The Bickel–Rosenblatt test for continuous time stochastic volatility models

Liang-Ching Lin (), Sangyeol Lee () and Meihui Guo ()

TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, 2014, vol. 23, issue 1, 195-218

Abstract: In this paper, we consider the Bickel–Rosenblatt test for continuous time stochastic volatility models. The test is constructed based on discretely observed samples by measuring integrated squared deviations between the nonparametric kernel density estimate from the observations and a parametric fit of the density. It is shown that under the null, the proposed test is asymptotically normal. To evaluate the proposed test, a simulation study is performed for illustration. Copyright Sociedad de Estadística e Investigación Operativa 2014

Keywords: Bickel–Rosenblatt test; Goodness-of-fit; Stochastic volatility models; 60M02 (search for similar items in EconPapers)
Date: 2014
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DOI: 10.1007/s11749-013-0347-1

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