Can artificial intelligence beat the stock market?

被引:0
|
作者
Song, Garrison Hongyu [1 ]
Jain, Ajeet [2 ]
机构
[1] Farmingdale State Coll, Dept Business Management, Farmingdale, NY 11735 USA
[2] Cent Connecticut State Univ, Dept Finance, New Britain, CT 06050 USA
关键词
Artificial intelligence (AI); Efficient market hypothesis; Hedge fund; AI-based investment strategy; FINANCE;
D O I
10.1108/SEF-03-2022-0133
中图分类号
F8 [财政、金融];
学科分类号
0202 ;
摘要
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.
引用
收藏
页码:772 / 785
页数:14
相关论文
共 50 条
  • [21] Artificial neural networks modeling photovoltaic power system allocation - Can artificial intelligence beat a fundamental approach?
    Luck, Lara
    Moser, Albert
    2019 16TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ENERGY MARKET (EEM), 2019,
  • [22] YES, YOU CAN BEAT THE MARKET
    PARE, TP
    FORTUNE, 1995, 131 (06) : 68 - &
  • [23] Can we learn to beat the best stock
    Borodin, A
    El-Yaniv, R
    Gogan, V
    JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH, 2004, 21 : 579 - 594
  • [24] Can we learn to beat the best stock
    Borodin, A
    El-Yaniv, R
    Gogan, V
    ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 16, 2004, 16 : 345 - 352
  • [25] Can Individual Investors Beat the Market?
    Coval, Joshua D.
    Hirshleifer, David
    Shumway, Tyler
    REVIEW OF ASSET PRICING STUDIES, 2021, 11 (03): : 552 - 579
  • [26] A Novel Approach to Predict the Asian Exchange Stock Market Index Using Artificial Intelligence
    Salgotra, Rohit
    Singh, Harmanjeet
    Kaur, Gurpreet
    Singh, Supreet
    Singh, Pratap
    Lukasik, Szymon
    ALGORITHMS, 2024, 17 (10)
  • [27] CAN INTELLIGENCE BE ARTIFICIAL
    DRETSKE, F
    PHILOSOPHICAL STUDIES, 1993, 71 (02) : 201 - 216
  • [28] Intelligence and global bias in the stock market
    Sano, Kazuo
    DATA SCIENCE IN FINANCE AND ECONOMICS, 2023, 3 (02): : 184 - 195
  • [29] Digital Market and Artificial Intelligence
    Toader, Diana-Cezara
    Toader, Rita
    Boca, Gratiela
    Radulescu, Corina
    Macelaru, Mara
    Ighian, Diana
    Toader, Cezar
    VISION 2025: EDUCATION EXCELLENCE AND MANAGEMENT OF INNOVATIONS THROUGH SUSTAINABLE ECONOMIC COMPETITIVE ADVANTAGE, 2019, : 5607 - 5618
  • [30] Applications of Artificial Intelligence in the Economy, Including Applications in Stock Trading, Market Analysis, and Risk Management
    Rahmani, Amir Masoud
    Rezazadeh, Bahareh
    Haghparast, Majid
    Chang, Wei-Che
    Ting, Shen Guan
    IEEE ACCESS, 2023, 11 : 80769 - 80793