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Catastrophe bond pricing in the primary market: The issuer effect and pricing factors

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  • Chatoro, Marian
  • Mitra, Sovan
  • Pantelous, Athanasios A.
  • Shao, Jia

Abstract

COVID pandemic has highlighted the importance of hedging against catastrophic events, for which the catastrophe bond market plays a critical role. Our paper develops a two-level modelling and uses a unique, hand-collected dataset, which is one of the largest and most detailed datasets to date containing: 101 different issuers, 794 different bonds, spanning 1997–2020. We identify issuer effects robustly, isolating them from bond specific pricing effects, therefore providing more credible pricing factor results. We find that bond pricing and volatility are heavily impacted by the issuer, causing 26% of total price variation. We also identify specific issuer characteristics that significantly impact bond pricing and volatility, such as the issuer’s line of business accounting for up to 36% of total price variation. We further find that issuer effects are significant over different market cycles and time periods, causing substantial price variation. The size and content of our data also enables us to identify the counter-intuitive relation between bond premiums and maturity, and bond premiums and hybrid bond triggers.

Suggested Citation

  • Chatoro, Marian & Mitra, Sovan & Pantelous, Athanasios A. & Shao, Jia, 2023. "Catastrophe bond pricing in the primary market: The issuer effect and pricing factors," International Review of Financial Analysis, Elsevier, vol. 85(C).
    • Handle: RePEc:eee:finana:v:85:y:2023:i:c:s1057521922003817
    DOI: 10.1016/j.irfa.2022.102431
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    1. N. Karagiannis & H. Assa & A. A. Pantelous & C. G. Turvey, 2016. "Modelling and pricing of catastrophe risk bonds with a temperature-based agricultural application," Quantitative Finance, Taylor & Francis Journals, vol. 16(12), pages 1949-1959, December.
    2. Clark, Tom S. & Linzer, Drew A., 2015. "Should I Use Fixed or Random Effects?," Political Science Research and Methods, Cambridge University Press, vol. 3(02), pages 399-408, May.
    3. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    4. Alexander Braun, 2016. "Pricing in the Primary Market for Cat Bonds: New Empirical Evidence," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 83(4), pages 811-847, December.
    5. Lane, Morton & Mahul, Olivier, 2008. "Catastrophe risk pricing : an empirical analysis," Policy Research Working Paper Series 4765, The World Bank.
    6. J. David Cummins & Mary A. Weiss, 2009. "Convergence of Insurance and Financial Markets: Hybrid and Securitized Risk‐Transfer Solutions," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 76(3), pages 493-545, September.
    7. Marc Gürtler & Martin Hibbeln & Christine Winkelvos, 2016. "The Impact of the Financial Crisis and Natural Catastrophes on CAT Bonds," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 83(3), pages 579-612, September.
    8. Lawrence J. White, 2013. "Credit Rating Agencies: An Overview," Annual Review of Financial Economics, Annual Reviews, vol. 5(1), pages 93-122, November.
    9. John A. Major, 2019. "Methodological Considerations in the Statistical Modeling of Catastrophe Bond Prices," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 22(1), pages 39-56, March.
    10. J. David Cummins & Olivier Mahul, 2009. "Catastrophe Risk Financing in Developing Countries : Principles for Public Intervention," World Bank Publications - Books, The World Bank Group, number 6289.
    11. Peter Carayannopoulos & Olga Kanj & M. Fabricio Perez, 2022. "Pricing dynamics in the market for catastrophe bonds," The Geneva Papers on Risk and Insurance - Issues and Practice, Palgrave Macmillan;The Geneva Association, vol. 47(1), pages 172-202, January.
    12. Lai, Van Son & Parcollet, Mathieu & Lamond, Bernard F., 2014. "The valuation of catastrophe bonds with exposure to currency exchange risk," International Review of Financial Analysis, Elsevier, vol. 33(C), pages 243-252.
    13. Joseph L Dieleman & Tara Templin, 2014. "Random-Effects, Fixed-Effects and the within-between Specification for Clustered Data in Observational Health Studies: A Simulation Study," PLOS ONE, Public Library of Science, vol. 9(10), pages 1-17, October.
    14. Kenneth A. Froot, 1999. "The Evolving Market for Catastrophic Event Risk," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 2(3), pages 1-28, September.
    15. Froot, Kenneth A., 2001. "The market for catastrophe risk: a clinical examination," Journal of Financial Economics, Elsevier, vol. 60(2-3), pages 529-571, May.
    16. Zimbidis, Alexandros A. & Frangos, Nickolaos E. & Pantelous, Athanasios A., 2007. "Modeling Earthquake Risk via Extreme Value Theory and Pricing the Respective Catastrophe Bonds," ASTIN Bulletin, Cambridge University Press, vol. 37(1), pages 163-183, May.
    17. Clark, Tom S. & Linzer, Drew A., 2015. "Should I Use Fixed or Random Effects?," Political Science Research and Methods, Cambridge University Press, vol. 3(2), pages 399-408, May.
    18. Min Zheng, 2015. "Heterogeneous Expectations and Speculative Behavior in Insurance-Linked Securities," Discrete Dynamics in Nature and Society, Hindawi, vol. 2015, pages 1-12, March.
    19. Marcello Galeotti & Marc Gürtler & Christine Winkelvos, 2013. "Accuracy of Premium Calculation Models for CAT Bonds—An Empirical Analysis," Journal of Risk & Insurance, The American Risk and Insurance Association, vol. 80(2), pages 401-421, June.
    20. Samuel Cox & Hal Pedersen, 2000. "Catastrophe Risk Bonds," North American Actuarial Journal, Taylor & Francis Journals, vol. 4(4), pages 56-82.
    21. Froot, Kenneth A. & O'Connell, Paul G.J., 2008. "On the pricing of intermediated risks: Theory and application to catastrophe reinsurance," Journal of Banking & Finance, Elsevier, vol. 32(1), pages 69-85, January.
    22. Hagendorff, Bjoern & Hagendorff, Jens & Keasey, Kevin & Gonzalez, Angelica, 2014. "The risk implications of insurance securitization: The case of catastrophe bonds," Journal of Corporate Finance, Elsevier, vol. 25(C), pages 387-402.
    23. Maddala, G S, 1971. "The Use of Variance Components Models in Pooling Cross Section and Time Series Data," Econometrica, Econometric Society, vol. 39(2), pages 341-358, March.
    24. Chang, Carolyn W. & Wang, Yu-Jen & Yu, Min-Teh, 2020. "Catastrophe bond spread and hurricane arrival frequency," The North American Journal of Economics and Finance, Elsevier, vol. 54(C).
    25. J. David Cummins, 2008. "CAT Bonds and Other Risk‐Linked Securities: State of the Market and Recent Developments," Risk Management and Insurance Review, American Risk and Insurance Association, vol. 11(1), pages 23-47, March.
    26. Niehaus, Greg, 2002. "The allocation of catastrophe risk," Journal of Banking & Finance, Elsevier, vol. 26(2-3), pages 585-596, March.
    27. Katherine E. Castellano & Sophia Rabe-Hesketh & Anders Skrondal, 2014. "Composition, Context, and Endogeneity in School and Teacher Comparisons," Journal of Educational and Behavioral Statistics, , vol. 39(5), pages 333-367, October.
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    More about this item

    Keywords

    Catastrophe risk bonds; Primary market; Multilevel modelling; Issuer effect; Hedging;
    All these keywords.

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • G22 - Financial Economics - - Financial Institutions and Services - - - Insurance; Insurance Companies; Actuarial Studies
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

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