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Cyber Risk: Too Big to Insure? Risk Transfer Options for a mercurial risk class

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  • Eling, Martin
  • Wirfs, Jan Hendrik

Abstract

This study is the first systematic discussion of potential risk transfer options for cyber risks. We compare several risk transfer options, including insurance, reinsurance and alternative risk transfer. Moreover, we discuss the potential role of the government and the capacity of insurance pools to improve insurability. On the methodological side, we rely on both qualitative and quantitative analyses to justify our conclusions. We use Berliner’s insurability framework and expected utility analysis of different cyber specific scenarios. We then compare our theoretical findings with the opinions of market participants in an empirical study.

Suggested Citation

  • Eling, Martin & Wirfs, Jan Hendrik, 2016. "Cyber Risk: Too Big to Insure? Risk Transfer Options for a mercurial risk class," I.VW HSG Schriftenreihe, University of St.Gallen, Institute of Insurance Economics (I.VW-HSG), volume 59, number 59.
  • Handle: RePEc:zbw:usgivw:59
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    References listed on IDEAS

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    Cited by:

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    2. Eling, Martin & Jung, Kwangmin, 2018. "Copula approaches for modeling cross-sectional dependence of data breach losses," Insurance: Mathematics and Economics, Elsevier, vol. 82(C), pages 167-180.
    3. Antoine Bouveret, 2018. "Cyber Risk for the Financial Sector: A Framework for Quantitative Assessment," IMF Working Papers 2018/143, International Monetary Fund.
    4. Dirk Wrede & Tino Stegen & Johann-Matthias Schulenburg, 2020. "Affirmative and silent cyber coverage in traditional insurance policies: Qualitative content analysis of selected insurance products from the German insurance market," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 45(4), pages 657-689, October.
    5. Lukáš Pavlík & Martin Ficek & Jakub Rak, 2022. "Dynamic Assessment of Cyber Threats in the Field of Insurance," Risks, MDPI, vol. 10(12), pages 1-21, November.

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