Skip to main content

Abstract

Due to their status as the most important benchmark yield for the world’s largest government bond market and its importance for US monetary policy, the interest in an accurate forecast of the constant maturity yields of 10-year US Treasury notes (T-note yields) is immense.2 Hence, it does not surprise that a large body of literature is devoted to forecasting T-note yields.3 The existing empirical literature approaches the problem of bond yield determination via

  1. 1.

    exploring fundamental factors;

  2. 2.

    high-frequency data;

  3. 3.

    international transmission of shocks with respect to bond markets;

  4. 4.

    combinations of bond modeling strategies from a finance and macro perspective.4

However, if a random walk process describes bond yields accurately, then much of the efforts devoted to forecasting stock returns and bond yields are of questionable value.5 Yet, the literature (see Aburachis and Kish 1999) shows that bonds yields do not follow a pure random walk. Theoretical and empirical evidence exists — at least for the long term — for the dependence of interest rates on fundamental factors (see Warnock and Warnock 2005; Hoffmann and MacDonald 2006).

The views expressed here are those of the authors and do not necessarily reflect the opinion of LBBW Stuttgart.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 54.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Aburachis, A. T. and Kish, R. (1999) “International Evidence on the Comovements between Bond Yields and Stock Returns, 1984–1994,” Journal of Financial and Strategic Decisions, 12(2): 67–81.

    Google Scholar 

  • Bernadell, C., Coche, J., and Nyholm, K. (2005) “Yield Curve Prediction for the Strategic Investor,” ECB Working Paper Series No. 472, April.

    Google Scholar 

  • Bernanke, B. S. (2006) “The Benefits of Price Stability,” speech at the Center for Economic Policy Studies and on the occasion of the Seventy-Fifth Anniversary of the Woodrow Wilson School of Public and International Affairs, Princeton University, Princeton, NJ. Available online at http://www.federalreserve.gov/boarddocs/speeches/2006/200602242/default.htm (accessed June 4, 2010).

    Google Scholar 

  • Bordo, M. D. and Dewald, W. G. (2001) “Bond Market Inflation Expectations in Industrial Countries: Historical Comparisons,” NBER Working Paper No. 8582, November.

    Book  Google Scholar 

  • Brooks, C. (2002) Introductory Econometrics for Finance, Cambridge: Cambridge University Press.

    Google Scholar 

  • Campbell, J. E. (1995) “Some Lessons from the Yield Curve,” Journal of Economic Perspectives, 9(3): 129–152.

    Article  Google Scholar 

  • Clostermann, J. and Seitz, F. (2005) “Are Bond Markets Really Overpriced: The Case of the US,” Fachhochschule Ingolstadt Working Paper No. 11, December.

    Google Scholar 

  • Dickey, D. A. and Fuller, W. A. (1979) “Distribution of Estimators for Autoregressive Tine Series with Unit Root,” Journal of the American Statistical Association, 74(366): 427–431.

    Article  Google Scholar 

  • Diebold, F. X. and Li, C. (2006) “Forecasting the Term Structure of Government Bond Yields,” Journal of Econometrics, 130(2): 337–364.

    Article  Google Scholar 

  • Diebold, F. X., Piazzesi, M., and Rudebusch, G. D. (2005) “Modeling Bond Yields in Finance and Macroeconomics,” American Economic Review, 95(2): 415–420.

    Article  Google Scholar 

  • Duffee, G. R. (2002) “Term Premia and Interest Rate Forecasts in Affine Models,” Journal of Finance, 57(1): 405–443.

    Article  Google Scholar 

  • Fan, J. (2005) “A Selective Overview of Nonparametric Methods in Financial Econometrics” Statistical Science, 20(4): 317–337.

    Article  Google Scholar 

  • Fleming, M. J. (2000) “The Benchmark US Treasury Market: Recent Performance and Possible Alternatives,” FRBNY Economic Policy Review, April (4): 129–145.

    Google Scholar 

  • Fleming, M. J. and Remolona, M. (1997) “What Moves the Bond Market?” Federal Reserve Bank of New York Economic Policy Review, 3 (4): 31–50.

    Google Scholar 

  • Franses, P. H. (1998) Time Series Models for Business and Economic Forecasting, Cambridge: Cambridge University Press.

    Google Scholar 

  • Goodfriend, M. (1993) “Interest Rate Policy and the Inflation Scare Problem: 1979–1992,” Federal Reserve Bank of Richmond, Economic Quarterly, 1: 1–24.

    Google Scholar 

  • Greenspan, A. (2005) “Testimony before the Committee on Financial Services,” US House of Representatives, Federal Reserve Board’s Semiannual Monetary Policy Report to the Congress, July 20. Available online at http://www.federalreserve.gov/boarddocs/hh/2005/july/testimony.htm (accessed October 7, 2010).

