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The financial crisis and the changing dynamics of the yield curve

In: Threat of fiscal dominance?

Author

Listed:
  • Morten L Bech

    (Bank for International Settlements)

  • Yvan Lengwiler

    (University of Basel)

Abstract

We present evidence on the changing dynamics of the yield curve from 1998 to 2011. We identify four different phases. As expected, the financial crisis represents a period of elevated yield volatility, but it can be split into two distinct periods. The split occurs when the Federal Reserve reached the zero lower bound. This bound suppressed volatility in the short end of the yield curve while increasing volatility in the long end — despite lower overall volatility in financial markets. In line with previous studies, we find that announcements with regard to the Federal Reserve’s large scale asset purchases reduce longer term yields. We also quantify the effect of widely observed economic news, such as the non-farm payrolls and other items, on the yield curve.
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Suggested Citation

  • Morten L Bech & Yvan Lengwiler, 2012. "The financial crisis and the changing dynamics of the yield curve," BIS Papers chapters, in: Bank for International Settlements (ed.), Threat of fiscal dominance?, volume 65, pages 257-276, Bank for International Settlements.
  • Handle: RePEc:bis:bisbpc:65-15
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    References listed on IDEAS

    as
    1. Lengwiler, Yvan & Lenz, Carlos, 2010. "Intelligible factors for the yield curve," Journal of Econometrics, Elsevier, vol. 157(2), pages 481-491, August.
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    3. Nelson, Charles R & Siegel, Andrew F, 1987. "Parsimonious Modeling of Yield Curves," The Journal of Business, University of Chicago Press, vol. 60(4), pages 473-489, October.
    4. Jushan Bai & Pierre Perron, 2003. "Computation and analysis of multiple structural change models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 1-22.
    5. Bruce M. Brown & Song Xi Chen, 1999. "Beta‐Bernstein Smoothing for Regression Curves with Compact Support," Scandinavian Journal of Statistics, Danish Society for Theoretical Statistics;Finnish Statistical Society;Norwegian Statistical Association;Swedish Statistical Association, vol. 26(1), pages 47-59, March.
    6. Kristensen, Dennis, 2010. "Nonparametric Filtering Of The Realized Spot Volatility: A Kernel-Based Approach," Econometric Theory, Cambridge University Press, vol. 26(1), pages 60-93, February.
    7. Federico M. Bandi & Peter C. B. Phillips, 2003. "Fully Nonparametric Estimation of Scalar Diffusion Models," Econometrica, Econometric Society, vol. 71(1), pages 241-283, January.
    8. Michael J. Fleming & Eli M. Remolona, 1999. "Price Formation and Liquidity in the U.S. Treasury Market: The Response to Public Information," Journal of Finance, American Finance Association, vol. 54(5), pages 1901-1915, October.
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    Cited by:

    1. Azamat Abdymomunov & Kyu Ho Kang & Ki Jeong Kim, 2014. "Forecasting the Term Structure of Government Bond Yields Using Credit Spreads and Structural Breaks," Working Papers 2014-19, Economic Research Institute, Bank of Korea.
    2. Abdymomunov, Azamat & Kang, Kyu Ho & Kim, Ki Jeong, 2016. "Can credit spreads help predict a yield curve?," Journal of International Money and Finance, Elsevier, vol. 64(C), pages 39-61.
    3. Choudhry, Taufiq, 2016. "Time-varying risk premium yield spread effect in term structure and global financial crisis: Evidence from Europe," International Review of Financial Analysis, Elsevier, vol. 48(C), pages 303-311.

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    More about this item

    JEL classification:

    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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