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LASSO-based high-frequency return predictors for profitable Bitcoin investment
Huang, Weige; Gao, Xiang - In: Applied economics letters 29 (2022) 12, pp. 1079-1083
Persistent link: https://www.econbiz.de/10013412041
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Next-day Bitcoin price forecast
Munim, Ziaul Haque; Shakil, Mohammad Hassan; Alon, Ilan - In: Journal of risk and financial management : JRFM 12 (2019) 2/103, pp. 1-15
This study analyzes forecasts of Bitcoin price using the autoregressive integrated moving average (ARIMA) and neural network autoregression (NNAR) models. Employing the static forecast approach, we forecast next-day Bitcoin price both with and without re-estimation of the forecast model for each...
Persistent link: https://www.econbiz.de/10012021953
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Mobile services adoption model
Abu Ghannam, Bashar - 2011
Persistent link: https://www.econbiz.de/10009580318
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Applications in computational finance with a focus on approximation of financial time series by neurocomputing
Spreckelsen, Christian von - 2014
Persistent link: https://www.econbiz.de/10010511665
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Comparative study on forecasting model for stock index future price
Wang, Wenbo; Nie, He - In: Modern economy 9 (2018) 4, pp. 750-757
Persistent link: https://www.econbiz.de/10011871947
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Neural, novel & hybrid algorithms for time series prediction
Masters, Timothy - 1995
Persistent link: https://www.econbiz.de/10000551141
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Quantitative Verfahren im Finanzmarktbereich
Schröder, Michael (ed.) - 1996 - 1. Aufl.
Persistent link: https://www.econbiz.de/10000592147
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Künstliche neuronale Netze zur Kreditwürdigkeitsüberprüfung von Konsumentenkrediten
Enache, Daniel - 1998
Persistent link: https://www.econbiz.de/10000648252
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Electricity price forecasting : a review of the state-of-the-art with a look into the future
Weron, Rafał - In: International journal of forecasting 30 (2014) 4, pp. 1030-1081
Persistent link: https://www.econbiz.de/10010517770