Identifying Corporate Venture Capital Investors – A Data-Cleaning Procedure

Finance Research Letters, Volume 32, January 2020, 101092

14 Pages Posted: 19 May 2020

See all articles by Patrick Röhm

Patrick Röhm

University of Hohenheim

Markus Merz

University of Tuebingen - Department of Banking

Andreas Kuckertz

University of Hohenheim

Date Written: 2020

Abstract

The majority of research on corporate venture capital (CVC) relies on data retrieved from secondary databases. The various databases however define CVC differently. Generally, researchers rely on the definition of the used database. As a result, empirical CVC research is not readily comparable, and replicability across databases is often impossible. This article examines the scope and consistency of the most popular databases in CVC research: Eikon from Thomson Reuters and Dow Jones’ VentureSource. The outcome is a replicable data-cleaning procedure based on an appropriate CVC definition. The article provides a necessary basis for the future discourse on CVC.

Keywords: Corporate venture capital, CVC, databases

JEL Classification: G24

Suggested Citation

Röhm, Patrick and Merz, Markus and Kuckertz, Andreas, Identifying Corporate Venture Capital Investors – A Data-Cleaning Procedure (2020). Finance Research Letters, Volume 32, January 2020, 101092, Available at SSRN: https://ssrn.com/abstract=3583310

Patrick Röhm

University of Hohenheim ( email )

Fruwirthstr. 48
Stuttgart, 70599
Germany

Markus Merz

University of Tuebingen - Department of Banking ( email )

Nauklerstr. 47
Tuebingen, Baden Wuerttemberg 72074
Germany

Andreas Kuckertz (Contact Author)

University of Hohenheim ( email )

Wollgrasweg 49
Stuttgart, 70599
Germany
+49 711 459-24820 (Phone)
+49 711 459-24826 (Fax)

HOME PAGE: http://entrepreneurship.uni-hohenheim.de/

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