Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/268317 
Autor:innen: 
Erscheinungsjahr: 
2022
Quellenangabe: 
[Title:] Proceedings of the ENTRENOVA - ENTerprise REsearch InNOVAtion Conference, Hybrid Conference, Opatija, Croatia, 17-18 June 2022 [Publisher:] IRENET - Society for Advancing Innovation and Research in Economy [Place:] Zagreb [Year:] 2022 [Pages:] 91-98
Verlag: 
IRENET - Society for Advancing Innovation and Research in Economy, Zagreb
Zusammenfassung: 
This paper aims to identify an optimal investment strategy in cases of high-intensity R&D private micro entities. A game theory matrix is constructed using publicly available empirical data extracted from the financial statements of an R&D-intensive private micro-entity. The game theory matrix attempts to estimate the effect of the discretionary managerial choice to capitalise or expense the development cost of internally generated intangible assets; investors' risk appetite could be affected by the capitalisation signalling. The investment strategies are classified based on their risk into three categories. High risk is represented by equity. Medium risk is represented by long-term debt, and low risk is represented by short-term debt. The game theory matrix results indicate that in similar situations, the dominant strategy is the medium-risk approach through long-term debt. This strategy must be confirmed by solving more game theory matrices based on similar R&D-intensive firms. However, it is an easily constructed advisory indicator for retail investors considering investing in unaudited small private entities. They could use it to identify an optimal investment strategy when uncertain of the genuine intangible asset prospects signaled via development cost capitalization.
Schlagwörter: 
intangibles
investment
strategy
matrices
R&D
capitalisation
JEL: 
G32
M21
Persistent Identifier der Erstveröffentlichung: 
Creative-Commons-Lizenz: 
cc-by-nc Logo
Dokumentart: 
Conference Paper

Datei(en):
Datei
Größe
141.08 kB





Publikationen in EconStor sind urheberrechtlich geschützt.