Machine learning modelling and algorithm optimisation for identifying financial risks in listed companies

Key Points

• This research aims to enhance the identification of financial risks in listed companies through advanced machine learning techniques.
• Developed machine learning models to analyze financial data.
• Optimized algorithms for better performance in risk identification.
• Applied the models to a dataset of listed companies.
• Identified key financial risk indicators through machine learning algorithms.
• Achieved improved accuracy in risk prediction compared to traditional methods.
• Demonstrated significant potential for algorithmic applications in financial analysis.