Dr. Julius Tennert

Dissertationstitel

Venture Capital - The Impact of Asymmetric Information on Optimal Investments, Learning and Exit Outcomes

Publikationen

Tennert, Julius (2019) Venture Capital: The Impact of Asymmetric Information on Optimal Investments, Learning and Exit Outcomes, Verlag Wissenschaft und Praxis, ISBN 978-3-89673-753-3

Tennert, Julius; Lambert, Marie; Burghof, Hans-Peter  (2018) Moral hazard in high-risk environments: optimal follow-on investing in venture capital finance, in Venture Capital 20(4): 1-16

Ehemalige Aufgabengebiete am Lehrstuhl

Stiftung Kreditwirtschaft, Betreuung von Vorlesungen, Seminar- und Abschlussarbeiten

Akademische Konferenzen

4th Hohenheim Finance Workshop, Universität Hohenheim (9-10.11.2017)

Academy of Entrepreneurial Finance (Europe) Conference 2017, Stuttgart (15-17.3.2017)

World Finance and Banking Symposium, University of Dubai (14.-15.12.2016)

3rd Hohenheim Finance Workshop, Universität Hohenheim (10.-11.11.2016)

4th International PhD Colloquium on Financial Topics during a Time Period of Financial and Monetary Changes, RWTH Aachen (14.10.2016)

14th Corporate Finance Day, KU Leuven (23.09.2016)

Research seminar - Finance & Law, HEC Management School Liège (20.09.2016)

2nd Hohenheim Finance Workshop, Universität Hohenheim (29.-30.10.2015)

Working Paper

Tennert, Julius; Lambert, Marie; Burghof, Hans-Peter (2017) Moral hazard in VC finance: More expensive than you thought, Hohenheim Discussion Papers in Business, Economics and Social Science, Discussion Paper 02-2017, ISSN 2364-2084, Availabe at Universität Hohenheim: https://wiso.uni-hohenheim.de/papers

Tennert, Julius and Steeb, Alexander (2018) VCs as Intermediaries in IPO and Trade Sale Exits: Evidence from Industry-Level Analysis in Europe and the U.S. (March 12, 2018). Available at SSRN: https://ssrn.com/abstract=3138505 or http://dx.doi.org/10.2139/ssrn.3138505

Tennert, Julius (2018) Learning in Funding Relationships: Are VCs Really Different? (March 12, 2018). Available at SSRN: ssrn.com/abstract=3138516 or dx.doi.org/10.2139/ssrn.3138516