sudhamstarun/Understanding-Financial-Reports-using-Natural-Language-Processing
Investigate how mutual funds leverage credit derivatives by studying their routine filings to the SEC using NLP techniques 📈🤑
This project helps financial researchers and analysts understand how mutual funds use Credit Default Swaps (CDS) by extracting relevant information from complex, unstructured SEC filings. It processes routine fund reports (N-CSR, N-CSRS, N-Q) and identifies specific mentions of CDS, counterparties, and reference entities. The output is structured data, including CSV files of CDS tables and searchable text, that financial professionals can use for in-depth analysis of credit derivative strategies.
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Use this if you need to systematically extract and analyze information about Credit Default Swaps from historical SEC filings of mutual funds.
Not ideal if you are looking for real-time CDS trading data or an API for general financial market analysis beyond SEC filing content.
Stars
54
Forks
24
Language
CSS
License
MIT
Category
Last pushed
Jan 13, 2025
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0
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