Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/259550 
Year of Publication: 
2022
Series/Report no.: 
LEM Working Paper Series No. 2022/07
Publisher: 
Scuola Superiore Sant'Anna, Laboratory of Economics and Management (LEM), Pisa
Abstract: 
In this paper we characterize the performance of venture capital- backed firms based on their ability to attract investment. The aim of the study is to identify relevant predictors of success built from the network structure of firms' and investors' relations. Focusing on deal-level data for the health sector, we first create a bipartite network among firms and investors, and then apply functional data analysis (FDA) to derive progressively more refined indicators of success captured by a binary, a scalar and a functional outcome. More specifically, we use different network centrality measures to capture the role of early investments for the success of the firm. Our results, which are robust to different specifications, suggest that success has a strong positive association with centrality measures of the firm and of its large in- vestors, and a weaker but still detectable association with centrality measures of small investors and features describing firms as knowl- edge bridges. Finally, based on our analyses, success is not associated with firms' and investors' spreading power (harmonic centrality), nor with the tightness of investors' community (clustering coefficient) and spreading ability (VoteRank).
Subjects: 
Network analysis
functional data analysis
venture capital
investment trajectory
JEL: 
G24
C52
Document Type: 
Working Paper

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