Sailing through the COVID-19 Crisis by Using AI for Financial Market Predictions

Author:

Sharma Gagan Deep1ORCID,Erkut Burak23ORCID,Jain Mansi1ORCID,Kaya Tuğberk24ORCID,Mahendru Mandeep56ORCID,Srivastava Mrinalini1ORCID,Uppal Raminder Singh7ORCID,Singh Sanjeet8ORCID

Affiliation:

1. University School of Management Studies, Guru Gobind Singh Indraprastha University, Sector 16C, Dwarka, New Delhi 110078, India

2. Institute for Research in Economic and Fiscal Issues, Paris 75017, France

3. Department of Business Administration, Faculty of Economics, Administrative and Social Sciences, Bahcesehir Cyprus University, Nicosia 99010, Northern Cyprus, Turkey

4. Department of Management Information Systems, School of Applied Sciences, Cyprus International University, Nicosia, Northern Cyprus, Turkey

5. State Bank Institute of Credit and Risk Management, Gurugram, Haryana, India

6. State Bank Institute of Leadership, Kolkata, West Bengal, India

7. BBSBE College, Fatehgarh Sahib 140407, Punjab, India

8. Chandigarh University, Gharuan 140413, Punjab, India

Abstract

The outbreak of COVID-19 has brought the world to an unprecedented position where financial and mental resources are drying up. Livelihoods are being lost, and it is becoming tough to save lives. These are the times to think of unprecedented solutions to the financial challenges being faced. Artificial intelligence (AI) has provided a fresh approach to finance through its implementation in the prediction of financial market prices by promising more generalizable results for stock market forecasting. Immense literature has attempted to apply AI and machine learning for predicting stock market returns and volatilities. The research on the applications of AI in finance lacks a consolidated overview of different research directions, findings, methodological approaches, and contributions. Therefore, there is a need to consolidate the extant literature in this upcoming field to consolidate the findings, identify the research gaps in the existing literature, and set a research agenda for future researchers. This paper addresses this need by synthesizing the extant literature in the form of a systematic review for addressing the use of AI in stock market predictions and interpreting the results in a narrative review. The gap formed through this article is the use of a combination of AI as a subject with the neural network as another area and stock market forecasting as another theme, and it will pave the way for future research studies. The analyses help highlight four important gaps in the existing literature on the subject.

Funder

Deutscher Akademischer Austauschdienst

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

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