IDEAS home Printed from https://ideas.repec.org/a/bla/acctfi/v43y2003i1p87-121.html
   My bibliography  Save this article

On the robustness of short–term interest rate models

Author

Listed:
  • Sirimon Treepongkaruna
  • Stephen Gray

Abstract

This paper investigates the robustness of a range of short–term interest rate models. We examine the robustness of these models over different data sets, time periods, sampling frequencies, and estimation techniques. We examine a range of popular one–factor models that allow the conditional mean (drift) and conditional variance (diffusion) to be functions of the current short rate. We find that parameter estimates are highly sensitive to all of these factors in the eight countries that we examine. Since parameter estimates are not robust, these models should be used with caution in practice.

Suggested Citation

  • Sirimon Treepongkaruna & Stephen Gray, 2003. "On the robustness of short–term interest rate models," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 43(1), pages 87-121, March.
    • Handle: RePEc:bla:acctfi:v:43:y:2003:i:1:p:87-121
    DOI: 10.1111/1467-629X.00084
    as

    Download full text from publisher

    File URL: https://doi.org/10.1111/1467-629X.00084
    Download Restriction: no
    File URL: https://libkey.io/10.1111/1467-629X.00084?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
    ---><---

    Citations

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


    Cited by:

    1. Sirimon Treepongkaruna & Stephen Gray, 2006. "Are there nonlinearities in short‐term interest rates?," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 46(1), pages 149-167, March.
    2. Kam Fong Chan, 2005. "Modelling conditional heteroscedasticity and jumps in Australian short‐term interest rates," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 45(4), pages 537-551, December.
    3. Somayeh Kokabisaghi & Eric J. Pauwels & Katrien Van Meulder & André B. Dorsman, 2018. "Are These Shocks for Real? Sensitivity Analysis of the Significance of the Wavelet Response to Some CKLS Processes," IJFS, MDPI, vol. 6(3), pages 1-12, September.
    4. Beata Stehlikova & Daniel Sevcovic, 2008. "Approximate formulae for pricing zero-coupon bonds and their asymptotic analysis," Papers 0802.3039, arXiv.org, revised Jul 2008.
    5. Josheski Dushko & Apostolov Mico, 2021. "Equilibrium Short-Rate Models Vs No-Arbitrage Models: Literature Review and Computational Examples," Econometrics. Advances in Applied Data Analysis, Sciendo, vol. 25(3), pages 42-71, September.
    6. Vijay A. Murik, 2013. "Bond pricing with a surface of zero coupon yields," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 53(2), pages 497-512, June.
    7. Andrew D. Sanford & Gael Martin, 2004. "Bayesian Analysis of Continuous Time Models of the Australian Short Rate," Monash Econometrics and Business Statistics Working Papers 11/04, Monash University, Department of Econometrics and Business Statistics.
    8. Robert Faff & Sirimon Treepongkaruna, 2013. "A re-examination of the empirical performance of the Longstaff and Schwartz two-factor term structure model using real yield data," Australian Journal of Management, Australian School of Business, vol. 38(2), pages 333-352, August.
    9. Peter Dunn & Scott Francis & Jason Hall, 2009. "Leveraged superannuation," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 49(3), pages 505-529, September.
    10. Vijay A Murik, 2013. "Measuring monetary policy expectations," Australian Journal of Management, Australian School of Business, vol. 38(1), pages 49-65, April.
    11. Faff, Robert & Gray, Philip, 2006. "On the estimation and comparison of short-rate models using the generalised method of moments," Journal of Banking & Finance, Elsevier, vol. 30(11), pages 3131-3146, November.
    12. Christopher M. Bilson & Timothy J. Brailsford & Luke J. Sullivan & Sirimon Treepongkaruna, 2008. "Pricing Bonds in the Australian Market," Australian Journal of Management, Australian School of Business, vol. 33(1), pages 123-143, June.
    13. Andrew D. Sanford & Gael M. Martin, 2006. "Bayesian comparison of several continuous time models of the Australian short rate," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 46(2), pages 309-326, June.

    More about this item

    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:bla:acctfi:v:43:y:2003:i:1:p:87-121. 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: Wiley Content Delivery (email available below). General contact details of provider: https://edirc.repec.org/data/aaanzea.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.