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Contingent conversion convertible bond: New avenue to raise bank capital

Author

Listed:
  • Francesca Erica Di Girolamo

    (European Commission, JRC, Via E. Fermi 2749, 21027 Ispra (VA), Italy)

  • Francesca Campolongo

    (European Commission, JRC, Via E. Fermi 2749, 21027 Ispra (VA), Italy)

  • Jan De Spiegeleer

    (#x2020;Department of Mathematics, KU Leuven, Leuven, Belgium‡Head of Risk Management, Jabre Capital Partners, Geneva, Switzerland)

  • Wim Schoutens

    (#x2020;Department of Mathematics, KU Leuven, Leuven, Belgium)

Abstract

This paper provides an in-depth analysis of the structuring and the pricing of an innovative financial market product. This instrument is called a contingent conversion convertible bond or “CoCoCo”. This hybrid bond is itself a combination of two other hybrid instruments: a contingent convertible (“CoCo”) and a convertible bond. This combination introduces more complexity in the structure but it also allows investors to profit from strong share price performances. This upside potential is added on top of the normal contingent convertible mechanics of CoCos, which expose the investors to mainly downside risk. First, we explain how the features of the contingent convertible bonds on one side and the features of the standard convertible bonds on the other side are combined. Thereafter, we propose a pricing approach which moves away from the standard Black&Scholes setting. The CoCoCos are evaluated using the Heston process to which a Hull-White interest rate process has been added. We demonstrate the importance of using a stochastic interest rate when modeling this instrument. Finally we quantify the loss absorbing capacity of this instrument.

Suggested Citation

  • 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.
    • Handle: RePEc:wsi:ijfexx:v:04:y:2017:i:01:n:s2424786317500013
    DOI: 10.1142/S2424786317500013
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    as
    1. Longstaff, Francis A & Schwartz, Eduardo S, 2001. "Valuing American Options by Simulation: A Simple Least-Squares Approach," The Review of Financial Studies, Society for Financial Studies, vol. 14(1), pages 113-147.
    2. Olivier Blanchard, 2009. "The Crisis: Basic Mechanisms and Appropriate Policies," CESifo Forum, ifo Institute - Leibniz Institute for Economic Research at the University of Munich, vol. 10(01), pages 3-14, April.
    3. Luc Laeven & Fabian Valencia, 2020. "Systemic Banking Crises Database II," IMF Economic Review, Palgrave Macmillan;International Monetary Fund, vol. 68(2), pages 307-361, June.
    4. John C. Cox & Jonathan E. Ingersoll Jr. & Stephen A. Ross, 2005. "A Theory Of The Term Structure Of Interest Rates," World Scientific Book Chapters, in: Sudipto Bhattacharya & George M Constantinides (ed.), Theory Of Valuation, chapter 5, pages 129-164, World Scientific Publishing Co. Pte. Ltd..
    5. 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.
    6. Ingersoll, Jonathan Jr., 1977. "A contingent-claims valuation of convertible securities," Journal of Financial Economics, Elsevier, vol. 4(3), pages 289-321, May.
    7. Robert A. Jarrow & Stuart M. Turnbull, 2008. "Pricing Derivatives on Financial Securities Subject to Credit Risk," World Scientific Book Chapters, in: Financial Derivatives Pricing Selected Works of Robert Jarrow, chapter 17, pages 377-409, World Scientific Publishing Co. Pte. Ltd..
    8. McDonald, Robert L., 2013. "Contingent capital with a dual price trigger," Journal of Financial Stability, Elsevier, vol. 9(2), pages 230-241.
    9. Merton, Robert C, 1974. "On the Pricing of Corporate Debt: The Risk Structure of Interest Rates," Journal of Finance, American Finance Association, vol. 29(2), pages 449-470, May.
    10. Marco Ratto, 2008. "Analysing DSGE Models with Global Sensitivity Analysis," Computational Economics, Springer;Society for Computational Economics, vol. 31(2), pages 115-139, March.
    11. Brennan, Michael J. & Schwartz, Eduardo S., 1980. "Analyzing Convertible Bonds," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 15(4), pages 907-929, November.
    12. 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.
    13. 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.
    14. 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.
    15. Hull, John & White, Alan, 1990. "Pricing Interest-Rate-Derivative Securities," The Review of Financial Studies, Society for Financial Studies, vol. 3(4), pages 573-592.
    16. Stijn Claessens, 2010. "The Financial Crisis," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 4(2), pages 177-196, May.
    17. Marco Ratto & Andrea Pagano, 2010. "Using recursive algorithms for the efficient identification of smoothing spline ANOVA models," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 94(4), pages 367-388, December.
    18. Mr. Stijn Claessens & Mr. Luc Laeven & Ms. Deniz O Igan & Mr. Giovanni Dell'Ariccia, 2010. "Lessons and Policy Implications from the Global Financial Crisis," IMF Working Papers 2010/044, International Monetary Fund.
    19. Brennan, M J & Schwartz, Eduardo S, 1977. "Convertible Bonds: Valuation and Optimal Strategies for Call and Conversion," Journal of Finance, American Finance Association, vol. 32(5), pages 1699-1715, December.
    20. Akihiko Takahashi & Takao Kobayashi & Naruhisa Nakagawa, 2001. "Pricing Convertible Bonds with Default Risk: A Duffie-Singleton Approach," CIRJE F-Series CIRJE-F-140, CIRJE, Faculty of Economics, University of Tokyo.
    21. Black, Fischer, 1976. "The pricing of commodity contracts," Journal of Financial Economics, Elsevier, vol. 3(1-2), pages 167-179.
    22. Longstaff, Francis A & Schwartz, Eduardo S, 2001. "Valuing American Options by Simulation: A Simple Least-Squares Approach," University of California at Los Angeles, Anderson Graduate School of Management qt43n1k4jb, Anderson Graduate School of Management, UCLA.
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    Cited by:

    1. Wolff, Christian & Masror Khah, Sara Abed, 2015. "The Determinants of CoCo Bond Prices," CEPR Discussion Papers 10996, C.E.P.R. Discussion Papers.
    2. 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.
    3. Liu, Liang-Chih & Dai, Tian-Shyr & Zhou, Lei, 2024. "On the design of bail-in-able bonds from the perspective of non-financial firms," International Review of Economics & Finance, Elsevier, vol. 89(PA), pages 1136-1155.
    4. Piotr Jaworski & Kamil Liberadzki & Marcin Liberadzki, 2021. "On Write-Down/ Write-Up Loss Absorbing Instruments," European Research Studies Journal, European Research Studies Journal, vol. 0(1), pages 1204-1219.

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