IDEAS home Printed from https://ideas.repec.org/a/bpj/jossai/v2y2014i5p428-436n4.html
   My bibliography  Save this article

Design and Pricing of Chinese Contingent Convertible Bonds

Author

Listed:
  • Li Ping

    (Department of Finance, Beihang University, Beijing100083, China)

  • Liu Jie

    (Department of Finance, Beihang University, Beijing100083, China)

Abstract

The financial crisis since 2007 has highlighted the fragility of the banking system. To address this deficiency, the Basel committee has agreed upon Basel III which consists of reinforcing banks’ capital through new regulatory requirements. Raising additional funds by issuing common equity would lead to a significant cost for banks. Facing the problem, regulators came up with the concept of contingent capital. Contingent convertible (Coco) bonds have been the topic as both a solution to the “too big to fail” problem and a measure by which financial institutions can save themselves. In this paper we first give the introduction of Coco bonds, then present the design of Chinese Coco bonds and pricing Coco bonds through an equity derivative approach as well as sensitivity analysis based on B-S-M hypothesis. Considering that the stock return follows fat-tail distribution, this paper uses Heston stochastic volatility model to price Coco bonds. Finally we give some proposals for developing Coco bonds market in China.

Suggested Citation

  • Li Ping & Liu Jie, 2014. "Design and Pricing of Chinese Contingent Convertible Bonds," Journal of Systems Science and Information, De Gruyter, vol. 2(5), pages 428-436, October.
    • Handle: RePEc:bpj:jossai:v:2:y:2014:i:5:p:428-436:n:4
    DOI: 10.1515/JSSI-2014-0428
    as

    Download full text from publisher

    File URL: https://doi.org/10.1515/JSSI-2014-0428
    Download Restriction: no
    File URL: https://libkey.io/10.1515/JSSI-2014-0428?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
    ---><---

    References listed on IDEAS

    as
    1. Bakshi, Gurdip & Cao, Charles & Chen, Zhiwu, 1997. "Empirical Performance of Alternative Option Pricing Models," Journal of Finance, American Finance Association, vol. 52(5), pages 2003-2049, December.
    2. Barucci, Emilio & Del Viva, Luca, 2012. "Countercyclical contingent capital," Journal of Banking & Finance, Elsevier, vol. 36(6), pages 1688-1709.
    3. 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.
    4. Ingersoll, Jonathan Jr., 1977. "A contingent-claims valuation of convertible securities," Journal of Financial Economics, Elsevier, vol. 4(3), pages 289-321, May.
    5. McDonald, Robert L., 2013. "Contingent capital with a dual price trigger," Journal of Financial Stability, Elsevier, vol. 9(2), pages 230-241.
    6. Emilio Barucci & Luca Del Viva, 2013. "Dynamic capital structure and the contingent capital option," Annals of Finance, Springer, vol. 9(3), pages 337-364, August.
    7. Kenneth R. French & Martin N. Baily & John Y. Campbell & John H. Cochrane & Douglas W. Diamond & Darrell Duffie & Anil K Kashyap & Frederic S. Mishkin & Raghuram G. Rajan & David S. Scharfstein & Robe, 2010. "The Squam Lake Report: Fixing the Financial System," Economics Books, Princeton University Press, edition 1, number 9261.
    8. Brennan, Michael J. & Schwartz, Eduardo S., 1979. "A continuous time approach to the pricing of bonds," Journal of Banking & Finance, Elsevier, vol. 3(2), pages 133-155, July.
    9. Giuseppe De Martino & Massimo Libertucci & Mario Marangoni & Mario Quagliariello, 2010. "Countercyclical contingent capital (CCC): possible use and ideal design," Questioni di Economia e Finanza (Occasional Papers) 71, Bank of Italy, Economic Research and International Relations Area.
    10. Black, Fischer & Scholes, Myron S, 1973. "The Pricing of Options and Corporate Liabilities," Journal of Political Economy, University of Chicago Press, vol. 81(3), pages 637-654, May-June.
    11. Michael J. Brennan and Eduardo S. Schwartz., 1979. "A Continuous-Time Approach to the Pricing of Bonds," Research Program in Finance Working Papers 85, University of California at Berkeley.
    Full references (including those not matched with items on IDEAS)

