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


  • Kentaro Kikuchi

    (Bank of Japan)

  • Kohei Shintani

    (Bank of Japan)


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. 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 that meets these criteria enables us to estimate the zero curve with a good fit to 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 most appropriate 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.

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  • Kentaro Kikuchi & Kohei Shintani, 2012. "Comparative Analysis of Zero Coupon Yield Curve Estimation Methods Using JGB Price Data," Monetary and Economic Studies, Institute for Monetary and Economic Studies, Bank of Japan, vol. 30, pages 75-122, November.
  • Handle: RePEc:ime:imemes:v:30:y:2012:p:75-122

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    Cited by:

    1. 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.


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