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Artificial Intelligence in Behavioral Finance for Investment Decision-making
16 references·1 citing·49 second hop
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References

  • 1979Prospect Theory: An Analysis of Decision under Risk48,459 cited
  • 1970EFFICIENT CAPITAL MARKETS: A REVIEW OF THEORY AND EMPIRICAL WORK*24,470 cited
  • 1950I.—COMPUTING MACHINERY AND INTELLIGENCE10,644 cited
  • 2001Boys will be Boys: Gender, Overconfidence, and Common Stock Investment5,542 cited
  • 2018Mapping the challenges of Artificial Intelligence in the public sector: Evidence from public healthcare1,147 cited
  • 2007Sports Sentiment and Stock Returns1,045 cited
  • 2019Human Compatible: Artificial Intelligence and the Problem of Control775 cited
  • 2014Editorial —Big Data, Data Science, and Analytics: The Opportunity and Challenge for IS Research616 cited
  • 2003Behavioral finance560 cited
  • 2011Behavioral biases of mutual fund investors451 cited
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  • 2019Artificial unintelligence: how computers misunderstand the world294 cited
  • 2006Behavioral Finance and Wealth Management: How to Build Optimal Portfolios That Account for Investor Biases255 cited
  • 2023How can we manage biases in artificial intelligence systems – A systematic literature review238 cited
  • 2017Heuristic biases in investment decision-making and perceived market efficiency

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207 cited
  • 2022How are reinforcement learning and deep learning algorithms used for big data based decision making in financial industries–A review and research agenda203 cited
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    • 2025Comparative analysis of AI-driven versus human-managed equity funds across market trends15 cited