Amatofrancesco99/credit-risk-analysis
The aim is to understand which are the key factors for a certain level of credit risk to occur. In addition, some ML models capable to predict the credit risk level for a company in an year - given past years data - have been built and compared.
This project helps financial analysts and risk managers assess a company's likelihood of defaulting on its debt. By inputting historical financial data like turnover, EBIT, and total assets, you get a clear understanding of the key factors influencing credit risk and a prediction of a company's credit risk level for the upcoming year (rated A to D). It is designed for professionals in banking, investment, or corporate finance.
No commits in the last 6 months.
Use this if you need to quickly evaluate the creditworthiness of companies and predict their credit risk level based on financial statements and other key indicators.
Not ideal if you are looking for real-time credit scoring for individual consumers or require a solution that integrates directly with existing proprietary credit decisioning systems without customization.
Stars
33
Forks
6
Language
Jupyter Notebook
License
BSD-3-Clause
Category
Last pushed
May 24, 2025
Commits (30d)
0
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