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Forecasting the 10‐year US treasury rate

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  • Hamid Baghestani

Abstract

This study compares the performance of two forecasting models of the 10-year Treasury rate: a random walk (RW) model and an augmented‐autoregressive (A‐A) model which utilizes the information in the expected inflation rate. For 1993–2008, the RW and A‐A forecasts (with different lead times and forecast horizons) are generally unbiased and accurately predict directional change under symmetric loss. However, the A‐A forecasts outperform the RW, suggesting that the expected inflation rate (as a leading indicator) helps improve forecast accuracy. This finding is important since bond market efficiency implies that the RW forecasts are optimal and cannot be improved. Copyright (C) 2009 John Wiley & Sons, Ltd.

Suggested Citation

  • Hamid Baghestani, 2010. "Forecasting the 10‐year US treasury rate," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 29(8), pages 673-688, December.
  • Handle: RePEc:jof:jforec:v:29:y:2010:i:8:p:673-688
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    File URL: http://hdl.handle.net/10.1002/for.1165
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    Cited by:

    1. Chai, Jian & Zhang, Zhong-Yu & Wang, Shou-Yang & Lai, Kin Keung & Liu, John, 2014. "Aviation fuel demand development in China," Energy Economics, Elsevier, vol. 46(C), pages 224-235.
    2. Hamid Baghestani, 2022. "Mortgage rate predictability and consumer home-buying assessments," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 46(3), pages 593-603, July.

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