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Artificial Intelligence in Finance: Valuations and Opportunities

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  • Bonaparte, Yosef

Abstract

This study examines the financial opportunities arising from the new Artificial Intelligence (AI) innovation. Firstly, we present the current and projected AI revenue for the upcoming decade. Secondly, we introduce a valuation model for AI stocks and ETFs, incorporating both AI fundamental and sentiment analyses. We offer two primary models for stock valuation adoption. Our analyses can serve as a benchmark framework for stock valuations and their influence on AI technology. This study holds particular significance as we witness an enthusiastic embrace of AI technology, potentially signaling the financial market's entry into an AI bubble.

Suggested Citation

  • Bonaparte, Yosef, 2024. "Artificial Intelligence in Finance: Valuations and Opportunities," Finance Research Letters, Elsevier, vol. 60(C).
    • Handle: RePEc:eee:finlet:v:60:y:2024:i:c:s1544612323012230
    DOI: 10.1016/j.frl.2023.104851
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    References listed on IDEAS

    as
    1. Saggu, Aman & Ante, Lennart, 2023. "The influence of ChatGPT on artificial intelligence related crypto assets: Evidence from a synthetic control analysis," Finance Research Letters, Elsevier, vol. 55(PB).
    2. Dowling, Michael & Lucey, Brian, 2023. "ChatGPT for (Finance) research: The Bananarama Conjecture," Finance Research Letters, Elsevier, vol. 53(C).
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    Cited by:

    1. Potrykus, Marcin, 2024. "Dot-com and AI bubbles: Can data from the past be helpful to match the price bubble euphoria phase using dynamic time warping?," Finance Research Letters, Elsevier, vol. 67(PA).

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    More about this item

    Keywords

    Artificial intelligence in finance; Ai sentiment index; AI Stock bubble; Stock valuation; AI valuation;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)

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