Unveiling the Future: Exploring Stock Price Prediction in the Finance Sector through Machine Learning and Deep Learning - A Comprehensive Bibliometric Analysis-Reference-Cited by-同舟云学术

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Unveiling the Future: Exploring Stock Price Prediction in the Finance Sector through Machine Learning and Deep Learning - A Comprehensive Bibliometric Analysis

Published:2024-05-03 Issue: Volume:9 Page:1-7
ISSN:
Container-title:2024 International Conference on Smart Systems for applications in Electrical Sciences (ICSSES)
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Author:

Sucharitha M Martha¹,Basha Md Shaik Amzad²,Prabhavathi C¹,Christina Sowmya¹,Varikunta Obulesu³

Affiliation:

1. Christ (Deemed to be University),Department of Professional Studies,Bengaluru,India

2. Gandhi Institute of Technology and Management (Deemed to be University),GITAM School of Business,Bengaluru,India

3. CMRIT Engineering College,Department of MBA,Hyderabad,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10560480/10561248/10561389.pdf?arnumber=10561389

Reference25 articles.

1. On the emergent properties of artificial stock markets: the efficient market hypothesis and the rational expectations hypothesis

2. Patterns in stock market movements tested as random number generators

3. Empirical Study on Efficient Market Hypothesis – A Case Study on Indian and Pakistan Stock Market;Govindarajan;Journal of Applied Economic Sciences,2014

4. THE EFFICIENT MARKET HYPOTHESIS REVISITED: EVIDENCE FROM THE FIVE SMALL OPEN ASEAN STOCK MARKETS

5. The Empirical Research of Contrarian and Momentum Strategies in Chinese Stock Market;Pan,2011

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