SUERF Policy Notes and SUERF Policy Briefs
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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All SUERF Policy Notes & Briefs are available in PDF format.
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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 |
| Mar 2022 | Policy Brief | No 295 | How do Asian central banks use big data? Insights from an Irving Fisher Committee survey | Giulio Cornelli, Sebastian Doerr, Leonardo Gambacorta, Bruno Tissot |
| Apr 2021 | Policy Brief | No 67 | How do central banks use big data and machine learning? | Sebastian Doerr, Leonardo Gambacorta, Jose Maria Serena |
| Dec 2020 | Policy Note | No 210 | On the risk-adjusted performance of machine learning models in credit default prediction | Andres Alonso, Jose Manuel Carbo |
| Feb 2020 | Policy Note | No 133 | Making sure your bot colleague is less biased than you! | Frank De Jonghe |
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