IDEAS home Printed from https://ideas.repec.org/p/ime/imedps/12-e-04.html
   My bibliography  Save this paper

Comparative Analysis of Zero Coupon Yield Curve Estimation Methods Using JGB Price Data

Author

Listed:
  • Kentaro Kikuchi

    (Deputy Director and Economist, Institute for Monetary and Economic Studies, Bank of Japan (E-mail: kentarou.kikuchi@boj.or.jp))

  • Kohei Shintani

    (Economist, Institute for Monetary and Economic Studies, Bank of Japan (E-mail: kouhei.shintani@boj.or.jp))

Abstract

This paper conducts a comparative analysis of the diverse methods for estimating the Japanese government bond (JGB) zero coupon yield curve (hereafter, zero curve) according to the criteria that estimation methods should meet. Previous studies propose many methods for estimating the zero curve from the market prices of coupon-bearing bonds. In estimating the JGB zero curve, however, an undesirable method may fail to accurately grasp the features of the zero curve. In order to select an appropriate estimation method for the JGB, we set the following criteria for the zero curve: (1) estimates should not fall below zero, (2) estimates should not take abnormal values, (3) estimates should have a good fit to market prices, and (4) the zero curve should have little unevenness. The method which meets these criteria enables us to estimate the zero curve with a good fit to the JGB market prices and a proper interpolation to grasp the features of the zero curve. Based on our analysis, we conclude that the method proposed in Steeley [1991] is the best in light of the criteria for the JGB price data. In fact, the zero curve based on this method can fully capture the characteristics of the JGB zero curve in a prolonged period of accommodative monetary policy.

Suggested Citation

  • Kentaro Kikuchi & Kohei Shintani, 2012. "Comparative Analysis of Zero Coupon Yield Curve Estimation Methods Using JGB Price Data," IMES Discussion Paper Series 12-E-04, Institute for Monetary and Economic Studies, Bank of Japan.
  • Handle: RePEc:ime:imedps:12-e-04
    as

    Download full text from publisher

    File URL: http://www.imes.boj.or.jp/research/papers/english/12-E-04.pdf
    Download Restriction: no
    ---><---

    Other versions of this item:

