中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
mestimationforperiodicgarchmodelwithhighfrequencydata

文献类型:期刊论文

作者Fan Pengying1; Wu Sixin2; Zhao Zilong2; Chen Min2
刊名actamathematicaeapplicataesinicaenglishseries
出版日期2017
卷号33期号:3页码:717
ISSN号0168-9673
英文摘要Abstract This paper studies an M-estimator of a proxy periodic GARCH ( p , q ) scaling model and establishes its consistency and asymptotic normality. Simulation studies are carried out to assess the performance of the estimator. The numerical results show that our M-estimator is more efficient and robust than other estimators without the use of high-frequency data.
语种英语
源URL[http://ir.amss.ac.cn/handle/2S8OKBNM/36426]  
专题应用数学研究所
作者单位1.北京工商大学
2.中国科学院数学与系统科学研究院
推荐引用方式
GB/T 7714
Fan Pengying,Wu Sixin,Zhao Zilong,et al. mestimationforperiodicgarchmodelwithhighfrequencydata[J]. actamathematicaeapplicataesinicaenglishseries,2017,33(3):717.
APA Fan Pengying,Wu Sixin,Zhao Zilong,&Chen Min.(2017).mestimationforperiodicgarchmodelwithhighfrequencydata.actamathematicaeapplicataesinicaenglishseries,33(3),717.
MLA Fan Pengying,et al."mestimationforperiodicgarchmodelwithhighfrequencydata".actamathematicaeapplicataesinicaenglishseries 33.3(2017):717.

入库方式: OAI收割

来源:数学与系统科学研究院

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