Empirical Pricing Kernels: Evidence from the Hong Kong Stock Market
Xinyu Wu (),
Senchun Ren () and
Hailin Zhou ()
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Xinyu Wu: School of Finance, Anhui University of Finance and Economics, China
Senchun Ren: School of Finance, Anhui University of Finance and Economics, China
Hailin Zhou: School of Finance, Anhui University of Finance and Economics, China
ECONOMIC COMPUTATION AND ECONOMIC CYBERNETICS STUDIES AND RESEARCH, 2017, vol. 51, issue 4, 263-278
In this paper, we investigate the empirical pricing kernels for the Hong Kong stock market. We deal with semiparametric estimation of the empirical pricing kernel as the ratio of the objective and risk-neutral densities, under a consistent parametric framework of the non-affine GARCH diffusion model. An efficient importance sampling (EIS)-based joint maximum likelihood estimation method is developed for the objective and risk-neutral densities, using the Hang Seng Index (HSI) and index warrants data. Empirical results show that there exists a reference point and around this reference point the empirical pricing kernel exhibits a hump. The market utility function does not correspond to standard specification of utility function in the classical expected utility theory, but exhibits a convex form below the reference point and a concave form above it, and the investors act risk seeking around the reference point.
Keywords: pricing kernel; utility function; risk aversion; GARCH diffusion model; maximum likelihood estimation. (search for similar items in EconPapers)
JEL-codes: C13 C32 C58 G13 (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:cys:ecocyb:v:50:y:2017:i:4:p:263-278
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