The Shape of the Risk Premium: Evidence from a Semiparametric GARCH Model
AbstractWe 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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Bibliographic InfoPaper provided by Financial Markets Group in its series FMG Discussion Papers with number dp514.
Date of creation: Sep 2004
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Other versions of this item:
- LINTON, Olivier & PERRON, Benoît, 1999. "The Shape of the Risk Premium: Evidence from a Semiparametric Garch Model," Cahiers de recherche 9911, Universite de Montreal, Departement de sciences economiques.
- C20 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - General
- G24 - Financial Economics - - Financial Institutions and Services - - - Investment Banking; Venture Capital; Brokerage
- G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
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