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Artificial intelligence advancements and US nuclear energy deregulation are drivers of the short-term market returns of nuclear firms?

Author

Listed:
  • Martins, António Miguel
  • Albuquerque, Bruno
  • Sardinha, Luís
  • Moutinho, Nuno

Abstract

This study examines the short-term market effect of the US nuclear market deregulation announcements in an environment of increasing investments in AI, which demand clean energy. By employing an event study methodology, our results suggest that worldwide nuclear energy firms experienced a positive and statistically significant impact on stock prices for the announcements of investments in AI and nuclear market deregulation, particularly among larger firms and those located in the US. These findings support the cash flow hypothesis for AI and the deregulation hypothesis for the nuclear market. Practical implications of our findings are provided.

Suggested Citation

  • Martins, António Miguel & Albuquerque, Bruno & Sardinha, Luís & Moutinho, Nuno, 2026. "Artificial intelligence advancements and US nuclear energy deregulation are drivers of the short-term market returns of nuclear firms?," Finance Research Letters, Elsevier, vol. 106(C).
    • Handle: RePEc:eee:finlet:v:106:y:2026:i:c:s1544612326008767
    DOI: 10.1016/j.frl.2026.110348
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    JEL classification:

    • 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
    • Q48 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Energy - - - Government Policy

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