- Home
- Credit Factor Investing with Machine Learning techniques
Credit Factor Investing with Machine Learning techniques
Friday 08 July 2022
The most common models to assess asset returns are a linear combination of risk factors. We have employed tree-based machine learning algorithms to capture nonlinearities and detect interaction effects among risk factors in the EUR and USD credit space. We have built a nonlinear credit pricing model and compared it to our baseline linear credit pricing model using error metrics on training and testing sets and during different periods. In-sample error metrics revealed the benefit of treebased regressions.
Working Paper - July 2022
Other news
24/04/2024
Market News
Weekly Market Directions 22nd April 2024
(Week 15 April – 19 April) In this edition of Amundi's Weekly Market Directions; Global growth forecast revised higher, again
17/04/2024
Amundi and Victory Capital announce plan to establish a strategic partnership
17/04/2024
Market News
Weekly Market Directions 15th April 2024