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Pricing and Risk Mitigation Analysis of a Cyber Liability Insurance using Gaussian, t and Gumbel Copulas – A case for Cyber Risk Index

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  • Shah, Anand

Abstract

Cyber risk, a type of operational risk, is today considered a key component in the enterprise risk management framework. Under BASEL regulations, a bank could recognize the risk mitigating impact of the Cyber Liability Insurance (CLI) contract while calculating the minimum operational risk capital requirement. Despite this benefit and the onerous data protection acts, organizations are still reluctant to buy CLI contracts. In this work, we price and analyze a CLI contract using Gaussian, t and Gumbel copulas and evaluate the contract’s cyber risk mitigation effectiveness. We find that the current structure of the CLI contract with the limits and sub-limits may be inefficient at mitigating the cyber risk especially if the cyber risk losses were correlated and showed upper tail dependency. We then propose a case for a traded index for the cyber risk similar to the Property Claim Services (PCS) index for the catastrophic risk. A traded cyber risk index could offer wider cyber risk hedging alternatives to the insurers. Given such risk hedging alternatives, the insurers may have lower impetus to set conservative limits in the CLI contracts thus making the contracts more effective in mitigating the cyber risk of the organizations.

Suggested Citation

  • Shah, Anand, 2016. "Pricing and Risk Mitigation Analysis of a Cyber Liability Insurance using Gaussian, t and Gumbel Copulas – A case for Cyber Risk Index," MPRA Paper 111968, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:111968
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    References listed on IDEAS

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    1. Delbaen, F. & Haezendonck, J., 1989. "A martingale approach to premium calculation principles in an arbitrage free market," Insurance: Mathematics and Economics, Elsevier, vol. 8(4), pages 269-277, December.
    2. Avanzi, Benjamin & Cassar, Luke C. & Wong, Bernard, 2011. "Modelling Dependence in Insurance Claims Processes with Lévy Copulas," ASTIN Bulletin, Cambridge University Press, vol. 41(2), pages 575-609, November.
    3. BOUCHER Steve & DELPIERRE Matthieu, 2014. "The impact of index-based insurance on informal risk-sharing arrangement," LISER Working Paper Series 2014-13, Luxembourg Institute of Socio-Economic Research (LISER).
    4. Mack, Thomas, 1984. "Premium Calculation for Deductible Policies with an Aggregate Limit," ASTIN Bulletin, Cambridge University Press, vol. 14(2), pages 105-121, October.
    5. 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.
    6. Venter, Gary G., 1991. "Premium Calculation Implications of Reinsurance Without Arbitrage," ASTIN Bulletin, Cambridge University Press, vol. 21(2), pages 223-230, November.
    7. Paul Embrechts, 1996. "Actuarial versus Financial Pricing of Insurance," Center for Financial Institutions Working Papers 96-17, Wharton School Center for Financial Institutions, University of Pennsylvania.
    8. Bjork, Tomas, 2009. "Arbitrage Theory in Continuous Time," OUP Catalogue, Oxford University Press, edition 3, number 9780199574742.
    9. Lindskog, Filip & McNeil, Alexander J., 2003. "Common Poisson Shock Models: Applications to Insurance and Credit Risk Modelling," ASTIN Bulletin, Cambridge University Press, vol. 33(2), pages 209-238, November.
    10. Paul Embrechts, 2009. "Copulas: A Personal View," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 76(3), pages 639-650, September.
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    Cited by:

    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.

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    More about this item

    Keywords

    Interplay between finance and Insurance; cyber risk index; cyber liability insurance pricing; Gaussian; t and Gumbel copulas; operational risk; value at risk (VaR); conditional tail expectation (CTE); BASEL regulations; pricing of contingent claims in incomplete markets; Monte Carlo simulations;
    All these keywords.

    JEL classification:

    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • G21 - Financial Economics - - Financial Institutions and Services - - - Banks; Other Depository Institutions; Micro Finance Institutions; Mortgages
    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • G28 - Financial Economics - - Financial Institutions and Services - - - Government Policy and Regulation

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