    References listed on IDEAS

    as
    1. Tanggaard, Carsten, 1997. "Nonparametric Smoothing of Yield Curves," Review of Quantitative Finance and Accounting, Springer, vol. 9(3), pages 251-267, October.
    2. Vasicek, Oldrich A & Fong, H Gifford, 1982. "Term Structure Modeling Using Exponential Splines," Journal of Finance, American Finance Association, vol. 37(2), pages 339-348, May.
    3. McCulloch, J Huston, 1971. "Measuring the Term Structure of Interest Rates," The Journal of Business, University of Chicago Press, vol. 44(1), pages 19-31, January.
    4. Schaefer, Stephen M, 1981. "Measuring a Tax-Specific Term Structure of Interest Rates in the Market for British Government Securities," Economic Journal, Royal Economic Society, vol. 91(362), pages 415-438, June.
    5. Bank for International Settlements, 2005. "Zero-coupon yield curves: technical documentation," BIS Papers, Bank for International Settlements, number 25.
    6. Shiller, Robert J. & Huston McCulloch, J., 1990. "The term structure of interest rates," Handbook of Monetary Economics, in: B. M. Friedman & F. H. Hahn (ed.), Handbook of Monetary Economics, edition 1, volume 1, chapter 13, pages 627-722, Elsevier.
    7. Mark Fisher & Douglas Nychka & David Zervos, 1995. "Fitting the term structure of interest rates with smoothing splines," Finance and Economics Discussion Series 95-1, Board of Governors of the Federal Reserve System (U.S.).
    8. Jarrow, Robert & Ruppert, David & Yu, Yan, 2004. "Estimating the Interest Rate Term Structure of Corporate Debt With a Semiparametric Penalized Spline Model," Journal of the American Statistical Association, American Statistical Association, vol. 99, pages 57-66, January.
    9. Daniel F. Waggoner, 1997. "Spline methods for extracting interest rate curves from coupon bond prices," FRB Atlanta Working Paper 97-10, Federal Reserve Bank of Atlanta.
    10. Carleton, Willard T & Cooper, Ian A, 1976. "Estimation and Uses of the Term Structure of Interest Rates," Journal of Finance, American Finance Association, vol. 31(4), pages 1067-1083, September.
    11. Nelson, Charles R & Siegel, Andrew F, 1987. "Parsimonious Modeling of Yield Curves," The Journal of Business, University of Chicago Press, vol. 60(4), pages 473-489, October.
    12. Ioannides, Michalis, 2003. "A comparison of yield curve estimation techniques using UK data," Journal of Banking & Finance, Elsevier, vol. 27(1), pages 1-26, January.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Hattori, Takahiro & Miyake, Hiroki, 2016. "Yield Curve for Japanese Agency Bonds: From 2002 to the Present," MPRA Paper 71487, University Library of Munich, Germany.
    2. Wali Ullah & Yasumasa Matsuda, 2014. "Generalized Nelson-Siegel Term Structure Model : Do the second slope and curvature factors improve the in-sample fit and out-of-sample forecast?," TERG Discussion Papers 312, Graduate School of Economics and Management, Tohoku University.
    3. Wali Ullah, 2020. "The arbitrage-free generalized Nelson–Siegel term structure model: Does a good in-sample fit imply better out-of-sample forecasts?," Empirical Economics, Springer, vol. 59(3), pages 1243-1284, September.
    4. Yoshiyuki Suimon & Hiroki Sakaji & Kiyoshi Izumi & Hiroyasu Matsushima, 2020. "Autoencoder-Based Three-Factor Model for the Yield Curve of Japanese Government Bonds and a Trading Strategy," JRFM, MDPI, vol. 13(4), pages 1-21, April.
    5. Kentaro Kikuchi, "undated". "A Term Structure Interest Rate Model with the Exit Time from the Negative Interest Rate Policy," Discussion Papers CRR Discussion Paper Series B: Financial 19, Shiga University, Faculty of Economics,Center for Risk Research.
    6. Hattori, Takahiro, 2018. "Decomposing Japanese municipal bond spreads: Default and liquidity premiums in times of crisis," Journal of Asian Economics, Elsevier, vol. 59(C), pages 16-28.
    7. Hattori, Takahiro & Miyake, Hiroki, 2016. "The Japan Municipal Bond Yield Curve: 2002 to the Present," MPRA Paper 69725, University Library of Munich, Germany.
    8. Hattori, Takahiro, 2023. "The premium and settlement of CCPs during the financial crisis: Evidence from the JGB market," Journal of International Money and Finance, Elsevier, vol. 132(C).
    9. Takahiro Hattori & Hiroki Miyake, 2016. "The Japan Municipal Bond Yield Curve: 2002 to the Present," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 8(6), pages 118-118, June.
    10. Mmakganya Mashoene & Mishelle Doorasamy & Rajendra Rajaram, 2021. "The application of different term-structure models to estimate South African real spot rate curve," International Journal of Finance & Banking Studies, Center for the Strategic Studies in Business and Finance, vol. 10(3), pages 21-36, July.
    11. Nagao, Ryoya & Kondo, Yoshihiro & Nakazono, Yoshiyuki, 2021. "The macroeconomic effects of monetary policy: Evidence from Japan," Journal of the Japanese and International Economies, Elsevier, vol. 61(C).
    12. Hattori, Takahiro, 2019. "J-liquidity measure: The term structure of the liquidity premium in Japan," Japan and the World Economy, Elsevier, vol. 49(C), pages 61-72.
    13. Wali ULLAH & Khadija Malik BARI, 2018. "The Term Structure of Government Bond Yields in an Emerging Market," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(3), pages 5-28, September.

