Deep Learning techniques for stock market forecasting: Recent trends and challenges

Author:

Patel Manali1ORCID,Jariwala Krupa1ORCID,Chattopadhyay Chiranjoy2ORCID

Affiliation:

1. Department of Computer Science and Engineering, Sardar Vallabhbhai National Institute of Technology, India

2. School of Computing and Data Science, FLAME University, India

Publisher

ACM

Reference89 articles.

1. Nadeem Muhammad Asif Qamar Muhammad Ali Jibran Nazir Mian Sajid Ahmad Israr Timoshin Anton Shehzad Khurra.2020. How Investors Attitudes Shape Stock Market Participation in the Presence of Financial Self-Efficacy. Frontiers in Psychology 11. Nadeem Muhammad Asif Qamar Muhammad Ali Jibran Nazir Mian Sajid Ahmad Israr Timoshin Anton Shehzad Khurra.2020. How Investors Attitudes Shape Stock Market Participation in the Presence of Financial Self-Efficacy. Frontiers in Psychology 11.

2. The Investor Psychology and Stock Market Behavior During the Initial Era of COVID-19;Sobia Naseem;Frontiers in Psychology.,2021

3. Efficient Capital Markets;Fama Eugene;A Review of Theory and Empirical Work. The Journal of Finance.,1970

4. Mailagaha Kumbure Mahinda , Lohrmann Christoph , Luukka Pasi and Porras , Jari. 2022 . Machine learning techniques and data for stock market forecasting: A literature review. Expert Systems with Applications . 197. 116659. 10.1016/j.eswa.2022.116659. Mailagaha Kumbure Mahinda, Lohrmann Christoph, Luukka Pasi and Porras, Jari. 2022. Machine learning techniques and data for stock market forecasting: A literature review. Expert Systems with Applications. 197. 116659. 10.1016/j.eswa.2022.116659.

5. Banerjee Debadrita . 2014 . Forecasting of Indian stock market using time-series ARIMA model. 2014 . In Proceedings of the 2nd International Conference on Business and Information Management, ICBIM 2014 . 131-135. 10.1109/ICBIM.2014.6970973. Banerjee Debadrita. 2014. Forecasting of Indian stock market using time-series ARIMA model. 2014. In Proceedings of the 2nd International Conference on Business and Information Management, ICBIM 2014. 131-135. 10.1109/ICBIM.2014.6970973.

Cited by 1 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. Advancing Indian Stock Market Prediction with TRNet: A Graph Neural Network Model;2023 International Conference on Modeling, Simulation & Intelligent Computing (MoSICom);2023-12-07

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3