An enhanced Wasserstein generative adversarial network with Gramian Angular Fields for efficient stock market prediction during market crash periods-Reference-Cited by-同舟云学术

An enhanced Wasserstein generative adversarial network with Gramian Angular Fields for efficient stock market prediction during market crash periods

Published:2023-10-06 Issue:23 Volume:53 Page:28479-28500
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

Ghasemieh Alireza,Kashef Rasha^ORCID

Funder

Toronto Metropolitan University

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

https://link.springer.com/content/pdf/10.1007/s10489-023-05016-2.pdf

Reference82 articles.

1. Chen J (2021) Stock Market Definition. Investopedia. https://www.investopedia.com/terms/s/stockmarket.asp Accessed 22 Feb 2022

2. Arestis P, Demetriades PO, Luintel KB (2001) Financial Development and Economic Growth: The Role of Stock Markets. J Money Credit Bank 33(1):16. https://doi.org/10.2307/2673870

3. A. COURAGE (2021) How does the performance of the stock market affect individual businesses?, Investopedia. https://www.investopedia.com/ask/answers/042215/how-does-performance-stock-market-affect-individual-businesses.asp Accessed 22 Feb 2022

4. Hu Z, Zhao Y, Khushi M (2021) A survey of forex and stock price prediction using deep learning. Appl Syst Innov 4(1):1–30. https://doi.org/10.3390/ASI4010009

5. Strader TJ, Rozycki JJ, Root TH, Huang Y-HJ (2020) Machine Learning Stock Market Prediction Studies : Review and Research Directions. J Int Technol Inf Manag 28(4):63–83

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Data-driven stock forecasting models based on neural networks: A review;Information Fusion;2025-01

2. Speculating Future Stock Price in Stock Market Using Feature Scaling and Predictive Models;2024 7th International Conference on Devices, Circuits and Systems (ICDCS);2024-04-23

3. Enhancing portfolio management using artificial intelligence: literature review;Frontiers in Artificial Intelligence;2024-04-08