    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. Emma Berenguer-Carceles & Ricardo Gimeno & Juan M. Nave, 2012. "Estimation of the Term Structure of Interest Rates: Methodology and Applications," Working Papers 12.06, Universidad Pablo de Olavide, Department of Financial Economics and Accounting (former Department of Business Administration).
    2. Rafael Barros de Rezende, 2011. "Giving Flexibility to the Nelson-Siegel Class of Term Structure Models," Brazilian Review of Finance, Brazilian Society of Finance, vol. 9(1), pages 27-49.
    3. Marcello Pericoli, 2014. "Real Term Structure and Inflation Compensation in the Euro Area," International Journal of Central Banking, International Journal of Central Banking, vol. 10(1), pages 1-42, March.
    4. Andraž, Grum, 2006. "Razvitost slovenskega trga dolžniškega kapitala in ocenitev krivulje donosnosti," MPRA Paper 4876, University Library of Munich, Germany.
    5. Faria, Adriano & Almeida, Caio, 2018. "A hybrid spline-based parametric model for the yield curve," Journal of Economic Dynamics and Control, Elsevier, vol. 86(C), pages 72-94.
    6. Lin, Bing-Huei, 1999. "Fitting the term structure of interest rates for Taiwanese government bonds," Journal of Multinational Financial Management, Elsevier, vol. 9(3-4), pages 331-352, November.
    7. James M. Steeley, 2008. "Testing Term Structure Estimation Methods: Evidence from the UK STRIPS Market," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 40(7), pages 1489-1512, October.
    8. Poletti Laurini, Márcio & Moura, Marcelo, 2010. "Constrained smoothing B-splines for the term structure of interest rates," Insurance: Mathematics and Economics, Elsevier, vol. 46(2), pages 339-350, April.
    9. Vadim Kaushanskiy & Victor Lapshin, 2016. "A nonparametric method for term structure fitting with automatic smoothing," Applied Economics, Taylor & Francis Journals, vol. 48(58), pages 5654-5666, December.
    10. Koo, B. & La Vecchia, D. & Linton, O., 2019. "Nonparametric Recovery of the Yield Curve Evolution from Cross-Section and Time Series Information," Cambridge Working Papers in Economics 1916, Faculty of Economics, University of Cambridge.
    11. Ganchev, Alexander, 2009. "Modeling the yield curve of spot interest rates under the conditions in Bulgaria," MPRA Paper 70048, University Library of Munich, Germany.
    12. Yallup, Peter J., 2012. "Models of the yield curve and the curvature of the implied forward rate function," Journal of Banking & Finance, Elsevier, vol. 36(1), pages 121-135.
    13. Hattori, Takahiro & Miyake, Hiroki, 2016. "The Japan Municipal Bond Yield Curve: 2002 to the Present," MPRA Paper 69725, University Library of Munich, Germany.
    14. Frank Skinner & Michalis Ioannides, 2004. "FRS17 and the Sterling Doubles A Corporate Yield Curve," ICMA Centre Discussion Papers in Finance icma-dp2004-08, Henley Business School, University of Reading.
    15. Oliveira, Luís & Curto, José Dias & Nunes, João Pedro, 2012. "The determinants of sovereign credit spread changes in the Euro-zone," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 22(2), pages 278-304.
    16. Koo, Bonsoo & La Vecchia, Davide & Linton, Oliver, 2021. "Estimation of a nonparametric model for bond prices from cross-section and time series information," Journal of Econometrics, Elsevier, vol. 220(2), pages 562-588.
    17. Kanjilal, Kakali, 2013. "Factors causing movements of yield curve in India," Economic Modelling, Elsevier, vol. 31(C), pages 739-751.
    18. Houweling, Patrick & Hoek, Jaap & Kleibergen, Frank, 2001. "The joint estimation of term structures and credit spreads," Journal of Empirical Finance, Elsevier, vol. 8(3), pages 297-323, July.
    19. Rainer Jankowitsch & Michaela Nettekoven, 2008. "Trading strategies based on term structure model residuals," The European Journal of Finance, Taylor & Francis Journals, vol. 14(4), pages 281-298.
    20. Tatyana Krivobokova & Göran Kauermann & Theofanis Archontakis, 2006. "Estimating the term structure of interest rates using penalized splines," Statistical Papers, Springer, vol. 47(3), pages 443-459, June.

    More about this item

    Keywords

    coupon-bearing government bond; zero coupon yield; piecewise polynomial function;
    All these keywords.

    JEL classification:

    • C13 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Estimation: General
    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • 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:ime:imedps:12-e-04. 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: Kinken (email available below). General contact details of provider: https://edirc.repec.org/data/imegvjp.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.