Simone Passeri
Personal Details
First Name: | Simone |
Middle Name: | |
Last Name: | Passeri |
Suffix: | |
RePEc Short-ID: | ppa1327 |
[This author has chosen not to make the email address public] | |
Affiliation
Prometeia
Bologna, Italyhttp://www.prometeia.it/
RePEc:edi:promeit (more details at EDIRC)
Research output
Jump to: Working papersWorking papers
- Elizabeth Jane Casabianca & Michele Catalano & Lorenzo Forni & Elena Giarda & Simone Passeri, 2019.
"An Early Warning System for banking crises: From regression-based analysis to machine learning techniques,"
"Marco Fanno" Working Papers
0235, Dipartimento di Scienze Economiche "Marco Fanno".
- Casabianca, Elizabeth Jane & Catalano, Michele & Forni, Lorenzo & Giarda, Elena & Passeri, Simone, 2022. "A machine learning approach to rank the determinants of banking crises over time and across countries," Journal of International Money and Finance, Elsevier, vol. 129(C).
Citations
Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.Working papers
- Elizabeth Jane Casabianca & Michele Catalano & Lorenzo Forni & Elena Giarda & Simone Passeri, 2019.
"An Early Warning System for banking crises: From regression-based analysis to machine learning techniques,"
"Marco Fanno" Working Papers
0235, Dipartimento di Scienze Economiche "Marco Fanno".
- Casabianca, Elizabeth Jane & Catalano, Michele & Forni, Lorenzo & Giarda, Elena & Passeri, Simone, 2022. "A machine learning approach to rank the determinants of banking crises over time and across countries," Journal of International Money and Finance, Elsevier, vol. 129(C).
Cited by:
- Chris Reimann, 2024. "Predicting financial crises: an evaluation of machine learning algorithms and model explainability for early warning systems," Review of Evolutionary Political Economy, Springer, vol. 5(1), pages 51-83, June.
- Huynh, Tran & Uebelmesser, Silke, 2024.
"Early warning models for systemic banking crises: Can political indicators improve prediction?,"
European Journal of Political Economy, Elsevier, vol. 81(C).
- Tran Huynh & Silke Uebelmesser, 2022. "Early warning models for systemic banking crises: can political indicators improve prediction?," Jena Economics Research Papers 2022-007, Friedrich-Schiller-University Jena.
- Bluwstein, Kristina & Buckmann, Marcus & Joseph, Andreas & Kapadia, Sujit & Şimşek, Özgür, 2023.
"Credit growth, the yield curve and financial crisis prediction: Evidence from a machine learning approach,"
Journal of International Economics, Elsevier, vol. 145(C).
- Bluwstein, Kristina & Buckmann, Marcus & Joseph, Andreas & Kang, Miao & Kapadia, Sujit & Simsek, Özgür, 2020. "Credit growth, the yield curve and financial crisis prediction: evidence from a machine learning approach," Bank of England working papers 848, Bank of England.
- Bluwstein, Kristina & Buckmann, Marcus & Joseph, Andreas & Kapadia, Sujit & Şimşek, Özgür, 2021. "Credit growth, the yield curve and financial crisis prediction: evidence from a machine learning approach," Working Paper Series 2614, European Central Bank.
- Tölö, Eero, 2020. "Predicting systemic financial crises with recurrent neural networks," Journal of Financial Stability, Elsevier, vol. 49(C).
- Alexandr Patalaha & Maria A. Shchepeleva, 2023. "Bank Crisis Management Policies and the New Instability," Finansovyj žhurnal — Financial Journal, Financial Research Institute, Moscow 125375, Russia, issue 6, pages 43-60, December.
- Paraskevi K. Salamaliki & Ioannis A. Venetis, 2024. "Fiscal Space and Policy Response to Financial Crises: Market Access and Deficit Concerns," Open Economies Review, Springer, vol. 35(2), pages 323-361, April.
- Pedro Guerra & Mauro Castelli & Nadine Côrte-Real, 2022. "Approaching European Supervisory Risk Assessment with SupTech: A Proposal of an Early Warning System," Risks, MDPI, vol. 10(4), pages 1-23, March.
- Lanbiao Liu & Chen Chen & Bo Wang, 2022. "Predicting financial crises with machine learning methods," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(5), pages 871-910, August.
More information
Research fields, statistics, top rankings, if available.Statistics
Access and download statistics for all items
Co-authorship network on CollEc
NEP Fields
NEP is an announcement service for new working papers, with a weekly report in each of many fields. This author has had 1 paper announced in NEP. These are the fields, ordered by number of announcements, along with their dates. If the author is listed in the directory of specialists for this field, a link is also provided.- NEP-BAN: Banking (1) 2019-08-12. Author is listed
- NEP-BIG: Big Data (1) 2019-08-12. Author is listed
- NEP-CMP: Computational Economics (1) 2019-08-12. Author is listed
- NEP-DCM: Discrete Choice Models (1) 2019-08-12. Author is listed
- NEP-MAC: Macroeconomics (1) 2019-08-12. Author is listed
- NEP-RMG: Risk Management (1) 2019-08-12. Author is listed
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.
To update listings or check citations waiting for approval, Simone Passeri should log into the RePEc Author Service.
To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.
To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.
Please note that most corrections can take a couple of weeks to filter through the various RePEc services.