Consistent nonparametric specification tests for stochastic volatility models based on the return distribution

This paper develops nonparametric specification tests for stochastic volatility models by comparing the nonparametically estimated return density and distribution functions with their parametric counterparts. Asymptotic null distributions of the tests are derived and the tests are shown to be consis...

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Main Authors: Zu, Yang, Boswijk, Peter
Format: Article
Published: Elsevier 2017
Subjects:
Online Access:https://eprints.nottingham.ac.uk/39534/
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author Zu, Yang
Boswijk, Peter
author_facet Zu, Yang
Boswijk, Peter
author_sort Zu, Yang
building Nottingham Research Data Repository
collection Online Access
description This paper develops nonparametric specification tests for stochastic volatility models by comparing the nonparametically estimated return density and distribution functions with their parametric counterparts. Asymptotic null distributions of the tests are derived and the tests are shown to be consistent. Extensive Monte Carlo experiments are performed to study the finite sample properties of the tests. The proposed tests are applied in a number of empirical examples.
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institution University of Nottingham Malaysia Campus
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publishDate 2017
publisher Elsevier
recordtype eprints
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spelling nottingham-395342020-05-04T18:32:57Z https://eprints.nottingham.ac.uk/39534/ Consistent nonparametric specification tests for stochastic volatility models based on the return distribution Zu, Yang Boswijk, Peter This paper develops nonparametric specification tests for stochastic volatility models by comparing the nonparametically estimated return density and distribution functions with their parametric counterparts. Asymptotic null distributions of the tests are derived and the tests are shown to be consistent. Extensive Monte Carlo experiments are performed to study the finite sample properties of the tests. The proposed tests are applied in a number of empirical examples. Elsevier 2017-03-01 Article PeerReviewed Zu, Yang and Boswijk, Peter (2017) Consistent nonparametric specification tests for stochastic volatility models based on the return distribution. Journal of Empirical Finance, 41 . pp. 53-75. ISSN 1879-1727 Nonparametric test; Stochastic volatility models http://www.sciencedirect.com/science/article/pii/S092753981630161X doi:10.1016/j.jempfin.2016.12.005 doi:10.1016/j.jempfin.2016.12.005
spellingShingle Nonparametric test; Stochastic volatility models
Zu, Yang
Boswijk, Peter
Consistent nonparametric specification tests for stochastic volatility models based on the return distribution
title Consistent nonparametric specification tests for stochastic volatility models based on the return distribution
title_full Consistent nonparametric specification tests for stochastic volatility models based on the return distribution
title_fullStr Consistent nonparametric specification tests for stochastic volatility models based on the return distribution
title_full_unstemmed Consistent nonparametric specification tests for stochastic volatility models based on the return distribution
title_short Consistent nonparametric specification tests for stochastic volatility models based on the return distribution
title_sort consistent nonparametric specification tests for stochastic volatility models based on the return distribution
topic Nonparametric test; Stochastic volatility models
url https://eprints.nottingham.ac.uk/39534/
https://eprints.nottingham.ac.uk/39534/
https://eprints.nottingham.ac.uk/39534/