptable in sales and credit is more and more widely influent in the process of commodity trading.However,in recent years,the overall commercial credit risk of Chinese enterprises has been increasing,and the credit risk management of enterprises plays an important role in the financial health of enterprises.Integrity is the most important things of enterprise competition,and also a pass to the domestic and foreign markets.In 2007,the outbreak of the subprime crisis,and gradually evolved into the international financial crisis,the global financial market and the real economy caused great harm,also caused a certain degree of influence to our country enterprise.In the post-financial crisis era,it is important to strengthen credit risk management ability and enhance the ability to deal with risks for any enterprise.Pre-loan credit risk review,especially financial analysis,is an effective way to assess credit risk,and risk assessment is the first step to manage credit risk.Therefore,this article analysis how the J agricultural machinery sales company review pre-loan credit risk,especially how they do financial analysis to evaluate credit risk and put the methodology into a real case study,and also combined with Logistic analysis,around how to build the financial index system,how to build the Logistic model.Using this model to prove J company current financial index analysis in credit risk review could reflect the real financial position of the loan applying company.In the process of Logistic analysis,total 18 indicators including solvency index,profitability index,operating ability index and growth ability index are chosen.The sample financial statements come from 106 shanghai-a-share listed companies and 22 of them were listed in the ST list in 2016.Another 84 have sound financial performance.Based on this,the Logistic analysis is used to build the financial model,and the 2016 financial statements from these companies are analyzed to determine whether the company's financial status is in line with the status of the company.After verification,the validity of the prediction of Logistic analysis model is 0.934,so the prediction of the Logistic model constructed and the research conclusion is consistent with J Company financial analysis result.In this article,through J agricultural machinery sales company pre-loan credit review and its financial analysis methodology combined with Logistic model analysis,we found the problems existing in the current pre-loan credit review,find corresponding solutions in pre-loan credit review and manage credit risk.
Keywords/Search Tags:Pre-loan credit review, financial ratios, financial analysis, two classification Logistic regression analysis
PDF Full Text Request
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