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Forecasts for international financial series with VMD algorithms
Guo, Wei; Liu, Qingfu; Luo, Zhidan; Tse, Yiuman - In: Journal of Asian economics 80 (2022), pp. 1-14
Persistent link: https://www.econbiz.de/10013431356
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High-frequency stock return prediction using state-of-the-art deep learning models
Chen, Sichong - In: International journal of financial engineering 10 (2023) 3, pp. 1-19
Persistent link: https://www.econbiz.de/10014444662
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Predicting the prices of electricity derivatives on the energy exchange
Kratochvíl, Štěpán; Starý, Oldřich - In: Acta oeconomica Pragensia : vědecký časopis Vysoke … 21 (2013) 6, pp. 65-81
Persistent link: https://www.econbiz.de/10010400360
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Forecasting of the German stock market prices with a modified Box-Jenkins-Model and a multiple regression model
Hansmann, Karl-Werner - Institut für Industriebetriebsforschung <Hamburg> - 1983
Persistent link: https://www.econbiz.de/10000714931
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Development of stock market trend prediction system using multiple regression
Asghar, Muhammad Zubair; Rahman, Fazal; Kundi, Fazal Masud - In: Computational and mathematical organization theory 25 (2019) 3, pp. 271-301
Persistent link: https://www.econbiz.de/10012098937
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Modeling and forecasting closing prices of some coal mining companies in Indonesia by using the VAR(3)-BEKK GARCH (1,1) model
Wamiliana; Russel, Edwin; Alam, Iskandar Ali; Widiarti; … - In: International Journal of Energy Economics and Policy : IJEEP 14 (2024) 1, pp. 579-591
Persistent link: https://www.econbiz.de/10014494811
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Multifractal models, intertrade durations and return volatility
Segnon, Mawuli - 2015
Persistent link: https://www.econbiz.de/10011299266
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Fourier analysis for stock price forecasting : assumption and evidence
Stádník, Bohumil; Raudeliūnienė, Jurgita; … - In: Journal of business economics and management 17 (2016) 3, pp. 365-380
Persistent link: https://www.econbiz.de/10011517950
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Forecasting Realized Stock-Market Volatility : Do Industry Returns Have Predictive Value?
Demirer, Riza; Gupta, Rangan; Pierdzioch, Christian - 2021
bad) stock market volatility, we show that incorporating the information in lagged industry returns can help improve out …-of sample forecasts of aggregate stock market volatility. While the predictive contribution of industry level returns is not … crisis, highlighting the informational value of real economic activity on stock market volatility dynamics. Finally, we show …
Persistent link: https://www.econbiz.de/10013249490
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Predictability of Bull and Bear Markets : A New Look at Forecasting Stock Market Regimes (and Returns) in the Us
Haase, Felix; Neuenkirch, Matthias - 2021
The empirical literature of stock market predictability mainly suffers from model uncertainty and parameter instability. To meet this challenge, we propose a novel approach that combines the documented merits of diffusion indices, regime-switching models, and forecast combination to predict the...
Persistent link: https://www.econbiz.de/10013250734