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Modelling and predicting enterprise‑level cyber risks in the context of sparse data availability

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  • Zängerle, Daniel
  • Schiereck, Dirk

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  • Zängerle, Daniel & Schiereck, Dirk, 2022. "Modelling and predicting enterprise‑level cyber risks in the context of sparse data availability," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 136276, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    • Handle: RePEc:dar:wpaper:136276
    Note: for complete metadata visit http://tubiblio.ulb.tu-darmstadt.de/136276/
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    File URL: https://link.springer.com/article/10.1057/s41288-022-00282-6
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    References listed on IDEAS

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    1. 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.
    2. Smith, Michael Stanley, 2015. "Copula modelling of dependence in multivariate time series," International Journal of Forecasting, Elsevier, vol. 31(3), pages 815-833.
    3. Eckert, Christian & Gatzert, Nadine & Heidinger, Dinah, 2020. "Empirically assessing and modeling spillover effects from operational risk events in the insurance industry," Insurance: Mathematics and Economics, Elsevier, vol. 93(C), pages 72-83.
    4. Aas, Kjersti & Czado, Claudia & Frigessi, Arnoldo & Bakken, Henrik, 2009. "Pair-copula constructions of multiple dependence," Insurance: Mathematics and Economics, Elsevier, vol. 44(2), pages 182-198, April.
    5. Martin Eling & Werner Schnell, 2016. "What do we know about cyber risk and cyber risk insurance?," Journal of Risk Finance, Emerald Group Publishing Limited, vol. 17(5), pages 474-491, November.
    6. Cameron A. MacKenzie, 2014. "Summarizing Risk Using Risk Measures and Risk Indices," Risk Analysis, John Wiley & Sons, vol. 34(12), pages 2143-2162, December.
    7. Antoine Bouveret, 2018. "Cyber Risk for the Financial Sector: A Framework for Quantitative Assessment," IMF Working Papers 2018/143, International Monetary Fund.
    8. Spencer Wheatley & Thomas Maillart & Didier Sornette, 2016. "The extreme risk of personal data breaches and the erosion of privacy," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 89(1), pages 1-12, January.
    9. Kularatne, Thilini Dulanjali & Li, Jackie & Pitt, David, 2021. "On the use of Archimedean copulas for insurance modelling," Annals of Actuarial Science, Cambridge University Press, vol. 15(1), pages 57-81, March.
    10. Kamiya, Shinichi & Kang, Jun-Koo & Kim, Jungmin & Milidonis, Andreas & Stulz, René M., 2021. "Risk management, firm reputation, and the impact of successful cyberattacks on target firms," Journal of Financial Economics, Elsevier, vol. 139(3), pages 719-749.
    11. Sachin Shetty & Michael McShane & Linfeng Zhang & Jay P. Kesan & Charles A. Kamhoua & Kevin Kwiat & Laurent L. Njilla, 2018. "Reducing Informational Disadvantages to Improve Cyber Risk Management†," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 43(2), pages 224-238, April.
    12. Jevtić, Petar & Lanchier, Nicolas, 2020. "Dynamic structural percolation model of loss distribution for cyber risk of small and medium-sized enterprises for tree-based LAN topology," Insurance: Mathematics and Economics, Elsevier, vol. 91(C), pages 209-223.
    13. Spencer Wheatley & Annette Hofmann & Didier Sornette, 2021. "Addressing insurance of data breach cyber risks in the catastrophe framework," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 46(1), pages 53-78, January.
    14. Thomas Kaspereit & Kerstin Lopatta & Suren Pakhchanyan & Jörg Prokop, 2017. "Systemic operational risk," Journal of Risk Finance, Emerald Group Publishing Limited, vol. 18(3), pages 252-267, May.
    15. Martin Eling, 2018. "Cyber Risk and Cyber Risk Insurance: Status Quo and Future Research," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 43(2), pages 175-179, April.
    16. Rakes, Terry R. & Deane, Jason K. & Paul Rees, Loren, 2012. "IT security planning under uncertainty for high-impact events," Omega, Elsevier, vol. 40(1), pages 79-88, January.
    17. Christian Biener & Martin Eling & Jan Hendrik Wirfs, 2015. "Insurability of Cyber Risk: An Empirical Analysis†," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 40(1), pages 131-158, January.
    18. Michael McShane & Trung Nguyen, 2020. "Time-varying effects of cyberattacks on firm value," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 45(4), pages 580-615, October.
    19. Sturm, Philipp, 2013. "Operational and reputational risk in the European banking industry: The market reaction to operational risk events," Journal of Economic Behavior & Organization, Elsevier, vol. 85(C), pages 191-206.
    20. Aldasoro, Iñaki & Gambacorta, Leonardo & Giudici, Paolo & Leach, Thomas, 2022. "The drivers of cyber risk," Journal of Financial Stability, Elsevier, vol. 60(C).
    21. M. Martin Boyer, 2020. "Cyber insurance demand, supply, contracts and cases," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 45(4), pages 559-563, October.
    22. Peng Shi & Lu Yang, 2018. "Pair Copula Constructions for Insurance Experience Rating," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 113(521), pages 122-133, January.
    23. Barry Sheehan & Finbarr Murphy & Arash N. Kia & Ronan Kiely, 2021. "A quantitative bow-tie cyber risk classification and assessment framework," Journal of Risk Research, Taylor & Francis Journals, vol. 24(12), pages 1619-1638, December.
    24. Joe, Harry, 2005. "Asymptotic efficiency of the two-stage estimation method for copula-based models," Journal of Multivariate Analysis, Elsevier, vol. 94(2), pages 401-419, June.
    25. T. Maillart & D. Sornette, 2010. "Heavy-tailed distribution of cyber-risks," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 75(3), pages 357-364, June.
    26. Gneiting, Tilmann & Raftery, Adrian E., 2007. "Strictly Proper Scoring Rules, Prediction, and Estimation," Journal of the American Statistical Association, American Statistical Association, vol. 102, pages 359-378, March.
    27. Valérie Chavez-Demoulin & Paul Embrechts & Marius Hofert, 2016. "An Extreme Value Approach for Modeling Operational Risk Losses Depending on Covariates," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 83(3), pages 735-776, September.
    28. Chen Peng & Maochao Xu & Shouhuai Xu & Taizhong Hu, 2018. "Modeling multivariate cybersecurity risks," Journal of Applied Statistics, Taylor & Francis Journals, vol. 45(15), pages 2718-2740, November.
    29. Eling, Martin & Loperfido, Nicola, 2017. "Data breaches: Goodness of fit, pricing, and risk measurement," Insurance: Mathematics and Economics, Elsevier, vol. 75(C), pages 126-136.
    30. Spencer Wheatley & Thomas Maillart & Didier Sornette, 2016. "The extreme risk of personal data breaches and the erosion of privacy," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 89(1), pages 1-12, January.
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