Licensing agreements as signals of innovation: When do they impact market value?
Goretti Cabaleiro-Cerviño and
Ana Burcharth
Technovation, 2020, vol. 98, issue C
Abstract:
This paper explains the performance outcomes of markets for technology. It examines whether, and in what context, licensing agreements function as signals of innovativeness that influence investors' evaluation of public companies and if they are consistent ex post the announcement. Joining the literature on markets for technology and signalling theory, it distinguishes the outcomes related to the expectation and the confirmation of the signal, while investigating the context in terms of a company's analyst coverage. This distinction is addressed based on an empirical strategy that draws on a sample of 99 companies (2006–2012) and relates the investing community's reaction to both abnormal stock market returns in the day of the announcement and to Tobin's q one year after. The results show neither immediate nor ex post effects for outward agreements, and negative immediate and ex post effects for inward agreements, which are muted for companies with extensive analyst coverage. They thus suggest that inward licenses are relevant negative signals and that the value of signals is maintained across time horizons. Our theory development introduces analyst coverage as a contingency under which licensing agreements represent a weaker signal. Our research thus warns managers against publicly announcing their licensing strategies.
Keywords: Inward licensing; Outward licensing; Markets for technology; Signalling theory; Firm performance; Analyst coverage (search for similar items in EconPapers)
JEL-codes: L1 O31 O32 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (13)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S016649722030047X
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:techno:v:98:y:2020:i:c:s016649722030047x
DOI: 10.1016/j.technovation.2020.102175
Access Statistics for this article
Technovation is currently edited by Jonathan Linton
More articles in Technovation from Elsevier
Bibliographic data for series maintained by Catherine Liu ().