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, Italy
http://www.prometeia.it/
RePEc:edi:promeit (more details at EDIRC)

Citations

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Working papers

1. 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:

   1. Tölö, Eero, 2020. "Predicting systemic financial crises with recurrent neural networks," Journal of Financial Stability, Elsevier, vol. 49(C).
   2. 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.
   3. 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.
      • 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, 2023. "Credit growth, the yield curve and financial crisis prediction: Evidence from a machine learning approach," Journal of International Economics, Elsevier, vol. 145(C).
   4. 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.
   5. 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.
   6. 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.

1. NEP-BAN: Banking (1) 2019-08-12. Author is listed
2. NEP-BIG: Big Data (1) 2019-08-12. Author is listed
3. NEP-CMP: Computational Economics (1) 2019-08-12. Author is listed
4. NEP-DCM: Discrete Choice Models (1) 2019-08-12. Author is listed
5. NEP-MAC: Macroeconomics (1) 2019-08-12. Author is listed
6. NEP-RMG: Risk Management (1) 2019-08-12. Author is listed

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