Goodness-of-fit test for the SVM based on noisy observations

Liang Ching Lin, Sangyeol Lee, Meihui Guo

研究成果: Article同行評審

2 引文 斯高帕斯(Scopus)

摘要

In financial high frequency data analysis, the efficient price of an asset is commonly assumed to follow a continuous-time stochastic volatility model, contaminated with a microstructure noise. In this study, we consider a goodness-of-fit test problem for the efficient price models based on discretely observed samples and employ a goodness-of-fit test based on the empirical characteristic function. We show that the proposed test is asymptotically a weighted sum of products of centered normal random variables. To evaluate the proposed test, we conducted a simulation study using a bootstrap method. A data analysis is provided for illustration.

原文English
頁(從 - 到)1305-1329
頁數25
期刊Statistica Sinica
26
發行號3
DOIs
出版狀態Published - 2016 七月

All Science Journal Classification (ASJC) codes

  • 統計與概率
  • 統計、概率和不確定性

指紋

深入研究「Goodness-of-fit test for the SVM based on noisy observations」主題。共同形成了獨特的指紋。

引用此