Predicting Financial Health of Banks for Investor Guidance Using Machine Learning Algorithms
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DOI: 10.1177/0972652720913478
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References listed on IDEAS
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- Islam, Md Rafiqul & Liu, Shaowu & Biddle, Rhys & Razzak, Imran & Wang, Xianzhi & Tilocca, Peter & Xu, Guandong, 2021. "Discovering dynamic adverse behavior of policyholders in the life insurance industry," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
- P. K. Viswanathan & Sandeep Srivathsan & Wayne L. Winston, 2022. "Multiclass Discriminant Analysis using Ensemble Technique: Case Illustration from the Banking Industry," Journal of Emerging Market Finance, Institute for Financial Management and Research, vol. 21(1), pages 92-115, March.
- de Jesus, Diego Pitta & Besarria, Cássio da Nóbrega, 2023. "Machine learning and sentiment analysis: Projecting bank insolvency risk," Research in Economics, Elsevier, vol. 77(2), pages 226-238.
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Keywords
Emerging markets; financial inclusion; government policy and regulation; market efficiency;All these keywords.
JEL classification:
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
- M10 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - General
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