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Analyzing credit spread changes using explainable artificial intelligence
Heger, Julia; Min, Aleksey; Zagst, Rudi - In: International review of financial analysis 94 (2024), pp. 1-17
Persistent link: https://www.econbiz.de/10014543984
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A survey of machine learning in credit risk
Breeden, Joseph L. - In: The journal of credit risk : published quarterly by … 17 (2021) 3, pp. 1-62
Persistent link: https://www.econbiz.de/10012816867
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Combination forecasts of tourism demand with machine learning models
Claveria, Oscar; Monte, Enric; Torra, Salvador - In: Applied economics letters 23 (2016) 4/6, pp. 428-431
Persistent link: https://www.econbiz.de/10011430763
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Smart "predict, then optimize"
Elmachtoub, Adam N.; Grigas, Paul - In: Management science : journal of the Institute for … 68 (2022) 1, pp. 9-26
Persistent link: https://www.econbiz.de/10012821003
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Non-Linear interactions and exchange rate prediction : empirical evidence using support vector regression
Peng, Yaohao; Albuquerque, Pedro H. - In: Applied mathematical finance 26 (2019) 1, pp. 69-100
Persistent link: https://www.econbiz.de/10012210260
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Fama-French three versus five, which model is better? : a machine learning approach
Diallo, Boubacar; Bagudu, Aliyu; Zhang, Qi - In: Journal of forecasting 42 (2023) 6, pp. 1461-1475
Persistent link: https://www.econbiz.de/10014338932
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Integrating knowledge from DEX hierarchies into a logistic regression stacking model for predicting ski injuries
Delibašić, Boris; Radovanović, Sandro; Jovanović, Miloš - In: Journal of decision systems 27 (2018), pp. 201-208
Persistent link: https://www.econbiz.de/10012164183
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Machine learning advances for time series forecasting
Masini, Ricardo P.; Medeiros, Marcelo C.; Mendes, Eduardo F. - In: Journal of economic surveys 37 (2023) 1, pp. 76-111
Persistent link: https://www.econbiz.de/10014287800
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Consideration of the possibilities of applying machine learning methods for data analysis when promoting services to bank's clients
Bulhakova, Olha; Ulianovska, Yuliia; Kostenko, Victoria; … - In: Technology audit and production reserves 4 (2022) 2/66, pp. 14-18
Persistent link: https://www.econbiz.de/10013459326
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How do machine learning and non-traditional data affect credit scoring? : new evidence from a Chinese fintech firm
Gambacorta, Leonardo; Huang, Yiping; Qiu, Han; Wang, Jingyi - 2019
Persistent link: https://www.econbiz.de/10012212840