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New evidence of the expectation hypothesis of interest rates: a flexible nonlinear approach

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  • Medhi Mili
  • Jean-Michel Sahut
  • Fred�ric Teulon

Abstract

Conventional approaches to examining the Expectation Hypothesis (EH) assume a parametric linear specification among variables. In contrast, this article tests the hypothesis using a flexible nonlinear inference approach proposed by Hamilton (2001). We examine the impact of the nonlinearity of interest rates to explain the variability of risk premia on market rates. It is assumed that the term structure of interest rates can be identified by two factors, the risk-free rate and its volatility. The results of the linearity test against nonlinear alternatives suggest that there is clear evidence of nonlinearity. Our empirical application shows that correctly accounting for the nonlinearity of the term structure of interest rates may explain the variability of risk premia and the specific characteristics of interest rate dynamics on the US market.

Suggested Citation

  • Medhi Mili & Jean-Michel Sahut & Fred�ric Teulon, 2012. "New evidence of the expectation hypothesis of interest rates: a flexible nonlinear approach," Applied Financial Economics, Taylor & Francis Journals, vol. 22(2), pages 165-176, January.
  • Handle: RePEc:taf:apfiec:v:22:y:2012:i:2:p:165-176
    DOI: 10.1080/09603107.2011.607127
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    1. Araç, Ayşen & Yalta, A. Yasemin, 2015. "Testing the expectations hypothesis for the Eurozone: A nonlinear cointegration analysis," Finance Research Letters, Elsevier, vol. 15(C), pages 41-48.
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    3. Vides, José Carlos & Golpe, Antonio A. & Iglesias, Jesús, 2021. "The impact of the term spread in US monetary policy from 1870 to 2013," Journal of Policy Modeling, Elsevier, vol. 43(1), pages 230-251.
    4. Vides, José Carlos & Golpe, Antonio A. & Iglesias, Jesús, 2020. "The EHTS and the persistence in the spread reconsidered. A fractional cointegration approach," International Review of Economics & Finance, Elsevier, vol. 69(C), pages 124-137.

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