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The Shape of the Risk Premium: Evidence from a Semiparametric GARCH Model

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Author Info
Benoit Perron
Oliver Linton ()

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Abstract

We examine the relationship between the risk premium on the S&P500 index total return and its conditional variance. We propose a new semiparametric model in which the conditional variance process is parametric, while the conditional mean is an arbitrary function of the conditional variance. For monthly S&P 500 excess returns, the relationship between the two moments that we uncover is nonlinear and nonmonotonic. Moreover, we find considerable persistence in the conditional variance as well as a leverage effect as documented by others.

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Paper provided by Financial Markets Group in its series FMG Discussion Papers with number dp514.

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Date of creation: Sep 2004
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Handle: RePEc:fmg:fmgdps:dp514

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  1. Bent Jesper Christensen & Christian M. Dahl & Emma M. Iglesias, 2008. "Semiparametric Inference in a GARCH-in-Mean Model," CREATES Research Papers 2008-46, School of Economics and Management, University of Aarhus. [Downloadable!]
  2. Anisha Ghosh & Oliver Linton, 2009. "Consistent estimation of the risk-return tradeoff in the presence of measurement error," Economics Working Papers we094928, Universidad Carlos III, Departamento de Economía. [Downloadable!]
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