A Novel Algorithm for Informed Investment in Cybersecurity Companies and Technologies

Anita Mezzetti, Loïc Maréchal (), Dimitri Percia David (), William Blonay (), Sébastien Gillard (), Michael Tsesmelis (), Thomas Maillart () and Alain Mermoud ()
Additional contact information
Anita Mezzetti: Credit Suisse
Loïc Maréchal: Université de Lausanne
Dimitri Percia David: University of Applied Sciences Valais
William Blonay: armasuisse Science and Technology
Sébastien Gillard: Geneva School of Economics and Management, University of Geneva
Michael Tsesmelis: armasuisse Science and Technology
Thomas Maillart: Geneva School of Economics and Management, University of Geneva
Alain Mermoud: armasuisse Science and Technology

Chapter Chapter 6 in Cyberdefense, 2023, pp 87-101 from Springer

Abstract: Abstract We introduce a novel recursive algorithm that analyzes and ranks the relative influence that companies and technologies have in a technology landscape. The algorithm also incorporates exogenous variables that reflect investor preferences. The results provide investors with an optimal ranking of technologies and thus help them to make more informed decisions about companies and technologies, in particular vis-à-vis traditional portfolio theory and in a private equity setting where cash flows are not directly observable.

Date: 2023
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:spr:isochp:978-3-031-30191-9_6

Ordering information: This item can be ordered from
http://www.springer.com/9783031301919

DOI: 10.1007/978-3-031-30191-9_6

Access Statistics for this chapter

More chapters in International Series in Operations Research & Management Science from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().