IDEAS home Printed from https://ideas.repec.org/a/oup/rfinst/v35y2022i3p1183-1221..html
   My bibliography  Save this article

Persistent Blessings of Luck: Theory and an Application to Venture Capital

Author

Listed:
  • Lin William Cong
  • Yizhou Xiao

Abstract

Persistent performance in venture capital is routinely interpreted as evidence for skill. We present a dynamic model of delegated investment with endogenous fund heterogeneity and deal flow, which generates performance persistence without skill differences and predicts mean reversion in long-term performance. Investors working with multiple funds use contingent payments and tiered contracts to induce proper project nurturing and managerial effort. Successful funds receive continuation contracts that tolerate investment failure and encourage innovation, and subsequently finance entrepreneurs through a path-dependent assortative matching favoring incumbents. Recent empirical findings corroborate the model’s general implications, and the economic mechanisms are robust to short-term contracting, endogenous bargaining, and double moral hazard issues.

Suggested Citation

  • Lin William Cong & Yizhou Xiao, 2022. "Persistent Blessings of Luck: Theory and an Application to Venture Capital," The Review of Financial Studies, Society for Financial Studies, vol. 35(3), pages 1183-1221.
  • Handle: RePEc:oup:rfinst:v:35:y:2022:i:3:p:1183-1221.
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1093/rfs/hhab049
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Chen, Zhuming & Luo, Xue, 2024. "Optimal investment and exit decision of venture capitals with multiple heterogeneous Beliefs," International Review of Economics & Finance, Elsevier, vol. 93(PA), pages 1138-1153.

    More about this item

    JEL classification:

    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • L26 - Industrial Organization - - Firm Objectives, Organization, and Behavior - - - Entrepreneurship
    • O31 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Innovation and Invention: Processes and Incentives
    • G24 - Financial Economics - - Financial Institutions and Services - - - Investment Banking; Venture Capital; Brokerage

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:oup:rfinst:v:35:y:2022:i:3:p:1183-1221.. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Oxford University Press (email available below). General contact details of provider: https://edirc.repec.org/data/sfsssea.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.