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.

Research Paper

Closed Access research paper available here: A Novel Algorithm for Informed Investment in Cybersecurity Companies and Technologies.

BibTex

@Inbook{Mezzetti2023,
author="Mezzetti, Anita
and Mar{\'e}chal, Lo{\"i}c
and Percia David, Dimitri
and Blonay, William
and Gillard, S{\'e}bastien
and Tsesmelis, Michael
and Maillart, Thomas
and Mermoud, Alain",
editor="Keupp, Marcus Matthias",
title="A Novel Algorithm for Informed Investment in Cybersecurity Companies and Technologies",
bookTitle="Cyberdefense: The Next Generation",
year="2023",
publisher="Springer International Publishing",
address="Cham",
pages="87--101",
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-{\`a}-vis traditional portfolio theory and in a private equity setting where cash flows are not directly observable.",
isbn="978-3-031-30191-9",
doi="10.1007/978-3-031-30191-9_6",
url="https://doi.org/10.1007/978-3-031-30191-9_6"
}