The DOI matches its Crossref record; 155 of the 155 references it cites were found in a registry or an index.
Machine Learning in Financial Crisis Prediction: A Survey
Abstract
For financial institutions, the ability to predict or forecast business failures is crucial, as incorrect decisions can have direct financial consequences. Bankruptcy prediction and credit scoring are the two major research problems in the accounting and finance domain. In the literature, a number of models have been developed to predict whether borrowers are in danger of bankruptcy and whether they should be considered a good or bad credit risk. Since the 1990s, machine-learning techniques, such as neural networks and decision trees, have been studied extensively as tools for bankruptcy prediction and credit score modeling. This paper reviews 130 related journal papers from the period between 1995 and 2010, focusing on the development of state-of-the-art machine-learning techniques, including hybrid and ensemble classifiers. Related studies are compared in terms of classifier design, datasets, baselines, and other experimental factors. This paper presents the current achievements and limitations associated with the development of bankruptcy-prediction and credit-scoring models employing machine learning. We also provide suggestions for future research.
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Financial ratios and corporate governance indicators in bankruptcy prediction: A comprehensive study
Liang, D., Lu, C.-C., Tsai, C.-F., & Shih, G.-A. (2016) · European Journal of Operational Research · doi:10.1016/j.ejor.2016.01.012 · Cited by 405
Self-citationStatistical and machine learning models in credit scoring: A systematic literature survey
Dastile, X., Celik, T., & Potsane, M. (2020) · Applied Soft Computing · doi:10.1016/j.asoc.2020.106263 · Cited by 404
Sun, J., Li, H., Huang, Q.-H., & He, K.-Y. (2014) · Knowledge-Based Systems · doi:10.1016/j.knosys.2013.12.006 · Cited by 393
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Metadata
- Authors
- Lin, W.-Y., Hu, Y.-H., & Tsai, C.-F.
- Venue
- IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews)
- Published
- 2012-07
- Volume
- 42
- Issue
- 4
- Pages
- 421-436
- ISSN
- 1094-6977 (ISSN-L)
- 1558-2442
- OpenAlex
- W2307376191
- Cited by
- 323
- References
- 155
- FWCI
- 27.46
- Type
- journal article
- Language
- en
- Open access
- closed
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- Lin, W.-Y., Hu, Y.-H., & Tsai, C.-F. (2012). Machine Learning in Financial Crisis Prediction: A Survey. IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews). https://doi.org/10.1109/tsmcc.2011.2170420
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