Can artificial intelligence beat the stock market?

Abstract

Purpose Academia and financial practitioners have mixed opinions about whether artificial intelligence (AI) can beat the stock market. The purpose of this paper is to investigate theoretically what would happen if AI has further evolved into a superior ability to predict the future more accurately than average investors. Design/methodology/approach A theoretical model in an endowment economy with two types of representative investors (traditional investors and AI investors) is proposed, and based on the model, a long-run survival analysis for both types of investors is implemented. Findings The model presented in this paper indicates that being equipped with a superior ability to predict the future more accurately than traditional investors cannot guarantee AI investors to always beat the stock market in the long run. Those investors may be extinct, all depending on the structure/parameters of the stock market. Originality/value To the best of the author’s knowledge, they are the first to set up a representative agent equilibrium model to explore the above question seriously.

The Intersection of Ai and Quantum Computing in Financial Markets: A Critical Review

“…For instance, AI has been utilized to manage behavioral biases among financial planners, with techniques such as backpropagation within neural networks and deep reinforcement learning proving effective in overcoming biases (Hasan et al, 2023). Additionally, AI has been successfully employed to analyze stock market activities, demonstrating its potential to contribute to decision-making processes in financial markets (Song & Jain, 2022). Furthermore, the use of AI in financial market predictions has been explored, particularly in navigating through crises such as the COVID-19 pandemic, showcasing its potential in providing valuable insights for market participants (Sharma et al, 2020).…”