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A Novel Algorithm for Informed Investment in Cybersecurity Companies and Technologies

In: Cyberdefense

Author

Listed:
  • 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)

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.

Suggested Citation

  • Anita Mezzetti & Loïc Maréchal & Dimitri Percia David & William Blonay & Sébastien Gillard & Michael Tsesmelis & Thomas Maillart & Alain Mermoud, 2023. "A Novel Algorithm for Informed Investment in Cybersecurity Companies and Technologies," International Series in Operations Research & Management Science, in: Marcus Matthias Keupp (ed.), Cyberdefense, chapter 0, pages 87-101, Springer.
    • Handle: RePEc:spr:isochp:978-3-031-30191-9_6
    DOI: 10.1007/978-3-031-30191-9_6
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