    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. Suresh M. Sundaresan, 2000. "Continuous‐Time Methods in Finance: A Review and an Assessment," Journal of Finance, American Finance Association, vol. 55(4), pages 1569-1622, August.
    2. Diep Duong & Norman R. Swanson, 2011. "Volatility in Discrete and Continuous Time Models: A Survey with New Evidence on Large and Small Jumps," Departmental Working Papers 201117, Rutgers University, Department of Economics.
    3. Zhiwu Chen & Gurdip Bakshi, 2001. "Stock Valuation in Dynamic Economics," Yale School of Management Working Papers ysm198, Yale School of Management.
    4. repec:wyi:journl:002109 is not listed on IDEAS
    5. Bakshi, Gurdip & Chen, Zhiwu, 2005. "Stock valuation in dynamic economies," Journal of Financial Markets, Elsevier, vol. 8(2), pages 111-151, May.
    6. Carl Chiarella & Xue-Zhong He & Christina Sklibosios Nikitopoulos, 2015. "Derivative Security Pricing," Dynamic Modeling and Econometrics in Economics and Finance, Springer, edition 127, number 978-3-662-45906-5, May.
    7. Diep Duong & Norman Swanson, 2013. "Density and Conditional Distribution Based Specification Analysis," Departmental Working Papers 201312, Rutgers University, Department of Economics.
    8. 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.
    9. René Garcia & Richard Luger & Eric Renault, 2000. "Asymmetric Smiles, Leverage Effects and Structural Parameters," Working Papers 2000-57, Center for Research in Economics and Statistics.
    10. Carvalho, Augusto & Guimaraes, Bernardo, 2018. "State-controlled companies and political risk: Evidence from the 2014 Brazilian election," Journal of Public Economics, Elsevier, vol. 159(C), pages 66-78.
    11. Jurczenko, Emmanuel & Maillet, Bertrand & Negrea, Bogdan, 2002. "Revisited multi-moment approximate option pricing models: a general comparison (Part 1)," LSE Research Online Documents on Economics 24950, London School of Economics and Political Science, LSE Library.
    12. Christoffersen, Peter & Heston, Steven & Jacobs, Kris, 2010. "Option Anomalies and the Pricing Kernel," Working Papers 11-17, University of Pennsylvania, Wharton School, Weiss Center.
    13. Yeap, Claudia & Kwok, Simon S. & Choy, S. T. Boris, 2016. "A Flexible Generalised Hyperbolic Option Pricing Model and its Special Cases," Working Papers 2016-14, University of Sydney, School of Economics.
    14. Chang, Eric C. & Ren, Jinjuan & Shi, Qi, 2009. "Effects of the volatility smile on exchange settlement practices: The Hong Kong case," Journal of Banking & Finance, Elsevier, vol. 33(1), pages 98-112, January.
    15. José Valentim Machado Vicente & Jaqueline Terra Moura Marins, 2019. "A Volatility Smile-Based Uncertainty Index," Working Papers Series 502, Central Bank of Brazil, Research Department.
    16. Bjork, Tomas, 2009. "Arbitrage Theory in Continuous Time," OUP Catalogue, Oxford University Press, edition 3, number 9780199574742.
    17. Jobst, Andreas A., 2014. "Measuring systemic risk-adjusted liquidity (SRL)—A model approach," Journal of Banking & Finance, Elsevier, vol. 45(C), pages 270-287.
    18. Diego Amaya & Jean-François Bégin & Geneviève Gauthier, 2022. "The Informational Content of High-Frequency Option Prices," Management Science, INFORMS, vol. 68(3), pages 2166-2201, March.
    19. Ciprian Necula & Gabriel Drimus & Walter Farkas, 2019. "A general closed form option pricing formula," Review of Derivatives Research, Springer, vol. 22(1), pages 1-40, April.
    20. Christoffersen, Peter & Jacobs, Kris & Chang, Bo Young, 2013. "Forecasting with Option-Implied Information," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 581-656, Elsevier.
    21. Geoffrey Poitras & John Heaney, 2015. "Classical Ergodicity and Modern Portfolio Theory," Post-Print hal-03680380, HAL.

    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:bpj:jossai:v:2:y:2014:i:5:p:428-436:n:4. 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: Peter Golla (email available below). General contact details of provider: https://www.degruyter.com .

    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.