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Do measures of systemic risk predict U.S. corporate bond default rates?
Kanas, Angelos; Molyneux, Philip - In: International review of financial analysis 71 (2020), pp. 1-14
Persistent link: https://www.econbiz.de/10012437165
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Corporate investment, financing, and exit model with an earnings-based borrowing constraint
Nishihara, Michi; Shibata, Takashi; Zhang, Chuanqian - In: International review of financial analysis 85 (2023), pp. 1-12
Persistent link: https://www.econbiz.de/10014234986
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Measuring bank risk : forward-looking z-score
Hafeez, Bilal; Li, Xiping; Kabir, M. Humayun; Tripe, David - In: International review of financial analysis 80 (2022), pp. 1-14
Persistent link: https://www.econbiz.de/10013366210
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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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Corporate failure in the UK : an examination of corporate governance reforms
Elsayed, Mohamed; Elshandidy, Tamer; Ahmed, Yousry - In: International review of financial analysis 82 (2022), pp. 1-17
Persistent link: https://www.econbiz.de/10013426214
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The role of feature importance in predicting corporate financial distress in pre and post COVID periods : evidence from China
Ding, Shusheng; Cui, Tianxiang; Bellotti, Anthony Graham; … - In: International review of financial analysis 90 (2023), pp. 1-9
Persistent link: https://www.econbiz.de/10014469979
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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