Semimaringales;
Power variation;
Testing the diffusion;
Purely discontinuous;
Asymptotic normality;
60G44;
60G42;
D O I:
暂无
中图分类号:
学科分类号:
摘要:
Using pth power variation, we propose a nonparametric method to test whether a continuous diffusion is present in a semimartingale. Under the discrete observation of high frequency data, the test statistic converges to a known constant if a diffusion is present, otherwise ittendsto another number. The test procedure is valid for all Itô semimartingales and does not depend on the law of a process or the coefficients of a semimartingale. We also implement the test on simulation and real asset return data.
机构:
Hong Kong Univ Sci & Technol, Dept Math, Kowloon, Hong Kong, Peoples R ChinaHong Kong Univ Sci & Technol, Dept Math, Kowloon, Hong Kong, Peoples R China
Jing, Bing-Yi
Liu, Zhi
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机构:
Hong Kong Univ Sci & Technol, Dept Math, Kowloon, Hong Kong, Peoples R ChinaHong Kong Univ Sci & Technol, Dept Math, Kowloon, Hong Kong, Peoples R China
Liu, Zhi
Kong, Xin-Bing
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机构:
Hong Kong Univ Sci & Technol, Dept Math, Kowloon, Hong Kong, Peoples R ChinaHong Kong Univ Sci & Technol, Dept Math, Kowloon, Hong Kong, Peoples R China
机构:
Department of Statistics, Nanjing Audit University
School of Mathematical Sciences, Zhejiang UniversityDepartment of Statistics, Nanjing Audit University
LIU Guang-ying
ZHANG Xin-sheng
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机构:
Department of Statistics, Fudan UniversityDepartment of Statistics, Nanjing Audit University
ZHANG Xin-sheng
ZHANG Shi-bin
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机构:
Department of Mathematics, Shanghai Maritime UniversityDepartment of Statistics, Nanjing Audit University