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Zero-Coupon Yields and the Cross-Section of Bond Prices
[Pricing the term structure with linear regressions]

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  • N Aaron Pancost

Abstract

I estimate a dynamic term structure model on an unbalanced panel of Treasury coupon bonds, without relying on an interpolated zero-coupon yield curve. A linearity-generating model, which separates the parameters that govern the cross-sectional and time-series moments of the model, takes about 8 min to estimate on a sample of over 1 million bond prices. The traditional exponential affine model takes about 2 hr, because of a convexity term in coupon-bond prices that cannot be concentrated out of the cross-sectional likelihood. I quantify the on-the-run premium and a “notes versus bonds” premium from 1990 to 2017 in a single, easy-to-estimate no-arbitrage model. (JEL G12, G14, C33)Received: April 30, 2018; editorial decision November 3, 2020 by Editor Nikolai Roussanov

Suggested Citation

  • N Aaron Pancost, 2021. "Zero-Coupon Yields and the Cross-Section of Bond Prices [Pricing the term structure with linear regressions]," The Review of Asset Pricing Studies, Society for Financial Studies, vol. 11(2), pages 209-268.
    • Handle: RePEc:oup:rasset:v:11:y:2021:i:2:p:209-268.
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    File URL: http://hdl.handle.net/10.1093/rapstu/raab002
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    Citations

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    Cited by:

    1. Stefania D’Amico & N Aaron Pancost, 2022. "Special Repo Rates and the Cross-Section of Bond Prices: The Role of the Special Collateral Risk Premium [Pr icing the term structure with linear regressions]," Review of Finance, European Finance Association, vol. 26(1), pages 117-162.

    More about this item

    JEL classification:

    • G12 - Financial Economics - - General Financial Markets - - - Asset Pricing; Trading Volume; Bond Interest Rates
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models

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