IDEAS home Printed from https://ideas.repec.org/p/chb/bcchwp/531.html
   My bibliography  Save this paper

The Yield Curve Under Nelson-Siegel

Author

Listed:
  • Rodrigo Alfaro

Abstract

Nelson and Siegel (1987) propose a parametric model for the yield curve. Since it is easy to estimate, it became popular among practitioners and Central Bank’s analysts. Diebold and Li (2006) provide a dynamic version of the Nelson-Siegel (DNS) model, showing that it performs well in outof- sample forecasting exercises. However, the model was originally proposed as a curve-fitting tool as opposed to being obtained from a theoretical non-arbitrage framework. Christensen et al. (2009) show that the DNS model is arbitrage-free, giving it theoretical support. In this paper we consider a discrete version of the DNS model, and following the notation developed in Campbell et al. (1997), we show that it belongs to the class of affine-yield model. This provides an alternative proof of the one presented in Christensen et al. (2009), since we use the Euler Equation to show that the yield on a bond is linear in three factors. As in Balduzzi et al. (1998), one of these factors is unobserved, whereas the observed ones can be associated with the long term interest rate and the term spread, respectively. Finally, we discuss the implications of the DNS model for forward rate and the neutral interest rate.

Suggested Citation

  • Rodrigo Alfaro, 2009. "The Yield Curve Under Nelson-Siegel," Working Papers Central Bank of Chile 531, Central Bank of Chile.
  • Handle: RePEc:chb:bcchwp:531
    as

    Download full text from publisher

    File URL: https://www.bcentral.cl/documents/33528/133326/DTBC_531.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Chan, K C, et al, 1992. "An Empirical Comparison of Alternative Models of the Short-Term Interest Rate," Journal of Finance, American Finance Association, vol. 47(3), pages 1209-1227, July.
    2. J.Marcelo Ochoa, 2006. "An interpretation of an affine term structure model of Chile," Estudios de Economia, University of Chile, Department of Economics, vol. 33(2 Year 20), pages 155-184, December.
    3. Marco Morales, 2010. "The real yield curve and macroeconomic factors in the Chilean economy," Applied Economics, Taylor & Francis Journals, vol. 42(27), pages 3533-3545.
    4. Luis Oscar Herrera & Igal Magendzo, 1997. "Expectativas Financieras y la Curva de Tasas Forward de Chile," Working Papers Central Bank of Chile 23, Central Bank of Chile.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Alfaro, Rodrigo & Becerra, Juan Sebastian & Sagner, Andres, 2010. "Estimación de la estructura de tasas utilizando el modelo Dinámico Nelson Siegel: resultados para Chile y EEUU [The Dynamic Nelson-Siegel model: empirical results for Chile and US]," MPRA Paper 25912, University Library of Munich, Germany, revised 23 Jun 2010.
    2. J.Marcelo Ochoa, 2006. "An interpretation of an affine term structure model of Chile," Estudios de Economia, University of Chile, Department of Economics, vol. 33(2 Year 20), pages 155-184, December.
    3. Luis Ceballos & Alberto Naudon & Damián Romero, 2016. "Nominal term structure and term premia: evidence from Chile," Applied Economics, Taylor & Francis Journals, vol. 48(29), pages 2721-2735, June.
    4. Rodrigo Alfaro & Antonio Fernandois & Andrés Sagner, 2018. "Expectativas Financieras y Tasas Forward en Chile," Working Papers Central Bank of Chile 814, Central Bank of Chile.
    5. Fernando Rubio, 2004. "Eficiencia Simple Del Mercado De Renta Fija En Chile," Finance 0405009, University Library of Munich, Germany.
    6. Marcelo Ochoa, 2006. "Interpreting an Affine Term Structure Model for Chile," Working Papers Central Bank of Chile 380, Central Bank of Chile.
    7. Robert R. Bliss & Ehud I. Ronn, 1997. "Callable U.S. Treasury bonds: optimal calls, anomalies, and implied volatilities," FRB Atlanta Working Paper 97-1, Federal Reserve Bank of Atlanta.
    8. Sergio Zúñiga, 1999. "Modelos de Tasas de Interés en Chile: Una Revisión," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 36(108), pages 875-893.
    9. Anna Cieslak & Pavol Povala, 2016. "Information in the Term Structure of Yield Curve Volatility," Journal of Finance, American Finance Association, vol. 71(3), pages 1393-1436, June.
    10. Dennis Capozza & Thomas Thomson, 2004. "Optimal Stopping and Losses on Subprime Mortgages," The Journal of Real Estate Finance and Economics, Springer, vol. 30(2), pages 115-131, November.
    11. Kimmel, Robert L., 2004. "Modeling the term structure of interest rates: A new approach," Journal of Financial Economics, Elsevier, vol. 72(1), pages 143-183, April.
    12. Gabriel J Power & Charli D. Tandja M. & Josée Bastien & Philippe Grégoire, 2015. "Measuring infrastructure investment option value," Journal of Risk Finance, Emerald Group Publishing, vol. 16(1), pages 49-72, January.
    13. Podolskij, Mark & Vetter, Mathias, 2009. "Bipower-type estimation in a noisy diffusion setting," Stochastic Processes and their Applications, Elsevier, vol. 119(9), pages 2803-2831, September.
    14. Allan Jonathan da Silva & Jack Baczynskiy & José Valentim M. Vicente, 2015. "A Discrete Monitoring Method for Pricing Asian Interest Rate Options," Working Papers Series 409, Central Bank of Brazil, Research Department.
    15. Nowman, K. Ben & Sorwar, Ghulam, 2005. "Derivative prices from interest rate models: results for Canada, Hong Kong, and United States," International Review of Financial Analysis, Elsevier, vol. 14(4), pages 428-438.
    16. Hansen, Peter Reinhard, 2003. "Structural changes in the cointegrated vector autoregressive model," Journal of Econometrics, Elsevier, vol. 114(2), pages 261-295, June.
    17. Takami, Marcelo Yoshio & Tabak, Benjamin Miranda, 2008. "Interest rate option pricing and volatility forecasting: An application to Brazil," Chaos, Solitons & Fractals, Elsevier, vol. 38(3), pages 755-763.
    18. Mahdavi, Mahnaz, 2008. "A comparison of international short-term rates under no arbitrage condition," Global Finance Journal, Elsevier, vol. 18(3), pages 303-318.
    19. Ilias Lekkos, 2003. "Cross‐sectional Restrictions on the Spot and Forward Term Structures of Interest Rates and Panel Unit Root Tests," Journal of Business Finance & Accounting, Wiley Blackwell, vol. 30(5‐6), pages 799-828, June.
    20. Takamizawa, Hideyuki & Shoji, Isao, 2009. "Modeling the term structure of interest rates with general diffusion processes: A moment approximation approach," Journal of Economic Dynamics and Control, Elsevier, vol. 33(1), pages 65-77, January.

    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:chb:bcchwp:531. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Alvaro Castillo (email available below). General contact details of provider: https://edirc.repec.org/data/bccgvcl.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.