A Flexible Non Linear Model to Test the Expectation Hypothesis of Interest Rates
University of Applied Sciences - Geneva School of Business Administration; University of Poitiers
University of Sousse - Institut Supérieur de Gestion (ISG), Tunis
February 5, 2011
Economics Bulletin, Forthcoming
Conventional approaches to examining the expectation hypothesis of interest rates assume a parametric linear specification among variables. In contrast, this paper 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 study 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 U.S. market.
Number of Pages in PDF File: 15
Keywords: Term structure of interest rates, Non linearity, expectation hypothesis, flexible models.
JEL Classification: E43, C22, G10.Accepted Paper Series
Date posted: February 7, 2011
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