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Financial distress and bankruptcy prediction among listed companies using accounting, market and macroeconomic variables
Hernandez Tinoco, Mario; Wilson, Nicholas - In: International review of financial analysis 30 (2013), pp. 394-419
Persistent link: https://www.econbiz.de/10010461542
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Predicting financial distress of Chinese listed companies using a novel hybrid model framework with an imbalanced-data perspective
Zhang, Tong; Zhao, Zhichong - In: The journal of risk model validation 16 (2022) 1, pp. 23-52
Persistent link: https://www.econbiz.de/10014540541
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What do post-communist countries have in common when predicting financial distress?
Popescu, Madalina Ecaterina; Dragotă, Victor - In: Prague economic papers : a bimonthly journal of … 27 (2018) 6, pp. 637-653
Persistent link: https://www.econbiz.de/10011964651
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Predicting financial distress : multi scenarios modeling using neural network
Gameel, Mohamed Sameh; El-Geziry, Khairy - In: International journal of economics and finance 8 (2016) 11, pp. 159-166
Persistent link: https://www.econbiz.de/10011586323
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Application of artificial neural networks in predicting financial distress in the JSE financial services and manufacturing companies
Dube, Fikile; Nzimande, Ntokozo Patrick; Muzindutsi, … - In: Journal of sustainable finance & investment 13 (2023) 1, pp. 723-743
Persistent link: https://www.econbiz.de/10013545702
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A data mining approach to predict companies' financial distress
Tahmasebi, Rasoul; Rostamy, Ali Asghar Anvary; … - In: International journal of financial engineering 7 (2020) 3, pp. 1-13
Persistent link: https://www.econbiz.de/10012603179
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Predicting financial distress using a MIDAS hazard model : evidence from listed companies in China
Li, Xiangrong; Zhang, Maojun; Nan, Jiangxia; Yang, Qingyuan - In: Emerging markets, finance & trade : a journal of the … 60 (2024) 4, pp. 678-687
Persistent link: https://www.econbiz.de/10014513882
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Hybrid model using logit and nonparametric methods for predicting micro-entity failure
Blanco-Oliver, A.; Irimia-Dieguez, A.; Oliver-Alfonso, M. D. - In: Investment management and financial innovations 13 (2016) 3, pp. 35-46
Persistent link: https://www.econbiz.de/10011666564
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Predicting micro-enterprise failures using data mining techniques
Ptak-Chmielewska, Aneta - In: Journal of risk and financial management : JRFM 12 (2019) 1/30, pp. 1-17
Research analysis of small enterprises are still rare, due to lack of individual level data. Small enterprise failures are connected not only with their financial situation abut also with non-financial factors. In recent research we tend to apply more and more complex models. However, it is not...
Persistent link: https://www.econbiz.de/10012022335
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Interpreting the prediction results of the tree-based gradient boosting models for financial distress prediction with an explainable machine learning approach
Liu, Jiaming; Li, Chengzhang; Ouyang, Peng; Liu, Jiajia; … - In: Journal of forecasting 42 (2023) 5, pp. 1112-1137
Persistent link: https://www.econbiz.de/10014338816