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Experience, screening and syndication in venture capital investments

Author

Listed:
  • Catherine Casamatta

    (TSE-R - Toulouse School of Economics - UT Capitole - Université Toulouse Capitole - Comue de Toulouse - Communauté d'universités et établissements de Toulouse - INRA - Institut National de la Recherche Agronomique - EHESS - École des hautes études en sciences sociales - CNRS - Centre National de la Recherche Scientifique, TSM - Toulouse School of Management Research - UT Capitole - Université Toulouse Capitole - Comue de Toulouse - Communauté d'universités et établissements de Toulouse - CNRS - Centre National de la Recherche Scientifique - TSM - Toulouse School of Management - UT Capitole - Université Toulouse Capitole - Comue de Toulouse - Communauté d'universités et établissements de Toulouse)

  • Carole Haritchabalet

    (CATT - Centre d'Analyse Théorique et de Traitement des données économiques - UPPA - Université de Pau et des Pays de l'Adour)

Abstract

We consider a theoretical model that offers a rationale for the syndication of venture capital investments: syndication improves the screening process of venture capitalists and prevents competition between investors after investment opportunities are disclosed. The analysis identifies the costs of syndication in terms of investment decisions or post-investment involvement of venture capitalists. These costs depend crucially on the level of experience of venture capitalists. The model generates empirical predictions concerning the determinants of syndication and the characteristics of syndicated deals.

Suggested Citation

  • Catherine Casamatta & Carole Haritchabalet, 2007. "Experience, screening and syndication in venture capital investments," Post-Print hal-04119640, HAL.
    • Handle: RePEc:hal:journl:hal-04119640
    DOI: 10.1016/j.jfi.2007.03.003
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    JEL classification:

    • G2 - Financial Economics - - Financial Institutions and Services
    • G3 - Financial Economics - - Corporate Finance and Governance
    • D8 - Microeconomics - - Information, Knowledge, and Uncertainty

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