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Stock Market Analysis: A Review and Taxonomy of Prediction Techniques

Citations

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Cited by:

  1. Hakan Pabuccu & Adrian Barbu, 2023. "Feature Selection with Annealing for Forecasting Financial Time Series," Papers 2303.02223, arXiv.org, revised Feb 2024.
  2. Shahsuzan Zakaria & Suhaily Maizan Abdul Manaf & Mohd Talmizie Amron & Mohd Taufik Mohd Suffian, 2023. "Has the World of Finance Changed? A Review of the Influence of Artificial Intelligence on Financial Management Studies," Information Management and Business Review, AMH International, vol. 15(4), pages 420-432.
  3. Jiwook Kim & Minhyeok Lee, 2023. "Portfolio Optimization using Predictive Auxiliary Classifier Generative Adversarial Networks with Measuring Uncertainty," Papers 2304.11856, arXiv.org.
  4. Kamaladdin Fataliyev & Aneesh Chivukula & Mukesh Prasad & Wei Liu, 2021. "Stock Market Analysis with Text Data: A Review," Papers 2106.12985, arXiv.org, revised Jul 2021.
  5. Veronika Staňková, 2021. "Can Machine Learning Be Useful in Corporate Finance and Business Valuation? Overview of Current Research [Může být strojové učení užitečné ve financích podniku a jeho ocenění? Přehled současného vý," Oceňování, Prague University of Economics and Business, vol. 14(4), pages 53-66.
  6. Htet Htet Htun & Michael Biehl & Nicolai Petkov, 2023. "Survey of feature selection and extraction techniques for stock market prediction," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 9(1), pages 1-25, December.
  7. Jean Jacques Ohana & Eric Benhamou & David Saltiel & Beatrice Guez, 2021. "Is the Covid equity bubble rational? A machine learning answer," Working Papers hal-03189799, HAL.
  8. Hulusi Mehmet Tanrikulu & Hakan Pabuccu, 2024. "The Effect of Data Types' on the Performance of Machine Learning Algorithms for Financial Prediction," Papers 2404.19324, arXiv.org.
  9. Akpokerere Othuke Emmanuel & Osevwe-Okoroyibo Elizabeth Eloho & Alexander Olawumi Dabor & Eyesan Leslie Dabor & Meshack Aggreh, 2024. "Tax Revenue, Capital Market Performance and Foreign Direct Investment in an Emerging Economy," International Journal of Economics and Financial Issues, Econjournals, vol. 14(4), pages 290-298, July.
  10. Fengyu Han & Yue Wang, 2022. "Predicting Stock Price Movement after Disclosure of Corporate Annual Reports: A Case Study of 2021 China CSI 300 Stocks," Papers 2206.12528, arXiv.org, revised Jul 2022.
  11. Arjun Prakash & Nick James & Max Menzies & Gilad Francis, 2020. "Structural clustering of volatility regimes for dynamic trading strategies," Papers 2004.09963, arXiv.org, revised Nov 2021.
  12. Shalini Sharma & Víctor Elvira & Emilie Chouzenoux & Angshul Majumdar, 2021. "Recurrent Dictionary Learning for State-Space Models with an Application in Stock Forecasting," Post-Print hal-03184841, HAL.
  13. Daiki Matsunaga & Toyotaro Suzumura & Toshihiro Takahashi, 2019. "Exploring Graph Neural Networks for Stock Market Predictions with Rolling Window Analysis," Papers 1909.10660, arXiv.org, revised Nov 2019.
  14. Faraz Sasani & Ramin Mousa & Ali Karkehabadi & Samin Dehbashi & Ali Mohammadi, 2023. "TM-vector: A Novel Forecasting Approach for Market stock movement with a Rich Representation of Twitter and Market data," Papers 2304.02094, arXiv.org.
  15. Matteo Prata & Giuseppe Masi & Leonardo Berti & Viviana Arrigoni & Andrea Coletta & Irene Cannistraci & Svitlana Vyetrenko & Paola Velardi & Novella Bartolini, 2023. "LOB-Based Deep Learning Models for Stock Price Trend Prediction: A Benchmark Study," Papers 2308.01915, arXiv.org, revised Sep 2023.
  16. Hakan Pabuccu & Adrian Barbu, 2024. "Feature selection with annealing for forecasting financial time series," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 10(1), pages 1-26, December.
  17. Zhang, Peng & Li, Zeyun & Ghardallou, Wafa & Xin, Yan & Cao, Jie, 2023. "Nexus of institutional quality and technological innovation on renewable energy development: Moderating role of green finance," Renewable Energy, Elsevier, vol. 214(C), pages 233-241.
  18. Wai Khuen Cheng & Khean Thye Bea & Steven Mun Hong Leow & Jireh Yi-Le Chan & Zeng-Wei Hong & Yen-Lin Chen, 2022. "A Review of Sentiment, Semantic and Event-Extraction-Based Approaches in Stock Forecasting," Mathematics, MDPI, vol. 10(14), pages 1-20, July.
  19. Aurora Skrame & Claudio Ciancio & Vincenzo Corvello & Roberto Musmanno, 2020. "A Quantitative Model Supporting Socially Responsible Public Investment Decisions for Sustainable Tourism," IJFS, MDPI, vol. 8(2), pages 1-9, June.
  20. V. Lanzetta, 2024. "Transfer learning for financial data predictions: a systematic review," Papers 2409.17183, arXiv.org.
  21. Jasleen Kaur & Khushdeep Dharni, 2022. "Application and performance of data mining techniques in stock market: A review," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 29(4), pages 219-241, October.
  22. H. T. Shehzad & M. A. Anwar & M. Razzaq, 2023. "A Comparative Predicting Stock Prices using Heston and Geometric Brownian Motion Models," Papers 2302.07796, arXiv.org.
  23. Saqib Farid & Rubeena Tashfeen & Tahseen Mohsan & Arsal Burhan, 2023. "Forecasting stock prices using a data mining method: Evidence from emerging market," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 28(2), pages 1911-1917, April.
  24. Nick James & Max Menzies, 2021. "Collective correlations, dynamics, and behavioural inconsistencies of the cryptocurrency market over time," Papers 2107.13926, arXiv.org, revised Dec 2021.
  25. Dushmanta Kumar Padhi & Neelamadhab Padhy & Akash Kumar Bhoi & Jana Shafi & Muhammad Fazal Ijaz, 2021. "A Fusion Framework for Forecasting Financial Market Direction Using Enhanced Ensemble Models and Technical Indicators," Mathematics, MDPI, vol. 9(21), pages 1-31, October.
  26. L.J. Basson & Sune Ferreira-Schenk & Zandri Dickason-Koekemoer, 2022. "Fractal Dimension Option Hedging Strategy Implementation During Turbulent Market Conditions in Developing and Developed Countries," International Journal of Economics and Financial Issues, Econjournals, vol. 12(2), pages 84-95, March.
  27. Marian Pompiliu Cristescu & Raluca Andreea Nerisanu & Dumitru Alexandru Mara & Simona-Vasilica Oprea, 2022. "Using Market News Sentiment Analysis for Stock Market Prediction," Mathematics, MDPI, vol. 10(22), pages 1-12, November.
  28. Mahsa Ghorbani & Edwin K. P. Chong, 2022. "A dimension reduction method for stock-price prediction using multiple predictors," Operational Research, Springer, vol. 22(3), pages 2859-2878, July.
  29. Perry Sadorsky, 2021. "A Random Forests Approach to Predicting Clean Energy Stock Prices," JRFM, MDPI, vol. 14(2), pages 1-20, January.
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