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Venture capital activities under uncertainty: US and UK investors behavior.

Authors :
Shuwaikh F
Brintte S
Khemiri S
Castro RG
Source :
Annals of operations research [Ann Oper Res] 2022 Sep 23, pp. 1-33. Date of Electronic Publication: 2022 Sep 23.
Publication Year :
2022
Publisher :
Ahead of Print

Abstract

We investigate how in the context of Corporate Venture Capital (CVC), the investment decisions affect the likelihood of their subsequent exit strategies. We use OLS and probit regression as well as Weibull distribution of residual values, given its reliability and validity for studying lifetime analysis. Based on a sample of 8722 VC-backed ventures with the first investment dates between 1999 and 2018 in United States (US) and United Kingdom (UK), the results show that the presence of CVCs positively affects the funding amounts and the duration of the investment. CVC funds are more generous and more patient than Independent Venture Capital (IVC) funds regarding their investments in ventures. Moreover, the findings provide evidence that the exit strategies are directly influenced by the funding amounts and the duration of the investment which are influenced, in turn, by the fund type. Greater funding increases the likelihood of IPO exit which is reduced by longer investment duration. Our results are robust to alternative estimation methods, namely two-stage treatment-effects regressions. These results help the various stakeholders (VC funds, investors, ventures) make crucial decisions regarding investment amounts and duration, and exit.<br /> (© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.)

Details

Language :
English
ISSN :
0254-5330
Database :
MEDLINE
Journal :
Annals of operations research
Publication Type :
Academic Journal
Accession number :
36191163
Full Text :
https://doi.org/10.1007/s10479-022-04962-3