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Statistical evaluation of deep learning models for stock return forecasting
Yilmaz, Firat Melih; Yildiztepe, Engin - In: Computational economics 63 (2024) 1, pp. 221-244
Persistent link: https://www.econbiz.de/10014472083
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Modeling Bitcoin prices using signal processing methods, Bayesian optimization, and deep neural networks
Tripathi, Bhaskar; Sharma, Rakesh Kumar - In: Computational economics 62 (2023) 4, pp. 1919-1945
Persistent link: https://www.econbiz.de/10014442577
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Extracting rules via Markov chains for cryptocurrencies returns forecasting
Felix do Nascimento, Kerolly Kedma; Santos, Fábio … - In: Computational economics 61 (2023) 3, pp. 1095-1114
Persistent link: https://www.econbiz.de/10014252144
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Use of econometric predictors and artificial neural networks for the construction of stock market investment bots
Nametala, Ciniro A. L.; Souza, Jonas Villela de; … - In: Computational economics 61 (2023) 2, pp. 743-773
Persistent link: https://www.econbiz.de/10014228461
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Evolutionary frequency and forecasting accuracy : simulations based on an agent-based artificial stock market
Huang, Ya-Chi; Tsao, Chueh-Yung - In: Computational economics 52 (2018) 1, pp. 79-104
Persistent link: https://www.econbiz.de/10012052922
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Prediction of unemployment rates with time series and machine learning techniques
Katris, Christos - In: Computational economics 55 (2020) 2, pp. 673-706
Persistent link: https://www.econbiz.de/10012223659
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Forecasting yield spreads under crisis-induced multiple breakpoints
Grazzini, Caterina Forti; Guidolin, Massimo - In: Applied economics letters 20 (2013) 16/18, pp. 1656-1664
Persistent link: https://www.econbiz.de/10010222827