IDEAS home Printed from https://ideas.repec.org/p/zbw/fsfmwp/165.html
   My bibliography  Save this paper

Modellierung von Zinsstrukturkurven

Author

Listed:
  • Hewicker, Harald
  • Cremers, Heinz

Abstract

Being able to model yield curves from observed bond yields is essential in capital markets. Yield curves are required to accurately price financial products as well as to correctly assess the macroeconomic situation of economies. Current models based on the work of Nelson/Siegel et al. apply a yield-based approach. This paper examines if a discount factor based bucketing approach provides more suitable results. Both methods are put to the test using German government bond data ranging from 1999 - 2010. The results reveal that the bucketing model is able to yield slightly more accurate results in general. Furthermore the findings are superior in market situations with a very twisted yield curve compared to the Nelson/Siegel model. The bucketing approach, however, has problems in conditions with very steep hikes at the short end of the yield curve and with markets in which only very few bonds can be observed.

Suggested Citation

  • Hewicker, Harald & Cremers, Heinz, 2011. "Modellierung von Zinsstrukturkurven," Frankfurt School - Working Paper Series 165, Frankfurt School of Finance and Management.
    • Handle: RePEc:zbw:fsfmwp:165
    as

    Download full text from publisher

    File URL: https://www.econstor.eu/bitstream/10419/48652/1/664523366.pdf
    Download Restriction: no
    ---><---

    Citations

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


    Cited by:

    1. Inklaar, Robert & Koetter, Michael & Noth, Felix, 2012. "Who's afraid of big bad banks? Bank competition, SME, and industry growth," Frankfurt School - Working Paper Series 197, Frankfurt School of Finance and Management.
    2. Dietmar Harhoff & Elisabeth Mueller & John Van Reenen, 2014. "What are the Channels for Technology Sourcing? Panel Data Evidence from German Companies," Journal of Economics & Management Strategy, Wiley Blackwell, vol. 23(1), pages 204-224, March.
    3. Boeing, Philipp & Mueller, Elisabeth & Sandner, Philipp, 2012. "What makes Chinese firms productive? Learning from indigenous and foreign sources of knowledge," Frankfurt School - Working Paper Series 196, Frankfurt School of Finance and Management.
    4. Anastasios Demertzidis & Vahidin Jeleskovic, 2021. "Empirical Estimation of Intraday Yield Curves on the Italian Interbank Credit Market e-MID," JRFM, MDPI, vol. 14(5), pages 1-23, May.
    5. Kostka, Genia & Moslener, Ulf & Andreas, Jan G., 2011. "Barriers to energy efficiency improvement: Empirical evidence from small-and-medium sized enterprises in China," Frankfurt School - Working Paper Series 178, Frankfurt School of Finance and Management.
    6. Yu, Xiaofan, 2011. "A spatial interpretation of the persistency of China's provincial inequality," Frankfurt School - Working Paper Series 171, Frankfurt School of Finance and Management.
    7. Böing, Philipp & Müller, Elisabeth, 2012. "Technological Capabilities of Chinese Enterprises: Who is Going to Compete Abroad?," VfS Annual Conference 2012 (Goettingen): New Approaches and Challenges for the Labor Market of the 21st Century 62081, Verein für Socialpolitik / German Economic Association.
    8. Odermann, Alexander & Cremers, Heinz, 2013. "Komponenten und Determinanten des Credit Spreads: Empirische Untersuchung während Phasen von Marktstress," Frankfurt School - Working Paper Series 204, Frankfurt School of Finance and Management.

    More about this item

    Keywords

    yield curve; zero curve; modeling; bootstrapping; Nelson/Siegel; Svensson; Diebold/Li; bucketing; interpolation;
    All these keywords.

    JEL classification:

    • C52 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Evaluation, Validation, and Selection
    • 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:zbw:fsfmwp:165. 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: ZBW - Leibniz Information Centre for Economics (email available below). General contact details of provider: https://edirc.repec.org/data/hfbfide.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.