Stock Market Prediction using Artificial Neural Networks. Case Study of TAL1T, Nasdaq OMX Baltic Stock
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- Wu Junfeng & Li Yaoming & Tan Wenqing & Chen Yun, 2024. "Portfolio management based on a reinforcement learning framework," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 43(7), pages 2792-2808, November.
- Edson Kambeu, 2019. "Trading volume as a predictor of market movement: An application of Logistic regression in the R environment," International Journal of Finance & Banking Studies, Center for the Strategic Studies in Business and Finance, vol. 8(2), pages 57-69, April.
- Jia LU & Noor Muhammad SHAZEMEEN & Raimonda MARTINKUTE-KAULIENE, 2020. "Portfolio Decision Using Time Series Prediction and Multi-objective Optimization," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(4), pages 118-130, December.
- Dinesh K. Sharma & H. S. Hota & Kate Brown & Richa Handa, 2022. "Integration of genetic algorithm with artificial neural network for stock market forecasting," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(2), pages 828-841, June.
- Anders Nõu & Darya Lapitskaya & Mustafa Hakan Eratalay & Rajesh Sharma, 2021. "Predicting Stock Return And Volatility With Machine Learning And Econometric Models: A Comparative Case Study Of The Baltic Stock Market," University of Tartu - Faculty of Economics and Business Administration Working Paper Series 135, Faculty of Economics and Business Administration, University of Tartu (Estonia).
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Keywords
artificial neural networks; NARX; principal component analysis; financial time series; stock prediction;All these keywords.
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