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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.

To submit your findings to the SUERF Policy Note and Brief series please contact suerf@oenb.at.

All SUERF Policy Notes & Briefs  are available in PDF format.

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Date publishedSUERFIssueTitleAuthor(s)
Nov 2023Policy BriefNo 723Analysis of CBDC Narrative by Central Banks using Large Language ModelsAndrés Alonso Robisco, José Manuel Carbó
Mar 2023Policy BriefNo 553Machine Learning Methods in Climate Finance: a Systematic ReviewAndrés Alonso-Robisco, José Manuel Carbó, José Manuel Marqués
Mar 2023Policy BriefNo 544Using machine learning to measure financial risk in ChinaAlexander Al-Haschimi, Apostolos Apostolou, Andres Azqueta-Gavaldon, Martino Ricci
Jan 2023Policy BriefNo 498Get your bearings: guidelines for newspaper based economic indicatorsErik Andres-Escayola, Corinna Ghirelli, Luis Molina, Javier Perez, Elena Vidal
Oct 2022Policy BriefNo 435Using household-level data to guide borrower-based macro-prudential policyGastón Andrés Giordana, Michael Heinrich Ziegelmeyer
Sep 2022Policy BriefNo 410 Should we trust the credit decisions provided by machine learning models?Andrés Alonso, José Manuel Carbó
Jul 2022Policy BriefNo 380Old age takes its toll: long-run projections of health-related public expenditure in LuxembourgGastón Andrés Giordana, María Noel Pi Alperin
Jun 2022Policy BriefNo 361The influence of financial corporations on IMF lending: Has it changed with the global financial crisis?Lena Lee Andresen
Oct 2021Policy BriefNo 203The reform of the EU’s fiscal governance framework in a new macroeconomic environmentMario Alloza, Javier Andrés, Pablo Burriel, Iván Kataryniuk, Javier J. Pérez, Juan Luis Vega
Dec 2020Policy NoteNo 210On the risk-adjusted performance of machine learning models in credit default predictionAndres Alonso, Jose Manuel Carbo

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