orion-orion/TipDMCup21
🎈 泰迪杯2021A题《基于 Bagging 和深度学习的上市公司财务数据造假预测》
This project helps financial analysts and risk managers identify potential financial statement fraud in publicly listed companies. It takes raw financial statement data for various companies and industries as input, then identifies key indicators of fraud and predicts which companies might be engaging in fraudulent activities. This is specifically useful for professionals responsible for due diligence, investment analysis, or regulatory compliance.
No commits in the last 6 months.
Use this if you need to systematically assess financial data to flag companies at high risk of financial statement fraud, especially when dealing with large datasets from multiple industries.
Not ideal if you're looking for a qualitative fraud detection method or if your focus is on private company financial analysis.
Stars
24
Forks
5
Language
Python
License
MIT
Category
Last pushed
Aug 02, 2022
Commits (30d)
0
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