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A Three-Factor Yield Curve Model: Non-Affine Structure, Systematic Risk Sources, and Generalized Duration

Author

Listed:
  • Francis X. Diebold

    (Department of Economics, University of Pennsylvania)

  • Lei Ji

    (Department of Economics, University of Pennsylvania)

  • Canlin Li

    (Graduate School of Management, University of California)

Abstract

We assess and apply the term-structure model introduced by Nelson and Siegel (1987) and re-interpreted by Diebold and Li (2003) as a modern three-factor model of level, slope and curvature. First, we ask whether the model is a member of the affine class, and we find that it is not. Hence the poor forecasting performance recently documented for affine term structure models in no way implies that our model will forecast poorly, which is consistent with Diebold and Li's (2003) finding that it indeed forecasts quite well. Next, having clarified the relationship between our three-factor model and the affine class, we proceed to assess its adequacy directly, by testing whether its level, slope and curvature factors do indeed capture systematic risk. We find that they do, and that they are therefore priced. Finally, confident in the ability of our three-factor model to capture the pricing relations present in the data, we proceed to explore its efficacy in bond portfolio risk management. Traditional Macaulay duration is appropriate only in a one-factor (level) context; hence we move to a three-factor generalized duration, and we show the superior performance of hedges constructed using it.

Suggested Citation

  • Francis X. Diebold & Lei Ji & Canlin Li, 2006. "A Three-Factor Yield Curve Model: Non-Affine Structure, Systematic Risk Sources, and Generalized Duration," PIER Working Paper Archive 06-017, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
  • Handle: RePEc:pen:papers:06-017
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    References listed on IDEAS

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    Cited by:

    1. Coroneo, Laura & Nyholm, Ken & Vidova-Koleva, Rositsa, 2011. "How arbitrage-free is the Nelson-Siegel model?," Journal of Empirical Finance, Elsevier, vol. 18(3), pages 393-407, June.
    2. Marc-Gregor Czaja & Hendrik Scholz & Marco Wilkens, 2009. "Interest rate risk of German financial institutions: the impact of level, slope, and curvature of the term structure," Review of Quantitative Finance and Accounting, Springer, vol. 33(1), pages 1-26, July.
    3. Leo Krippner, 2009. "A theoretical foundation for the Nelson and Siegel class of yield curve models," Reserve Bank of New Zealand Discussion Paper Series DP2009/10, Reserve Bank of New Zealand.
    4. Leo Krippner, 2008. "A Macroeconomic Foundation for the Nelson and Siegel Class of Yield Curve Models," Research Paper Series 226, Quantitative Finance Research Centre, University of Technology, Sydney.
    5. Ibanez, Francisco, 2015. "Calibrating the Dynamic Nelson-Siegel Model: A Practitioner Approach," MPRA Paper 68377, University Library of Munich, Germany.
    6. Md Akhtaruzzaman & Paul Docherty & Abul Shamsuddin, 2014. "Interest rate, size and book-to-market effects in Australian financial firms," Applied Economics, Taylor & Francis Journals, vol. 46(25), pages 3005-3020, September.
    7. Boril Šopov & Jakub Seidler, 2011. "Yield Curve Dynamics: Regional Common Factor Model," Prague Economic Papers, Prague University of Economics and Business, vol. 2011(2), pages 140-156.
    8. Md. Akhtaruzzaman & Abul Shamsuddin, 2017. "Australian financial firms’ exposures to the level, slope, and curvature of the interest rate term structure," Applied Economics, Taylor & Francis Journals, vol. 49(19), pages 1855-1874, April.
    9. Cláudia Simões & Luís Oliveira & Jorge M. Bravo, 2021. "Immunization Strategies for Funding Multiple Inflation-Linked Retirement Income Benefits," Risks, MDPI, vol. 9(4), pages 1-28, March.
    10. Baek, Seungho & Bilson, John F.O., 2015. "Size and value risk in financial firms," Journal of Banking & Finance, Elsevier, vol. 55(C), pages 295-326.
    11. Gimeno, Ricardo & Nave, Juan M., 2009. "A genetic algorithm estimation of the term structure of interest rates," Computational Statistics & Data Analysis, Elsevier, vol. 53(6), pages 2236-2250, April.
    12. Francisco Ibáñez, 2016. "Calibrating the Dynamic Nelson-Siegel Model: A Practitioner Approach," Working Papers Central Bank of Chile 774, Central Bank of Chile.
    13. Sanjay Singh & Neeraj Hatekar, 2018. "Macroeconomic shocks and evolution of term structure of interest rate: A dynamic latent factor approach," Indian Economic Review, Springer, vol. 53(1), pages 245-262, December.
    14. Scott Mixon & Tugkan Tuzun, 2018. "Price Pressure and Price Discovery in the Term Structure of Interest Rates," Finance and Economics Discussion Series 2018-065, Board of Governors of the Federal Reserve System (U.S.).

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    More about this item

    Keywords

    Term structure; Yield curve; Factor model; Risk Management;
    All these keywords.

    JEL classification:

    • G1 - Financial Economics - - General Financial Markets
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications
    • C5 - Mathematical and Quantitative Methods - - Econometric Modeling

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