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The influence of ChatGPT on artificial intelligence related crypto assets: Evidence from a synthetic control analysis

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  • Saggu, Aman
  • Ante, Lennart

Abstract

The introduction of OpenAI's large language model, ChatGPT, catalyzed investor attention towards artificial intelligence (AI) technologies, including AI-related crypto assets not directly related to ChatGPT. Utilizing the synthetic difference-in-difference methodology, we identify significant "ChatGPT effects,” with AI-related crypto assets experiencing average returns ranging between 10.7% and 15.6% (35.5% to 41.3%) in the one-month (two-month) period after the ChatGPT launch. Furthermore, Google search volumes, a proxy for attention to AI, emerged as critical pricing indicators for AI-related crypto assets post-launch. We conclude that investors perceived AI-related crypto assets as possessing heightened potential or value after the launch, resulting in higher market valuations.

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  • 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).
    • Handle: RePEc:eee:finlet:v:55:y:2023:i:pb:s1544612323003653
    DOI: 10.1016/j.frl.2023.103993
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    2. Cavallaro, Matteo & Mathieu, Alban, 2024. "Beyond the veil: Mapping cryptocurrencies' ecosystem," International Review of Financial Analysis, Elsevier, vol. 94(C).
    3. Lennart Ante & Ender Demir, 2024. "The ChatGPT effect on AI-themed cryptocurrencies," Economics and Business Letters, Oviedo University Press, vol. 13(1), pages 29-38.
    4. Wahyono, Budi & Rapih, Subroto & Boungou, Whelsy, 2023. "Unleashing the wordsmith: Analysing the stock market reactions to the launch of ChatGPT in the US Education sector," Finance Research Letters, Elsevier, vol. 58(PC).
    5. Kim, Jang Ho, 2023. "What if ChatGPT were a quant asset manager," Finance Research Letters, Elsevier, vol. 58(PD).
    6. Bonaparte, Yosef, 2024. "Artificial Intelligence in Finance: Valuations and Opportunities," Finance Research Letters, Elsevier, vol. 60(C).
    7. Shun Yiu & Rob Seamans & Manav Raj & Ted Liu, 2024. "Strategic Responses to Technological Change: Evidence from ChatGPT and Upwork," Papers 2403.15262, arXiv.org, revised Apr 2024.
    8. Beckmann, Lars & Hark, Paul F., 2024. "ChatGPT and the banking business: Insights from the US stock market on potential implications for banks," Finance Research Letters, Elsevier, vol. 63(C).

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    More about this item

    Keywords

    ChatGPT; Artificial intelligence; Cryptocurrencies; Market efficiency;
    All these keywords.

    JEL classification:

    • C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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