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Comparing parametric, semi parametric and non-parametric early warning systems for banking crisis: Indian context
Gupta, Neha; Kumar, Arya - In: Global business & economics review 26 (2022) 2, pp. 111-134
Persistent link: https://www.econbiz.de/10012887559
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Predicting systemic financial crises with recurrent neural networks
Tölö, Eero - In: Journal of financial stability 49 (2020), pp. 1-19
Persistent link: https://www.econbiz.de/10012391879
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Financial soundness prediction using a multi-classification model : evidence from current financial crisis in OECD banks
Fernández-Arias, D.; López Martín, Ma. del Carmen; … - In: Computational economics 52 (2018) 1, pp. 275-297
Persistent link: https://www.econbiz.de/10012052936
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Predicting systemic financial crises with recurrent neural networks
Tölö, Eero - 2019
Persistent link: https://www.econbiz.de/10012114997
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Modelos de alerta temprana para pronosticar crisis bancarias : desde la extracción de señales a las redes neuronales
Johnson, Christian - In: Revista de análisis económico 20 (2005) 1, pp. 95-121
Persistent link: https://www.econbiz.de/10003120052
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Convolutional neural networks to signal currency crises : from the Asian financial crisis to the Covid crisis
Barthélémy, Sylvain; Gautier, Virginie; Rondeau, Fabien - 2024
Persistent link: https://www.econbiz.de/10014578446
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Early warning system of finance stress for India
Guru, Anuradha - In: International review of applied economics 30 (2016) 3, pp. 273-300
Persistent link: https://www.econbiz.de/10011472477
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Issues in Efficacy of Early Warning Signal System in Banks in India
Gupta, Dr.Dinesh Kumar - 2022
by them from time to time.There is no doubt that the banks in India are having a EWS system to identify RFA in a timely … portfolio healthy. The objectives of an EWS /PMS depends on its intended use. A bank are at liberty to imagine a variety of … manner. Further, the banks are upgrading the EWS technology in respective banks by gaining more and more expertise in this …
Persistent link: https://www.econbiz.de/10014239384
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Predicting sovereign debt crises using artificial neural networks : a comparative approach
Fioramanti, Marco - In: Journal of financial stability 4 (2008) 2, pp. 149-164
Persistent link: https://www.econbiz.de/10003785635
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Systemic financial risk early warning of financial market in China using Attention-LSTM model
Ouyang, Zi-sheng; Yang, Xi-te; Lai, Yongzeng - In: The North American journal of economics and finance : a … 56 (2021), pp. 1-16
Persistent link: https://www.econbiz.de/10012821472