Affirmative and silent cyber coverage in traditional insurance policies: Qualitative content analysis of selected insurance products from the German insurance market

Research output: Contribution to journalArticleResearchpeer review

Authors

  • Dirk Wrede
  • Tino Stegen
  • Johann Matthias Graf von der Schulenburg
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Details

Original languageEnglish
Pages (from-to)657-689
Number of pages33
JournalGeneva Papers on Risk and Insurance: Issues and Practice
Volume45
Issue number4
Early online date7 Sept 2020
Publication statusPublished - Oct 2020

Abstract

This paper examines the design of affirmative and silent coverage in view of the cyber risks in traditional insurance policies for select product lines on the German market. Given the novelty and complexity of the topic and the insufficient coverage in the literature, we use two different sources. We analysed the general insurance terms and conditions of different traditional insurance lines using Mayring’s qualitative content analysis. Also, we conducted interviews with experts from the German insurance industry to evaluate how insurers understand their silent cyber exposures, and what measures they take to deal with this new exposure. The study shows a considerable cyber liability risk potential for insurers in the considered insurance lines. This arises from the affirmative as well as silent cover inclusions and exclusions for cyber risks, which result from imprecise wordings of insurance clauses and insufficient descriptions of the contractually specified scope of the insurance coverage.

Keywords

    Affirmative cyber coverage, Cyber insurance, Cyber risk, Silent cyber, Silent cyber coverage, Traditional insurance policies

ASJC Scopus subject areas

Cite this

Affirmative and silent cyber coverage in traditional insurance policies: Qualitative content analysis of selected insurance products from the German insurance market. / Wrede, Dirk; Stegen, Tino; Graf von der Schulenburg, Johann Matthias.
In: Geneva Papers on Risk and Insurance: Issues and Practice, Vol. 45, No. 4, 10.2020, p. 657-689.

Research output: Contribution to journalArticleResearchpeer review

Download
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