IDEAS home Printed from https://ideas.repec.org/p/chb/bcchwp/616.html
   My bibliography  Save this paper

Uso de la Aproximación TIR/Duración en la Estructura de Tasas: Resultados Cuantitativos Bajo Nelson - Siegel

Author

Listed:
  • Rodrigo Alfaro
  • Juan Sebastián Becerra

Abstract

In this paper we measure the error of estimating the term structure by the YTM/Duration approximation. The figures are based on the fact that model of term structure proposed by Nelson and Siegel (1987) is valid, and bonds are bullets. For the case of Chile we found that the approximation implies about 5-6 basis points, which are smaller than the one implied by using the maturity of the bond.

Suggested Citation

  • Rodrigo Alfaro & Juan Sebastián Becerra, 2011. "Uso de la Aproximación TIR/Duración en la Estructura de Tasas: Resultados Cuantitativos Bajo Nelson - Siegel," Working Papers Central Bank of Chile 616, Central Bank of Chile.
  • Handle: RePEc:chb:bcchwp:616
    as

    Download full text from publisher

    File URL: https://www.bcentral.cl/documents/33528/133326/DTBC_616.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Gonzalo Cortazar & Eduardo S. Schwartz & Lorenzo F. Naranjo, 2007. "Term-structure estimation in markets with infrequent trading," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 12(4), pages 353-369.
    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. Fernando A. Broner & Guido Lorenzoni & Sergio L. Schmukler, 2013. "Why Do Emerging Economies Borrow Short Term?," Journal of the European Economic Association, European Economic Association, vol. 11, pages 67-100, January.
    2. Gonzalo Cortazar & Cristobal Millard & Hector Ortega & Eduardo S. Schwartz, 2019. "Commodity Price Forecasts, Futures Prices, and Pricing Models," Management Science, INFORMS, vol. 65(9), pages 4141-4155, September.
    3. Shigeyuki Hamori & Naoko Hamori, 2009. "International term structure of interest rates in the Euro area," Applied Economics Letters, Taylor & Francis Journals, vol. 16(11), pages 1113-1116.
    4. Cortazar, Gonzalo & Kovacevic, Ivo & Schwartz, Eduardo S., 2015. "Expected commodity returns and pricing models," Energy Economics, Elsevier, vol. 49(C), pages 60-71.
    5. Juan Andrés Espinosa Torres & Luis Fernando Melo Velandia & José Fernando Moreno Gutiérrez, 2014. "Estimación de la prima por vencimiento de los TES en pesos del gobierno colombiano," Borradores de Economia 12333, Banco de la Republica.
    6. 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.
    7. Gonzalo Cortazar & Simon Gutierrez & Hector Ortega, 2016. "Empirical Performance of Commodity Pricing Models: When is it Worthwhile to Use a Stochastic Volatility Specification?," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 36(5), pages 457-487, May.
    8. Cortazar, Gonzalo & Eterovic, Francisco, 2010. "Can oil prices help estimate commodity futures prices? The cases of copper and silver," Resources Policy, Elsevier, vol. 35(4), pages 283-291, December.
    9. Cortazar, Gonzalo & Beuermann, Diether & Bernales, Alejandro, 2013. "Risk Management with Thinly Traded Securities: Methodology and Implementation," IDB Publications (Working Papers) 4647, Inter-American Development Bank.
    10. Sabit Khakimzhanov & Yerulan Mustafin & Olzhas Kubenbayev & Dulat Atabek, 2019. "Constructing a Yield Curve in a Market with Low Liquidity," Russian Journal of Money and Finance, Bank of Russia, vol. 78(4), pages 71-98, December.
    11. Gonzalo Cortazar & Cristobal Millard & Hector Ortega & Eduardo S. Schwartz, 2016. "Commodity Price Forecasts, Futures Prices and Pricing Models," NBER Working Papers 22991, National Bureau of Economic Research, Inc.
    12. Juan Andrés Espinosa Torres & Luis Fernando Melo Velandia & José Fernando Moreno Gutiérrez, 2014. "Estimación de la prima por vencimiento de los TES en pesos del gobierno colombiano," Borradores de Economia 854, Banco de la Republica de Colombia.
    13. Cifuentes, Sebastián & Cortazar, Gonzalo & Ortega, Hector & Schwartz, Eduardo S., 2020. "Expected prices, futures prices and time-varying risk premiums: The case of copper," Resources Policy, Elsevier, vol. 69(C).

    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:616. 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.