In September 2015, SUERF launched the SUERF Policy Notes series with focus on current financial, monetary or economic issues, designed for policy makers and financial practitioners, authored by renowned experts.
|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|
|Sep 2021||Policy Brief||No 181||A liquidity risk early warning indicator for Italian banks: a machine learning approach||Maria Ludovica Drudi, Stefano Nobili|
|Jul 2021||Policy Brief||No 141||Some warning signals about average inflation targeting||Seppo Honkapohja, Nigel McClung|
|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|