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Does machine learning help us predict banking crises? · Study

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ArticleDoes machine learning help us predict banking crises?

Johannes Beutel2019

Article2019

Does machine learning help us predict banking crises?

Johannes Beutel · Sophia List · Gregor von Schweinitz

148 citations·0/0 files stored·Journal of Financial Stability

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Banking stability, regulation, efficiency Global Financial Crisis and Policies Financial Distress and Bankruptcy Prediction

Abstract

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Citations in this library

Stored only when both papers are in the corpus — 148 citations exist upstream.

References

1999The Twin Crises: The Causes of Banking and Balance-of-Payments Problems 2009This Time Is Different 2009Deciphering the Liquidity and Credit Crunch 2007–2008 1979Manias, Panics, and Crashes: A History of Financial Crises 1996Currency crashes in emerging markets: An empirical treatment 2010This time is different: eight centuries of financial folly 1998CAPITAL FLOWS AND CAPITAL-MARKET CRISES: The Simple Economics of Sudden Stops 2000On crises, contagion, and confusion

Cited by

2020Predicting systemic financial crises with recurrent neural networks 2021Systemic risk measures and regulatory challenges 2023The measurement and early warning of daily financial stability index based on XGBoost and SHAP: Evidence from China 2021Predicting bankruptcy of local government: A machine learning approach 2020Macroprudential policy and the probability of a banking crisis 2020Tax Default Prediction Using Feature Transformation-Based Machine Learning 2021A machine learning-based early warning system for systemic banking crises 2022EU-27 bank failure prediction with C5.0 decision trees and deep learning neural networks

Details

Year2019

Typearticle

Published2019-10-12

VenueJournal of Financial Stability

ISSN-L1572-3089

Languageen

Citations148

Files0 public / 0

ShelfBanking stability, regulation, efficiency

Identifiers

doi10.1016/j.jfs.2019.100693

openalex_workW2979358647

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