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Correcting Estimation Bias in Dynamic Term Structure Models

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  • Michael D. Bauer
  • Glenn D. Rudebusch
  • Jing Cynthia Wu
Abstract
The affine dynamic term structure model (DTSM) is the canonical empirical finance representation of the yield curve. However, the possibility that DTSM estimates may be distorted by small-sample bias has been largely ignored. We show that conventional estimates of DTSM coefficients are indeed severely biased, and this bias results in misleading estimates of expected future short-term interest rates and of long-maturity term premia. We provide a variety of bias-corrected estimates of affine DTSMs, for both maximally flexible and overidentified specifications. Our estimates imply interest rate expectations and term premia that are more plausible from a macrofinance perspective. This article has supplementary material online.

Suggested Citation

  • Michael D. Bauer & Glenn D. Rudebusch & Jing Cynthia Wu, 2012. "Correcting Estimation Bias in Dynamic Term Structure Models," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 30(3), pages 454-467, April.
    • Handle: RePEc:taf:jnlbes:v:30:y:2012:i:3:p:454-467
    DOI: 10.1080/07350015.2012.693855
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