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Deconstructing the yield curve

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Abstract

We introduce a novel nonparametric bootstrap for the nominal yield curve which is agnostic to the true factor structure. We deconstruct the yield curve into primitive objects, with weak cross-sectional and time-series dependence, which serve as building blocks for resampling the data. We analyze the asymptotic and finite-sample properties of the bootstrap for mimicking salient features of the data and conducting inference on bond return predictability. We demonstrate the applicability of our results to: the “tent shape” in forward rates, regression tests of the expectations hypothesis, the role of trend inflation in expected bond returns, and yield-based forecasts of recessions.

Suggested Citation

  • Richard K. Crump & Nikolay Gospodinov, 2019. "Deconstructing the yield curve," Staff Reports 884, Federal Reserve Bank of New York.
    • Handle: RePEc:fip:fednsr:884
    Note: Revised August 2023.
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    References listed on IDEAS

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    1. Min Wei & Jonathan H. Wright, 2013. "Reverse Regressions And Long‐Horizon Forecasting," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 28(3), pages 353-371, April.
    2. Greg Duffee, 2011. "Forecasting with the term structure: The role of no-arbitrage restrictions," Economics Working Paper Archive 576, The Johns Hopkins University,Department of Economics.
    3. Tobias Adrian & Richard K. Crump & Erik Vogt, 2019. "Nonlinearity and Flight‐to‐Safety in the Risk‐Return Trade‐Off for Stocks and Bonds," Journal of Finance, American Finance Association, vol. 74(4), pages 1931-1973, August.
    4. van Binsbergen, Jules & Hueskes, Wouter & Koijen, Ralph & Vrugt, Evert, 2013. "Equity yields," Journal of Financial Economics, Elsevier, vol. 110(3), pages 503-519.
      • Jules H. van Binsbergen & Wouter Hueskes & Ralph Koijen & Evert B. Vrugt, 2011. "Equity Yields," NBER Working Papers 17416, National Bureau of Economic Research, Inc.
    5. Hanno Lustig & Nikolai Roussanov & Adrien Verdelhan, 2011. "Common Risk Factors in Currency Markets," The Review of Financial Studies, Society for Financial Studies, vol. 24(11), pages 3731-3777.
    6. Jonathan H. Wright, 2011. "Term Premia and Inflation Uncertainty: Empirical Evidence from an International Panel Dataset," American Economic Review, American Economic Association, vol. 101(4), pages 1514-1534, June.
    7. He, Zhiguo & Kelly, Bryan & Manela, Asaf, 2017. "Intermediary asset pricing: New evidence from many asset classes," Journal of Financial Economics, Elsevier, vol. 126(1), pages 1-35.
    8. Stefano Giglio & Bryan Kelly, 2018. "Excess Volatility: Beyond Discount Rates," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 133(1), pages 71-127.
    9. Hodrick, Robert J, 1992. "Dividend Yields and Expected Stock Returns: Alternative Procedures for Inference and Measurement," The Review of Financial Studies, Society for Financial Studies, vol. 5(3), pages 357-386.
    10. Gregory R. Duffee, 2002. "Term Premia and Interest Rate Forecasts in Affine Models," Journal of Finance, American Finance Association, vol. 57(1), pages 405-443, February.
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    Cited by:

    1. Moench, Emanuel & Soofi-Siavash, Soroosh, 2022. "What moves treasury yields?," Journal of Financial Economics, Elsevier, vol. 146(3), pages 1016-1043.

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    More about this item

    Keywords

    term structure of interest rates; resampling-based inference; factor models; bond risk premiums; predictive regression of bond returns;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C58 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Financial Econometrics
    • G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates

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