Research on Financial Early Warning Model of New Energy Industry Based on PCA-SVM
In the context of"carbon peaking and carbon neutrality",the new energy industry has high initial investment,many technical barriers,high financing risks,and its market mechanism is not fully mature,so the company will face more financial risks.It is proposed to select A-share new energy listed companies in Shanghai and Shenzhen from 2019 to 2023 as the research object,and construct a financial crisis early warning model suitable for the combination of principal component analysis and support vector machine for China's new energy industry.The model can accurately predict financial risks of new energy listed companies,improve the awareness of risk prevention of company personnel,promote enterprises to improve their unreasonable financial structure,and provide opinions for stakeholders to identify and prevent financial crises of enterprises.
new energy listed companiesfinancial crisis early warningsupport vector machineprincipal component analysis
万方数据
维普
