[go: up one dir, main page]
IDEAS home Printed from https://ideas.repec.org/p/tin/wpaper/20030028.html
   My bibliography  Save this paper

Valuing Euro Rating-Triggered Step-Up Telecom Bonds

Author

Listed:
  • Patrick Houweling

    (Faculty of Economics, Erasmus University Rotterdam)

  • Albert Mentink

    (Erasmus University Rotterdam, and Aegon Asset Management)

  • Ton Vorst

    (VU University Amsterdam)

Abstract
We value rating-triggered step-up bonds with three methods: (i) the Jarrow, Lando andTurnbull (1997, JLT) framework, (ii) a similar framework using historical probabilities and(iii) as plain vanilla bonds. We find that the market seems to value single step-up bondsaccording to the JLT model, while it values multiple step-up bonds as plain vanilla bonds.Further, step-up feature market premiums are more volatile than JLT and historical premiums,and the JLT model approximates market premiums always better than the historical method.Finally, most step-up bonds offer a cushion against rating migrations via dampened pricemovements.

Suggested Citation

  • Patrick Houweling & Albert Mentink & Ton Vorst, 2003. "Valuing Euro Rating-Triggered Step-Up Telecom Bonds," Tinbergen Institute Discussion Papers 03-028/2, Tinbergen Institute.
    • Handle: RePEc:tin:wpaper:20030028
    as

    Download full text from publisher

    File URL: https://papers.tinbergen.nl/03028.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    Citations

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


    Cited by:

    1. Myklebust, Tor Åge, 2012. "Performance Sensitive Debt - Investment and Financing Incentives," Discussion Papers 2012/7, Norwegian School of Economics, Department of Business and Management Science.
    2. Koziol, Christian & Lawrenz, Jochen, 2010. "Optimal design of rating-trigger step-up bonds: Agency conflicts versus asymmetric information," Journal of Corporate Finance, Elsevier, vol. 16(2), pages 182-204, April.
    3. Manso, Gustavo, 2013. "Feedback effects of credit ratings," Journal of Financial Economics, Elsevier, vol. 109(2), pages 535-548.

    More about this item

    Keywords

    step-up bonds; Jarrow-Lando-Turnbull model; rating-based reduced form model; transition probabilities.;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    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:tin:wpaper:20030028. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Tinbergen Office +31 (0)10-4088900 (email available below). General contact details of provider: https://edirc.repec.org/data/tinbenl.html .

    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.