IDEAS home Printed from https://ideas.repec.org/a/idn/journl/v11y2009i4ap293-322.html
   My bibliography  Save this article

Pemodelan Kurva Imbal Hasil Obligasi Korporasi Rating Aa Dan A Dengan Nelson Siegel Svensson Dan Cubic Spline Smoothing

Author

Listed:
  • Denny Permatasari
  • Nur Iriawan

    (Institut Teknologi Sepuluh November)

Abstract

Bond is one of commercial instrument that influence economic sector in Indonesia. Bond transaction can’t be made in the market directly, but it has been traded through securities. On average, there are only few bond transactions with the various market prices. Benchmarking is, therefore, needed to be created to determining bond price through yield curve. Through yield curve, the relation between yield of bond with same credit risk (rating) and different time to maturity can be seen. This research is conducted by employing time to maturity to model the yield of some selected corporate bonds with rating of AA and A. Two methods, Nelson Siegel Svensson (NSS) method couple with Levenberg-Marquardt optimization and Cubic Spline Smoothing (CSS) are employed here. These two methods have been applied to data from Indonesian Stock Exchange (IDX) ranging September to November 2008. The results show that CSS give smallest RMSE and MAE. In contrast, Nelson Siegel Svensson reports a model which more parsimony, more easily to be explained, and more adaptable to keep upfoward maturity than CSS. This research takes into account that NSS is better to be to model corporate bonds yield curve than CSS. Another importance conclusion that can be gather is that corporate bonds (with rating of AA and A) yield are hang about under IGSYC in certain period. Its means, that corporate bond market in Indonesia is not good for investment comparing to government bond.

Suggested Citation

  • Denny Permatasari & Nur Iriawan, 2009. "Pemodelan Kurva Imbal Hasil Obligasi Korporasi Rating Aa Dan A Dengan Nelson Siegel Svensson Dan Cubic Spline Smoothing," Bulletin of Monetary Economics and Banking, Bank Indonesia, vol. 11(4), pages 293-322, April.
    • Handle: RePEc:idn:journl:v:11:y:2009:i:4a:p:293-322
    DOI: https://doi.org/10.21098/bemp.v11i4.463
    as

    Download full text from publisher

    File URL: https://bulletin.bmeb-bi.org/cgi/viewcontent.cgi?article=1377&context=bmeb
    Download Restriction: no
    File URL: https://libkey.io/https://doi.org/10.21098/bemp.v11i4.463?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
    ---><---

    More about this item

    Keywords

    Cubic Spline Smoothing; Nelson Siegel Svensson; corporate bond; Levenberg-Marquardt;
    All these keywords.

    JEL classification:

    • C01 - Mathematical and Quantitative Methods - - General - - - Econometrics
    • C25 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions; Probabilities
    • C51 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Model Construction and Estimation
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

    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:idn:journl:v:11:y:2009:i:4a:p:293-322. 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: Lutzardo Tobing or Jimmy Kathon (email available below). General contact details of provider: https://edirc.repec.org/data/bigovid.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.