IDEAS home Printed from https://ideas.repec.org/a/wsi/ijfexx/v04y2017i01ns2424786317500128.html
   My bibliography  Save this article

The impact of skew on the pricing of CoCo bonds

Author

Listed:
  • Jan De Spiegeleer

    (Department of Mathematics, KU Leuven, Celestijnenlaan 200B, 3001 Leuven, Belgium†RiskConcile, Voie du Chariot 3, 1003 Lausanne, Switzerland)

  • Monika B. Forys

    (Department of Mathematics, KU Leuven, Celestijnenlaan 200B, 3001 Leuven, Belgium)

  • Ine Marquet

    (Department of Mathematics, KU Leuven, Celestijnenlaan 200B, 3001 Leuven, Belgium)

  • Wim Schoutens

    (Department of Mathematics, KU Leuven, Celestijnenlaan 200B, 3001 Leuven, Belgium)

Abstract

This paper presents a Heston-based pricing model for contingent convertible bonds (CoCos). The main finding is that skew in the implied volatility surface has a significant impact on the CoCo price. Hence stochastic volatility models, like the Heston model, which incorporate smile and skew are appropriate in the context of pricing CoCos. The financial crisis of 2007–2008 triggered an avalanche of financial worries for financial institutions around the globe. After the collapse of Lehman Brothers, governments intervened and bailed out banks using tax-payer’s money. Preventing such bail-outs in the future and designing a more stable banking sector in general, requires both higher capital levels and regulatory capital of a higher quality. Bank debt needed therefore to be made absorbing. This is where CoCos come in. The Lloyds Banking Group introduced the first CoCo bonds as early as December 2009. Since the first issuance of a CoCo bond more than five years ago, the market has continued to grow and has now reached a size over €120bn. CoCos are hybrid financial instruments that convert into equity or suffer a write-down of the face value upon the appearance of a trigger event, often in terms of the bank’s CET1 level in combination with a regulatory trigger. The valuation of CoCos boils down to the quantification of the trigger probability and the expected loss suffered by the investors if such a trigger event eventually takes place. There are at least two schools of thought regarding valuation of CoCos. Structural models can be put at work or investors can rely on market implied models. The latter category uses market data (share prices, CDS levels and implied volatility, etc.) in order to calculate the theoretical price of a CoCo bond. In De Spiegeleer and Schoutens The Journal of Derivatives, the pricing of CoCo notes has been worked out in a market implied Black–Scholes context. In this paper we move away from the assumption of a constant volatility which is the back-bone of Black–Scholes based valuation and put the Heston model at work and study CoCos in a stochastic volatility context. The existence of a semi closed-form formula for European options pricing under the Heston model allows for a fast calibration of the model. In our approach we combined market quotes of listed option prices with CDS data. As a case study, the procedure was applied on the Tier 2 10NC 758% CoCo issued by Barclays in 2012.

Suggested Citation

  • Jan De Spiegeleer & Monika B. Forys & Ine Marquet & Wim Schoutens, 2017. "The impact of skew on the pricing of CoCo bonds," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 4(01), pages 1-19, March.
  • Handle: RePEc:wsi:ijfexx:v:04:y:2017:i:01:n:s2424786317500128
    DOI: 10.1142/S2424786317500128
    as

    Download full text from publisher

    File URL: http://www.worldscientific.com/doi/abs/10.1142/S2424786317500128
    Download Restriction: Access to full text is restricted to subscribers

