Can AI Help One Beat the Stock Market?

Authors

  • Lucas Rascher Miramonte High School

DOI:

https://doi.org/10.47611/jsrhs.v14i1.8927

Keywords:

Artificial Intelligence, Finance

Abstract

Artificial Intelligence (AI) algorithms have taken the world by storm with applications being contemplated in a multitude of areas of professional and personal significance. Whether one can ‘beat’ the stock market in terms of the implied average returns of a diversified portfolio over an extended period has been discussed for decades. It may then be a natural question to ask whether AI can help an investor beat the market. This article investigates this question.

This paper examines whether AI can revolutionize investing and help investors beat the market. This article defines what it means to “beat the market” and why understanding this is crucial, and explores why most investors, both ordinary and professional, struggle to outperform the market long-term. The Efficient Market Theory (EMT) is explained and its key assumptions that hinder consistent success in investing. There is a discussion of AI’s potential to assist investors and whether it can challenge any of the EMT assumptions. Finally, an experiment is conducted which assesses AI’s effectiveness in investing, comparing the results of AI-generated portfolios to common index funds and those of other well-known investors.  The results suggest that the AI-generated portfolios beat the other funds.

Downloads

Download data is not yet available.

References or Bibliography

Anderson, S. (2021, January 29). What does it mean when people say they "beat the market"? Investopedia. Retrieved from https://www.investopedia.com/ask/answers/03/100903.asp

Baldridge, R. (2022, May). What is the efficient market hypothesis? Forbes. Retrieved from https://www.forbes.com/advisor/investing/efficient-market-hypothesis/

CFI Team. (n.d.). Rational expectations. Corporate Finance Institute. Retrieved from https://corporatefinanceinstitute.com/resources/economics/rational-expectations/

Chen, J. (2024, May 10). High-frequency trading (HFT): What it is, how it works, and example. Investopedia. Retrieved from https://www.investopedia.com/terms/h/high-frequency-trading.asp

Chussler, J. (2024, June 28). Can AI tools for picking stocks help investors beat the market? Money. Retrieved from https://money.com/ai-for-picking-stocks-beat-market/

Matson Money. (2024, May 30). Deciphering the AI hype: Can artificial intelligence beat the market? Matson Money. Retrieved from https://www.matsonmoney.com/deciphering-the-ai-hype-can-artificial-intelligence-beat-the-market/

Ferri, R. (2012, March 12). Why smart people fail to beat the market. Forbes. Retrieved from https://www.forbes.com/sites/rickferri/2012/03/12/why-smart-people-fail-to-beat-the-market/

Ganti, A. (2024, May 15). What is insider trading and when is it legal? Investopedia. Retrieved from https://www.investopedia.com/terms/i/insidertrading.asp

Geeseok Oh, F. (2024, April 25). How AI can help take the emotion out of investor decisions. Kiplinger. Retrieved from https://www.kiplinger.com/investing/investing-decisions-how-using-ai-can-avoid-the-emotions

Phung, A. (2024, January 3). How can random walk theory be applied to investing? Investopedia. Retrieved from https://www.investopedia.com/ask/answers/08/random-walk-theory.asp

Qlik. (n.d.). AI analytics. Qlik. Retrieved from https://www.qlik.com/us/augmented-analytics/ai-analytics

Sebastian, A. (2023, September 3). Arguments for and against insider trading. Investopedia. Retrieved from https://www.investopedia.com/articles/markets-economy/092216/why-insider-trading-bad-financial-markets.asp

Tardi, C. (2023, September 19). Rational expectations theory definition and how it works. Investopedia. Retrieved from https://www.investopedia.com/terms/r/rationaltheoryofexpectations.asp

United States Congress. (1934, June 6). Securities Exchange Act of 1934. United States Statutes at Large, vol. 48. U.S. Securities and Exchange Commission. Retrieved from https://www.sec.gov/rules-regulations/statutes-regulations

Published

02-28-2025

How to Cite

Rascher, L. (2025). Can AI Help One Beat the Stock Market?. Journal of Student Research, 14(1). https://doi.org/10.47611/jsrhs.v14i1.8927

Issue

Section

HS Research Articles