Nonparametric estimation and testing of stochastic discount factor
Ying Fang (),
Yu Ren () and
Yufei Yuan ()
Finance Research Letters, 2011, vol. 8, issue 4, 196-205
This paper attempts to estimate stochastic discount factor (SDF) proxies nonparametrically using the conditional Hansen–Jagannathan distance. Nonparametric estimation can not only avoid misspecification when dealing with nonlinearity in the model but also provide more precise information about the local properties of the estimators. Empirical studies show that our method performs better than the alternative parametric polynomial models, and furthermore, we find that the return on aggregate wealth can sufficiently explain the SDF proxies when one deals with nonlinearity appropriately.
Keywords: Stochastic discount factor; Nonparametric estimation; HJ distance (search for similar items in EconPapers)
JEL-codes: C13 C14 C52 G12 (search for similar items in EconPapers)
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Persistent link: https://EconPapers.repec.org/RePEc:eee:finlet:v:8:y:2011:i:4:p:196-205
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