    File URL: https://libkey.io/10.1142/S2424786317500128?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Heston, Steven L, 1993. "A Closed-Form Solution for Options with Stochastic Volatility with Applications to Bond and Currency Options," The Review of Financial Studies, Society for Financial Studies, vol. 6(2), pages 327-343.
    2. Stan Maes & Wim Schoutens, 2012. "Contingent Capital: An In-Depth Discussion," Economic Notes, Banca Monte dei Paschi di Siena SpA, vol. 41(1-2), pages 59-79, February.
    3. Pennacchi, George & Vermaelen, Theo & Wolff, Christian C. P., 2014. "Contingent Capital: The Case of COERCs," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 49(3), pages 541-574, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Philippe Oster, 2020. "Contingent Convertible bond literature review: making everything and nothing possible?," Journal of Banking Regulation, Palgrave Macmillan, vol. 21(4), pages 343-381, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Daniël Vullings, 2016. "Contingent convertible bonds with floating coupon payments: fixing the equilibrium problem," DNB Working Papers 517, Netherlands Central Bank, Research Department.
    2. Francesca Erica Di Girolamo & Francesca Campolongo & Jan De Spiegeleer & Wim Schoutens, 2017. "Contingent conversion convertible bond: New avenue to raise bank capital," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 4(01), pages 1-31, March.
    3. van Wijnbergen, Sweder & Chan, Stephanie, 2016. "CoCo Design, Risk Shifting and Financial Fragility," CEPR Discussion Papers 11099, C.E.P.R. Discussion Papers.
    4. Attaoui, Sami & Poncet, Patrice, 2015. "Write-Down Bonds and Capital and Debt Structures," Journal of Corporate Finance, Elsevier, vol. 35(C), pages 97-119.
    5. Philippe Oster, 2020. "Contingent Convertible bond literature review: making everything and nothing possible?," Journal of Banking Regulation, Palgrave Macmillan, vol. 21(4), pages 343-381, December.
    6. Corcuera, José Manuel & De Spiegeleer, Jan & Fajardo, José & Jönsson, Henrik & Schoutens, Wim & Valdivia, Arturo, 2014. "Close form pricing formulas for Coupon Cancellable CoCos," Journal of Banking & Finance, Elsevier, vol. 42(C), pages 339-351.
    7. Stephanie Chan & Sweder van Wijnbergen, 2016. "Coco Design, Risk Shifting Incentives and Capital Regulation," Tinbergen Institute Discussion Papers 16-007/VI, Tinbergen Institute, revised 13 Nov 2017.
    8. Jan De Spiegeleer & Stephan Höcht & Ine Marquet & Wim Schoutens, 2017. "CoCo bonds and implied CET1 volatility," Quantitative Finance, Taylor & Francis Journals, vol. 17(6), pages 813-824, June.
    9. Milan Kumar Das & Anindya Goswami, 2019. "Testing of binary regime switching models using squeeze duration analysis," International Journal of Financial Engineering (IJFE), World Scientific Publishing Co. Pte. Ltd., vol. 6(01), pages 1-20, March.
    10. Marcos Escobar-Anel & Weili Fan, 2023. "The SEV-SV Model—Applications in Portfolio Optimization," Risks, MDPI, vol. 11(2), pages 1-34, January.
    11. Carol Alexandra & Leonardo M. Nogueira, 2005. "Optimal Hedging and Scale Inavriance: A Taxonomy of Option Pricing Models," ICMA Centre Discussion Papers in Finance icma-dp2005-10, Henley Business School, University of Reading, revised Nov 2005.
    12. Josselin Garnier & Knut Sølna, 2018. "Option pricing under fast-varying and rough stochastic volatility," Annals of Finance, Springer, vol. 14(4), pages 489-516, November.
    13. Lord, Roger & Fang, Fang & Bervoets, Frank & Oosterlee, Kees, 2007. "A fast and accurate FFT-based method for pricing early-exercise options under Lévy processes," MPRA Paper 1952, University Library of Munich, Germany.
    14. Antoine Jacquier & Patrick Roome, 2015. "Black-Scholes in a CEV random environment," Papers 1503.08082, arXiv.org, revised Nov 2017.
    15. Darren Shannon & Grigorios Fountas, 2021. "Extending the Heston Model to Forecast Motor Vehicle Collision Rates," Papers 2104.11461, arXiv.org, revised May 2021.
    16. Da Fonseca José & Grasselli Martino & Ielpo Florian, 2014. "Estimating the Wishart Affine Stochastic Correlation Model using the empirical characteristic function," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 18(3), pages 1-37, May.
    17. Eduardo Abi Jaber, 2022. "The characteristic function of Gaussian stochastic volatility models: an analytic expression," Working Papers hal-02946146, HAL.
    18. Chen, An & Hieber, Peter & Sureth, Caren, 2022. "Pay for tax certainty? Advance tax rulings for risky investment under multi-dimensional tax uncertainty," arqus Discussion Papers in Quantitative Tax Research 273, arqus - Arbeitskreis Quantitative Steuerlehre.
    19. Peter Carr & Liuren Wu, 2014. "Static Hedging of Standard Options," Journal of Financial Econometrics, Oxford University Press, vol. 12(1), pages 3-46.
    20. Chiarella, Carl & Kang, Boda & Nikitopoulos, Christina Sklibosios & Tô, Thuy-Duong, 2013. "Humps in the volatility structure of the crude oil futures market: New evidence," Energy Economics, Elsevier, vol. 40(C), pages 989-1000.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:wsi:ijfexx:v:04:y:2017:i:01:n:s2424786317500128. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Tai Tone Lim (email available below). General contact details of provider: http://www.worldscientific.com/worldscinet/ijfe .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.