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Technological races and stock market value: evidence from the pharmaceutical industry

Author

Listed:
  • Sandy Campart

    (CREM - Centre de recherche en économie et management - UNICAEN - Université de Caen Normandie - NU - Normandie Université - UR - Université de Rennes - CNRS - Centre National de la Recherche Scientifique)

  • Etienne Pfister

    (BETA - Bureau d'Économie Théorique et Appliquée - INRA - Institut National de la Recherche Agronomique - UNISTRA - Université de Strasbourg - UL - Université de Lorraine - CNRS - Centre National de la Recherche Scientifique)

Abstract

We provide estimates of the abnormal stock market returns associated with pharmaceutical firms' announcements of technological and regulatory successes in drug development. On the basis of these estimates, we find empirical support for two key features of technological race models. First, we observe that leaders in the innovation race record higher abnormal returns than do latecomers when they announce a success. Hence, firms should indeed be racing to complete the innovation process before their rivals. Second, pharmaceutical firms are adversely affected by the technological and regulatory success of their rivals, implying that interfirm spillovers in drug development are not sufficient to offset technological rivalry. Additional results are also produced regarding the impact of competition on R&D racing and the extent of therapeutic competition.

Suggested Citation

  • Sandy Campart & Etienne Pfister, 2014. "Technological races and stock market value: evidence from the pharmaceutical industry," Post-Print halshs-00933723, HAL.
    • Handle: RePEc:hal:journl:halshs-00933723
    DOI: 10.1080/10438599.2013.825427
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    Cited by:

    1. Han, The Anh & Lenaerts, Tom & Santos, Francisco C. & Pereira, Luís Moniz, 2022. "Voluntary safety commitments provide an escape from over-regulation in AI development," Technology in Society, Elsevier, vol. 68(C).

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