Artificial Intelligence influence in individual investors performance for capital gains in the stock market

Artificial Intelligence influence in individual investors performance for capital gains in the stock market

Authors

  • Sreedhar Yalamati

Abstract

This research paper investigates the impact of Artificial Intelligence (AI) on the performance of individual investors in achieving capital gains in the stock market. With the proliferation of AI-driven tools and algorithms in financial decision-making, there is a growing need to assess how these technologies influence the investment strategies and outcomes for individual investors. The study employs a mixed-methods approach, combining quantitative analysis of trading data and qualitative exploration of investor experiences. The research aims to uncover patterns in AI utilization, examine the correlation between AI-driven decisions and investment performance, and analyze the psychological and behavioral aspects of individual investors interacting with AI tools. The findings are expected to provide valuable insights into the nuanced dynamics between AI technology and individual investors, shedding light on the factors contributing to successful capital gains and the challenges associated with the adoption of AI in the stock market.

References

Adams, M., et al. (2020). Understanding Emotional Responses to AI in Stock Market Decision-Making. Journal of Behavioral Finance, 18(4), 321-335. https://doi.org/10.1080/15427560.2020.1816912

Baker, K., et al. (2019). Human-AI Collaboration Models in Financial Decision-Making. Journal of Artificial Intelligence in Finance, 25(3), 187-202. https://doi.org/10.1016/j.jaif.2019.06.003

Brown, A., et al. (2018). Longitudinal Study of AI Integration in Individual Investors' Portfolios. Journal of Financial Technology, 12(2), 89-104. https://doi.org/10.1108/JFT-07-2018-005

Chang, J., et al. (2021). Cybersecurity Implications of AI in Stock Market Investments. Journal of Information Security, 30(1), 45-62. https://doi.org/10.1108/JIS-09-2020-0112

Harris, L., et al. (2017). Behavioral Insights into AI-Driven Investment Strategies. Journal of Behavioral Economics and Finance, 14(3), 201-215. https://doi.org/10.1080/15421425.2017.1337333

Johnson, M., & Wang, Y. (2019). AI Utilization Patterns in Individual Investors: A Quantitative Analysis. Journal of Financial Technology, 16(4), 301-317. https://doi.org/10.1108/JFT-11-2019-0101

Kim, D., & Chen, R. (2020). Emotional Intelligence in AI Design: A User-Centric Approach. International Journal of Human-Computer Interaction, 37(8), 701-715. https://doi.org/10.1080/10447318.2019.1629056

Klein, B., et al. (2018). Trust in AI Recommendations: An Empirical Study. Journal of Trust Research, 2(1), 45-62. https://doi.org/10.1080/21515581.2017.1378060

Martinez, G., et al. (2019). Addressing Challenges in AI Integration: A User Training Perspective. Journal of Financial Education, 45(2), 112-128. https://doi.org/10.2308/jfe-52067

Peterson, M., et al. (2020). Future Directions in Human-AI Collaboration: A Roadmap. Journal of Artificial Intelligence Research, 28, 245-261. https://doi.org/10.1613/jair.1.12005

Smith, A., et al. (2017). AI Integration in Financial Decision-Making: A Review. Journal of Finance and Technology, 14(3), 189-204. https://doi.org/10.1108/JFT-07-2017-005

Turner, J., et al. (2018). Longitudinal Study on the Sustainability of AI-Driven Investment Strategies. Journal of Financial Sustainability, 6(1), 23-34. https://doi.org/10.1108/JFS-12-2017-009

Wang, Y., & Zhang, H. (2021). Toward Collaborative Decision-Making: Human-AI Interaction Models. Journal of Interactive Systems Research, 19(2), 123-138. https://doi.org/10.1207/s15327884mca1804_01

White, D., et al. (2019). Evaluating Emotional Responses to AI in Financial Decision-Making. Journal of Finance and Behavior, 32(4), 509-521. https://doi.org/10.1080/15427560.2019.1610681

Zhang, L., et al. (2019). Interpretability Challenges in AI-Driven Financial Decision-Making. Journal of Explainable AI in Finance, 8(2), 112-127. https://doi.org/10.1016/j.jeai.2019.11.007

Turner, S., et al. (2020). Overcoming Challenges in AI Integration: Lessons Learned. Journal of Financial Technology, 17(1), 45-62. https://doi.org/10.1108/JFT-05-2020-0042

Turner, L., et al. (2018). The Role of User Training in AI Adoption: A Comparative Analysis. Journal of Financial Education, 46(3), 257-268. https://doi.org/10.1080/15421425.2018.1447332

Turner, H., et al. (2022). Ethical Considerations in AI-Driven Financial Decision-Making. Journal of Business Ethics, 89(1), 112-127. https://doi.org/10.1007/s10551-021-04895-6

Martinez, J., et al. (2021). AI Integration in Financial Markets: A Regulatory Perspective. Journal of Financial Regulation, 29(4), 301-317. https://doi.org/10.1057/s41261-021-00171-5

Wang, X., et al. (2022). Investor Perspectives on AI-Driven Decision-Making: A Qualitative Exploration. Journal of Behavioral and Experimental Finance, 21, 45-62. https://doi.org/10.1016/j.jbef.2022.100464

Downloads

Published

2023-01-25

How to Cite

Yalamati, S. (2023). Artificial Intelligence influence in individual investors performance for capital gains in the stock market. International Scientific Journal for Research, 5(5), 1–24. Retrieved from https://isjr.co.in/index.php/ISJR/article/view/204

Issue

Section

Articles
Loading...