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dc.contributor.authorEsposito, Christian
dc.contributor.authorGortan, Marco
dc.contributor.authorTesta, Lorenzo
dc.contributor.authorChiaromonte, Francesca
dc.contributor.authorFagiolo, Giorgio
dc.contributor.authorMina, Andrea
dc.contributor.authorRossetti, Giulio
dc.date.accessioned2022-06-29T19:47:17Z
dc.date.available2022-06-29T19:47:17Z
dc.date.issued2022-12
dc.date.submitted2022-02-25
dc.identifier.issn2364-8228
dc.identifier.others41109-022-00482-y
dc.identifier.other482
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/338538
dc.description.abstract<jats:title>Abstract</jats:title><jats:p>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 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 investors, and a weaker but still detectable association with centrality measures of small investors and features describing firms as knowledge 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).</jats:p>
dc.languageen
dc.publisherSpringer Science and Business Media LLC
dc.subjectResearch
dc.subjectNetwork analysis
dc.subjectFunctional data analysis
dc.subjectVenture capital
dc.subjectInvestment trajectory
dc.titleVenture capital investments through the lens of network and functional data analysis
dc.typeArticle
dc.date.updated2022-06-29T19:47:17Z
prism.issueIdentifier1
prism.publicationNameApplied Network Science
prism.volume7
dc.identifier.doi10.17863/CAM.85951
dcterms.dateAccepted2022-06-13
rioxxterms.versionofrecord10.1007/s41109-022-00482-y
rioxxterms.versionVoR
rioxxterms.licenseref.urihttp://creativecommons.org/licenses/by/4.0/
dc.identifier.eissn2364-8228
pubs.funder-project-idEuropean Commission (INFRAIA-01-2018-2019 n. 871042)
cam.issuedOnline2022-06-27


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