    Google Scholar 

  • Guidolin, M. (2005) “Is the Bond Market Irrational?” Federal Reserve Bank of St. Louis Monetary Trends, July, p. 1.

    Google Scholar 

  • Harvey, A. C. (1989) Forecasting, Structural Time Series Models and the Calman Filter, Cambridge: Cambridge University Press.

    Google Scholar 

  • Mathias Hoffmann (2009) “Ronald MacDonald, Real exchange rates and real interest rate differentials: A present value interpretation,” European Economic Review, 53(8): 952–970.

    Article  Google Scholar 

  • Hamilton, J. (1994) Time Series Analysis, Princeton, NJ: Princeton University Press.

    Google Scholar 

  • Ilmanen, A. (1997) “Forecasting US Bond Returns,” Journal of Fixed Income, 7(1): 22–37.

    Article  Google Scholar 

  • Kliesen, K. L. (2005) “Battle at Bond Bluff: Forecasters vs. Financial Markets,” Federal Reserve Bank of St. Louis, National Economic Trends, June (1).

    Google Scholar 

  • Krozner, R. S. (2006) “Why Are Yield Curves So Flat and Long Rates So Low Globally?” Speech at the Bankers’ Association for Finance and Trade, New York, June 15. Available online at http://www.federalreserve.gov/boarddocs/speeches/2006/20060615/default.htm (accessed October 7, 2010).

    Google Scholar 

  • Meltzer, A. H. (2005) “From Inflation to More Inflation, Disinflation and Low Inflation,” Keynote Address, Conference on Price Stability Federal Reserve Bank of Chicago, Thursday, November 3, 2005. Available online at http://www.gsia.cmu.edu/afs/andrew/gsia/meltzer (accessed October 7, 2010).

    Google Scholar 

  • Nelson, E. (2004) “The Great Inflation of the Seventies: What Really Happened?” Working Paper, No. 2004–001, Federal Reserve Bank of St. Louis, January.

    Google Scholar 

  • Poole, W. (2002) “Fed Policy to the Bond Yield,” Speech to the Midwest Region of the National Association of State Treasurers, Missouri History Museum, St. Louis, July 12.

    Google Scholar 

  • Priesley, M. B. (1988) Non-Linear and Non-Stationary Time Series Analysis, London: Academic Press.

    Google Scholar 

  • Rudebusch, G. D., Swanson, E. T., and Wu, T. (2006) “The Bond Yield ‘Conundrum’ from a Macro-Finance Perspective,” Working Papers Series No. 2006–16, Federal Reserve Bank of San Francisco, May.

    Google Scholar 

  • Schlittgen, R. and Streitberg, H. J. (1997) Zeitreihenanalyse. 7. Aufl., Oldenbourg, Munich: Oldenbourg.

    Google Scholar 

  • Theil, H. (1971) Principles in Econometrics, New York: John Wiley & Sons.

    Google Scholar 

  • Tong, H. and Lim, K. S. (1980) “Threshold Autoregression, Limit Cycles and Cyclical Data,” Journal of the Royal Statistical Society, Series B, 42: 245–292.

    Google Scholar 

  • Warnock, F. E. and Warnock, V. C. (2005) “International Capital Flows and US Interest Rates,” Board of Governors of the Federal Reserve System, International Finance Discussion Papers, No. 840, September.

    Google Scholar 

  • Weißbach, R. (2006) “A General Kernel Functional Estimator with General Bandwidth: Strong Consistency and Applications,” Journal of Nonparametric Statistics, 18(1): 1–12.

    Article  Google Scholar 

  • Wheelock, D. C. (2005) “Has the Bond Market Forgotten Oil?” Federal Reserve Bank of St. Louis Monetary Trends, May, p. 1.

    Google Scholar 

  • Wu, T. (2005) “The Long-Term Interest Rate Conundrum: Not Unraveled Yet?” FRBSF Economic Letter, No. 8, April 29.

    Google Scholar 

  • Zeileis, A., Leisch, F., Kleiber, C., and Hornik, K (2005) “Monitoring Structural Change in Dynamic Econometric Models,” Journal of Applied Econometrics, 20(1): 99–121.

    Article  Google Scholar 

Download references

Authors

Editor information

Editors and Affiliations

Copyright information

© 2011 Rafael Weiβbach, Wladyslaw Poniatowski, and Guido Zimmermann

About this chapter

Cite this chapter

Weiβbach, R., Poniatowski, W., Zimmermann, G. (2011). The Yield of Constant Maturity 10-Year US Treasury Notes. In: Gregoriou, G.N., Pascalau, R. (eds) Nonlinear Financial Econometrics: Forecasting Models, Computational and Bayesian Models. Palgrave Macmillan, London. https://doi.org/10.1057/9780230295223_1

Download citation

Publish with us

Policies and ethics