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Anticipating financial distress of high-tech startups in the European Union : a machine learning approach for imbalanced samples
Liu, Yang; Zeng, Qingguo; Li, Bobo; Ma, Lili; … - In: Journal of forecasting 41 (2022) 6, pp. 1131-1155
Persistent link: https://www.econbiz.de/10013465685
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Corporate failure prediction using threshold-based models
Veganzones, David - In: Journal of forecasting 41 (2022) 5, pp. 956-979
Persistent link: https://www.econbiz.de/10013287892
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Predicting LDC debt rescheduling : performance evaluation of OLS, logit, and neural network models
Barney, Douglas K.; Alse, Janardhanan - In: Journal of forecasting 20 (2001) 8, pp. 603-615
Persistent link: https://www.econbiz.de/10001635755
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A semiparametric method for predicting bankruptcy
Hwang, Ruey-ching; Cheng, K. F.; Lee, Jack C. - In: Journal of forecasting 26 (2007) 5, pp. 317-342
Persistent link: https://www.econbiz.de/10003530066
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Predicting bankruptcy using recursive partitioning and a realistically proportioned data set
McKee, Thomas E.; Greenstein, Marilyn - In: Journal of forecasting 19 (2000) 3, pp. 219-230
Persistent link: https://www.econbiz.de/10001473497
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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
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Inflation and unemployment forecasting with genetic support vector regression
Sermpinis, Georgios; Stasinakis, Charalampos; … - In: Journal of forecasting 33 (2014) 6, pp. 471-487
Persistent link: https://www.econbiz.de/10010426238
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A new model for forecasting VaR and ES using intraday returns aggregation
Song, Shijia; Li, Handong - In: Journal of forecasting 42 (2023) 5, pp. 1039-1054
Persistent link: https://www.econbiz.de/10014338800
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Forecasting volatilities of oil and gas assets : a comparison of GAS, GARCH, and EGARCH models
Xu, Yingying; Lien, Da-hsiang Donald - In: Journal of forecasting 41 (2022) 2, pp. 259-278
Persistent link: https://www.econbiz.de/10012817733
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Forecasting government bond yields with neural networks considering cointegration
Wegener, Christoph; Spreckelsen, Christian von; Basse, … - In: Journal of forecasting 35 (2016) 1, pp. 86-92
Persistent link: https://www.econbiz.de/10011417732