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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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Artificial neural networks for developing early warning system for banking system : Indian context
Gupta, Neha; Kumar, Arya - In: International journal of economics and business … 23 (2022) 2, pp. 229-254
Persistent link: https://www.econbiz.de/10012939761
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Anticipation of currency crisis in Iran economy with the use of an early warning system
Farzin, Fatemeh; Googerdchian, Ahmad; Saffari, Babak - In: Iranian economic review : journal of University of Tehran 25 (2021) 1, pp. 69-83
Persistent link: https://www.econbiz.de/10012591602
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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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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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Early warning system for currency crises using long short-term memory and gated recurrent unit neural networks
Barthélémy, Sylvain; Rondeau, Fabien; Gautier, Virginie - 2023
Persistent link: https://www.econbiz.de/10014334456
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Towards an early warning system for sovereign defaults leveraging on machine learning methodologies
Petropoulos, Anastasios; Siakoulis, Vasilis; … - In: Intelligent systems in accounting, finance & management 29 (2022) 2, pp. 118-129
Persistent link: https://www.econbiz.de/10013274258
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Directional returns for gold and silver : a cluster analysis approach
Malliaris, Anastasios G.; Malliaris, Mary E. - In: Handbook of recent advances in commodity and financial …, (pp. 3-16). 2018
Persistent link: https://www.econbiz.de/10011898586
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Identifying insurance companies' business models in Ukraine : cluster analysis and machine learning
Tarnavskyi, Oleksandr; Kolomiiets, Viktor - In: Visnyk Nacionalʹnoho Banku Ukraïny (2021) 252, pp. 37-55
Persistent link: https://www.econbiz.de/10014388655