IDEAS home Printed from https://ideas.repec.org/a/aza/rmfi00/y2023v16i3p237-255.html
   My bibliography  Save this article

A bottom-up, reduced form credit risk model approach for the determination of collateralised loan obligation capital

Author

Listed:
  • Jarrow, Robert

    (Ronald P. and Susan E. Lynch Professor of Investment Management, Cornell University, USA)

  • Van Deventer, Donald R.

    (Managing Director, SAS Institute Inc., USA)

Abstract

This paper uses a bottom-up, reduced form credit risk model with hazard rate estimated default probabilities to compute various collateralised loan obligation (CLO) tranches' loss probabilities and capital factors. It is shown that with respect to the loss probabilities, credit rated CLO tranches are less risky than comparably rated corporate bonds. In addition, a similar argument can be made that corporate debt loss rates will be on average larger than equally rated CLO tranche loss rates. And, it is shown that the National Association of Insurance Commissioners (NAIC) capital factors are typically larger than value-at-risk based capital factors. The policy implication is that NAIC capital factors distort investment incentives by requiring too much capital for CLOs relative to equally rated corporate debt.

Suggested Citation

  • Jarrow, Robert & Van Deventer, Donald R., 2023. "A bottom-up, reduced form credit risk model approach for the determination of collateralised loan obligation capital," Journal of Risk Management in Financial Institutions, Henry Stewart Publications, vol. 16(3), pages 237-255, June.
  • Handle: RePEc:aza:rmfi00:y:2023:v:16:i:3:p:237-255
    as

    Download full text from publisher

    File URL: https://hstalks.com/article/7822/download/
    Download Restriction: Requires a paid subscription for full access.

    File URL: https://hstalks.com/article/7822/
    Download Restriction: Requires a paid subscription for full access.
    ---><---

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

    Citations

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


    Cited by:

    1. Chuang-Chang Chang & Hsiao-Wei Ho & Henry Hongren Huang & Yildiray Yildirim, 2024. "A reduced-form model for lease contract valuation with embedded options," Review of Quantitative Finance and Accounting, Springer, vol. 62(2), pages 841-864, February.

    More about this item

    Keywords

    collateralised loan obligations; NAIC capital factors; loss probabilities; credit risk; value-at-risk;
    All these keywords.

    JEL classification:

    • G2 - Financial Economics - - Financial Institutions and Services
    • E5 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit

    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:aza:rmfi00:y:2023:v:16:i:3:p:237-255. 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: Henry Stewart Talks (email available below). General contact details of provider: .

    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.