Venture Capital Networks: An analysis using the exponential random graph model

Author Name KOUJAKU Sadamori (University of Bristol) / MIYAKAWA Daisuke (Hitotsubashi University)
Creation Date/NO. May 2017 17-E-084
Research Project Microeconometric Analysis of Firm and Industry Growth
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Applying the exponential random graph model (Robins et al. 2007) to the investment data of Japanese venture capital (VC) firms, we document the relationship between VC performance and the dynamics of their co-investment networks. First, we find that VCs' co-investment network formation is not independent from VC characteristics. Second, VCs' past experiences of co-investments contribute to a higher likelihood of future co-investments among them, not only when VCs gain higher returns from their past co-investments but also when the jointly invested venture business companies (VBs) experience higher growth after an initial public offering (IPO). Third, such positive assortativity in terms of the returns obtained from their co-investment has become significantly weaker after the great financial crisis in 2007-2009. These results suggest that the poor financial market conditions make network structures less stiff. Fourth, somewhat puzzlingly, the positive assortativity in terms of jointly invested VBs' growth has become stronger after the great financial crisis.