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Who is unhappy for Brexit? : a machine-learning, agent-based study on financial instability
Polyzos, Efstathios; Samitas, Aristeidis; Katsaiti, … - In: International review of financial analysis 72 (2020), pp. 1-15
Persistent link: https://www.econbiz.de/10012437347
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Measuring the extreme linkages and time-frequency co-movements among artificial intelligence and clean energy indices
Zeng, Hongjun; Abedin, Mohammad Zoynul; Zhou, Xiangjing; … - In: International review of financial analysis 92 (2024), pp. 1-20
Persistent link: https://www.econbiz.de/10014492366
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Predicting financial distress of Chinese listed companies using machine learning : to what extent does textual disclosure matter?
Zhao, Qi; Xu, Weijun; Ji, Yucheng - In: International review of financial analysis 89 (2023), pp. 1-14
Persistent link: https://www.econbiz.de/10014465594
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Forecasting stock market volatility with various geopolitical risks categories : new evidence from machine learning models
Niu, Zibo; Wang, Chenlu; Zhang, Hongwei - In: International review of financial analysis 89 (2023), pp. 1-14
Persistent link: https://www.econbiz.de/10014467061
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Machine learning as an early warning system to predict financial crisis
Samitas, Aristeidis; Kampouris, Elias; Kenourgios, Dimitris - In: International review of financial analysis 71 (2020), pp. 1-20
Persistent link: https://www.econbiz.de/10012435771
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Applying machine learning algorithms to predict default probability in the online credit market : evidence from China
Liu, Yi; Yang, Menglong; Wang, Yudong; Li, Yongshan; … - In: International review of financial analysis 79 (2022), pp. 1-14
Persistent link: https://www.econbiz.de/10013349857
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The role of earnings components and machine learning on the revelation of deteriorating firm performance
Oz, Ibrahim Onur; Yelkenci, Tezer; Meral, Gorkem - In: International review of financial analysis 77 (2021), pp. 1-13
Persistent link: https://www.econbiz.de/10012805850
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Google search trends and stock markets : Sentiment, attention or uncertainty?
Szczygielski, Jan Jakub; Charteris, Ailie; Bwanya, … - In: International review of financial analysis 91 (2024), pp. 1-27
Persistent link: https://www.econbiz.de/10014446911
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Can machine learning models save capital for banks? : evidence from a Spanish credit portfolio
Alonso, Andrés; Carbó, José Manuel - In: International review of financial analysis 84 (2022), pp. 1-12
Persistent link: https://www.econbiz.de/10013472817
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Oil futures volatility predictability : new evidence based on machine learning models
Lu, Xinjie; Ma, Feng; Xu, Jin; Zhang, Zehui - In: International review of financial analysis 83 (2022), pp. 1-15
Persistent link: https://www.econbiz.de/10013460875