Goodness-of-fit test for stochastic volatility models

Liang Ching Lin, Sangyeol Lee, Meihui Guo

研究成果: Article同行評審

8 引文 斯高帕斯(Scopus)


In this paper, we propose a goodness of fit test for continuous time stochastic volatility models based on discretely sampled observations. The proposed test is constructed by measuring deviations between the empirical and true characteristic functions obtained from the hypothesized stochastic volatility model. In this study, both the test statistics based on the fixed and decreasing sampling schemes are taken into consideration. It is shown that under the null, the proposed tests asymptotically follow a weighted sum of products of centered normal random variables. In order to evaluate the proposed tests, a simulation study is performed, in which a bootstrap method is also considered. Finally, a real data analysis is conducted for illustration.

頁(從 - 到)473-498
期刊Journal of Multivariate Analysis
出版狀態Published - 2013 4月

All Science Journal Classification (ASJC) codes

  • 統計與概率
  • 數值分析
  • 統計、概率和不確定性


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