IDEAS home Printed from https://ideas.repec.org/a/spr/annopr/v99y2000i1p267-28610.1023-a1019227901758.html
   My bibliography  Save this article

Sensitivity of Bond Portfolio's Behavior with Respect to Random Movements in Yield Curve: A Simulation Study

Author

Listed:
  • Marida Bertocchi
  • Vittorio Moriggia
  • Jitka Dupačová

Abstract

The bond portfolio management problem is formulated as a stochastic program based on interest rate scenarios. The coefficients of the resulting program are subject to errors of various kind. In this paper, we complement the theoretical stability results of by simulation experiments. Adapting the approach of to problems based on perturbed yield curves, we then provide bounds for the optimality gap for various candidate first-stage solutions. Copyright Kluwer Academic Publishers 2000

Suggested Citation

  • Marida Bertocchi & Vittorio Moriggia & Jitka Dupačová, 2000. "Sensitivity of Bond Portfolio's Behavior with Respect to Random Movements in Yield Curve: A Simulation Study," Annals of Operations Research, Springer, vol. 99(1), pages 267-286, December.
    • Handle: RePEc:spr:annopr:v:99:y:2000:i:1:p:267-286:10.1023/a:1019227901758
    DOI: 10.1023/A:1019227901758
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1023/A:1019227901758
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1023/A:1019227901758?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
    ---><---

    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. Lapshin, Victor & Sohatskaya, Sofia, 2020. "Choosing the weighting coefficients for estimating the term structure from sovereign bonds," International Review of Economics & Finance, Elsevier, vol. 70(C), pages 635-648.
    2. Dana Cíchová Králová, 2015. "Využití modelu BGM při řízení úrokového rizika v českém prostředí v období po finanční krizi [Aplication of the BGM Model for Interest Rate Risk Management in the Czech Environment after Financial ," Politická ekonomie, Prague University of Economics and Business, vol. 2015(6), pages 714-740.
    3. Marida Bertocchi & Vittorio Moriggia & Jitka Dupačová, 2006. "Horizon and stages in applications of stochastic programming in finance," Annals of Operations Research, Springer, vol. 142(1), pages 63-78, February.
    4. Robert Ferstl & Alexander Weissensteiner, 2011. "Backtesting Short-Term Treasury Management Strategies Based on Multi-Stage Stochastic Programming," Palgrave Macmillan Books, in: Gautam Mitra & Katharina Schwaiger (ed.), Asset and Liability Management Handbook, chapter 19, pages 469-494, Palgrave Macmillan.
    5. Rebecca Stockbridge & Güzin Bayraksan, 2016. "Variance reduction in Monte Carlo sampling-based optimality gap estimators for two-stage stochastic linear programming," Computational Optimization and Applications, Springer, vol. 64(2), pages 407-431, June.
    6. Yonghan Feng & Sarah Ryan, 2016. "Solution sensitivity-based scenario reduction for stochastic unit commitment," Computational Management Science, Springer, vol. 13(1), pages 29-62, January.
    7. Emrah Ahi & Vedat Akgiray & Emrah Sener, 2018. "Robust term structure estimation in developed and emerging markets," Annals of Operations Research, Springer, vol. 260(1), pages 23-49, January.

    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:spr:annopr:v:99:y:2000:i:1:p:267-286:10.1023/a:1019227901758. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.