
SUERF Policy Notes & Briefs offer accessible and concise, high-quality, authoritative and informed analysis on topical issues related to European money and finance. They make research by SUERF Member institutions and academic researchers available to the SUERF network and beyond. SUERF Policy Notes & Briefs are published weekly on the SUERF webpage. The views expressed are those of the author(s) and not necessarily those of the institution(s) the author(s) is/are affiliated with.
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Date published | SUERF | Issue | Title | Author(s) |
Sep 2022 | Policy Brief | No 410 | Should we trust the credit decisions provided by machine learning models? | Andrés Alonso, José Manuel Carbó |
Jul 2022 | Policy Brief | No 386 | Application of machine learning models and interpretability techniques to identify the determinants of the price of bitcoin | Sergio Gorjón, Jose Manuel Carbó |
Dec 2020 | Policy Note | No 210 | On the risk-adjusted performance of machine learning models in credit default prediction | Andres Alonso, Jose Manuel Carbo |
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