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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| Date published | SUERF | Issue | Title | Author(s) |
| Nov 2023 | Policy Brief | No 735 | The Road to Paris: stress testing the transition towards a net-zero economy | Tina Emambakhsh, Maximilian Fuchs, Simon Kördel, Charalampos Kouratzoglou, Chiara Lelli, Riccardo Pizzeghello, Carmelo Salleo, Martina Spaggiari |
| Nov 2023 | Policy Brief | No 727 | Labour at risk | Vasco Botelho, Claudia Foroni, Andrea Renzetti |
| Nov 2023 | Policy Brief | No 720 | Forecasting euro area inflation with machine learning models | Michele Lenza, Inés Moutachaker, Joan Paredes |
| Oct 2023 | Policy Brief | No 707 | The D-model for GDP nowcasting | Stavros Degiannakis |
| Sep 2023 | Policy Brief | No 690 | Gauging price pressures in the euro area with the inflation compass | Nuno Lourenço, João Quelhas, António Rua |
| Sep 2023 | Policy Brief | No 678 | Nowcasting World Trade with Machine Learning: a Three-Step Approach | Menzie Chinn, Baptiste Meunier, Sebastian Stumpner |
| Jul 2023 | Policy Brief | No 635 | No time to slack: nowcasting employment in the euro area | Marta Bańbura, Irina Belousova, Katalin Bodnár, Máté Barnabás Tóth |
| May 2023 | Policy Brief | No 594 | Lessons from forecast averaging residential investment | Carlos Cañizares Martínez, Gabe de Bondt, Arne Gieseck |
| Mar 2023 | Policy Brief | No 547 | Conditional density forecasting: a tempered importance sampling approach | Carlos Montes-Galdón, Joan Paredes, Elias Wolf |
| Feb 2023 | Policy Brief | No 521 | Can Machine Learning Methods Help Nowcast GDP? | Andreas Pick, Jasper de Winter |
| Feb 2023 | Policy Brief | No 517 | Stock Return Predictability: Comparing Macro- and Micro-Approaches | Arthur Stalla-Bourdillon |
| Oct 2022 | Policy Brief | No 446 | Forecasting digital technologies diffusion: A question of method | Charles Hoffreumon, Vincent Labhard |
| Aug 2022 | Policy Brief | No 405 | Forgetting Approaches to Improve Forecasting: Executive Summary | Robert Hill, Paulo Rodrigues |
| Feb 2022 | Policy Brief | No 272 | Global models for a global pandemic: the impact of COVID-19 on small euro area economies | Pablo Garcia, Pascal Jacquinot, Črt Lenarčič, Matija Lozej, Kostas Mavromatis |
| Feb 2022 | Policy Brief | No 271 | Including inflation expectations helps to improve inflation forecasts of econometric models | Marta Bańbura, Danilo Leiva-León, Jan-Oliver Menz |
| Aug 2021 | Policy Brief | No 143 | The dynamics of macroeconomic downside risk | By Davide Delle Monache, Andrea De Polis and Ivan Petrella |
| Jun 2021 | Policy Note | No 245 | A technical toolkit to monitor a pandemic outbreak from a central bank perspective | Alexie Alupoaiei, Csaba Bálint, Matei Kubinschi |
| May 2021 | Policy Brief | No 86 | The Bewildering Effects of COVID-19 and Other Recessions on Forecast Accuracy Measurements | Boriss Siliverstovs |
| Feb 2021 | Policy Brief | No 43 | Nowcasting world GDP growth with high-frequency data | Caroline Jardet, Baptiste Meunier |
| Dec 2020 | Policy Note | No 210 | On the risk-adjusted performance of machine learning models in credit default prediction | Andres Alonso, Jose Manuel Carbo |
| Oct 2020 | Policy Note | No 203 | Tracking Covid: What Worked? | Markus Guetschow |
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