JarFraud/FraudDetection
Accounting Fraud Detection Using Machine Learning
This project helps financial analysts and auditors identify potential accounting fraud in publicly traded U.S. firms. It takes publicly available financial accounting data from sources like Compustat and SEC filings, processes it, and then applies machine learning to flag suspicious company-years. The output is a dataset indicating which firms are likely to be engaging in fraudulent financial reporting.
161 stars. No commits in the last 6 months.
Use this if you are an accounting researcher, financial analyst, or auditor interested in leveraging machine learning to detect accounting fraud using historical U.S. firm financial data.
Not ideal if you need a real-time fraud detection system for transactional data or are analyzing private companies or firms outside the U.S.
Stars
161
Forks
75
Language
MATLAB
License
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Category
Last pushed
Mar 31, 2023
Commits (30d)
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