The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Comparing early warning systems for banking crises
Open accessAbstract
Despite the extensive literature on prediction of banking crises by Early Warning Systems (EWSs), their practical use by policy makers is limited, even in the international financial institutions. This is a paradox since the changing nature of banking risks as more economies liberalise and develop their financial systems, as well as ongoing innovation, makes the use of EWS for informing policies aimed at preventing crises more necessary than ever. In this context, we assess the logit and signal extraction EWS for banking crises on a comprehensive common dataset. We suggest that logit is the most appropriate approach for global EWS and signal extraction for country-specific EWS. Furthermore, it is important to consider the policy maker's objectives when designing predictive models and setting related thresholds since there is a sharp trade-off between correctly calling crises and false alarms.
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Cited by
Bankruptcy visualization and prediction using neural networks: A study of U.S. commercial banks
López Iturriaga, F. J., & Sanz, I. P. (2015) · Expert Systems with Applications · doi:10.1016/j.eswa.2014.11.025 · Cited by 199
Assessing bank soundness with classification techniques
Ioannidis, C., Pasiouras, F., & Zopounidis, C. (2010) · Omega · doi:10.1016/j.omega.2009.10.009 · Cited by 89
Bank failure prediction: corporate governance and financial indicators
Alzayed, N., Eskandari, R., & Yazdifar, H. (2023) · Review of Quantitative Finance and Accounting · doi:10.1007/s11156-023-01158-z · Cited by 23
Metadata
- Authors
- Davis, E. P., & Karim, D.
- Venue
- Journal of Financial Stability
- Publisher
- Elsevier BV
- Published
- 2008-06
- Volume
- 4
- Issue
- 2
- Pages
- 89-120
- ISSN
- 1572-3089 (ISSN-L)
- OpenAlex
- W1981517920
- Cited by
- 458
- References
- 33
- FWCI
- 43.16
- Type
- journal article
- Language
- en
- Open access
- green
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