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Central limit theorems for power variation of Gaussian integral processes with jumps

Central limit theorems for power variation of Gaussian integral processes with jumps
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摘要 This paper presents limit theorems for realized power variation of processes of the form Xt=t0φsdGs+ξt as the sampling frequency within a fixed interval increases to infinity.Here G is a Gaussian process with stationary increments,ξis a purely non-Gaussian L′evy process independent from G,andφis a stochastic process ensuring that the integral is well defined as a pathwise Riemann-Stieltjes integral.We obtain the central limit theorems for the case that both the continuous term and the jump term are presented simultaneously in the law of large numbers. This paper presents limit theorems for realized power variation of processes of the form Xt = t0φsdGs + ξt as the sampling frequency within a fixed interval increases to infinity. Here G is a Gaussian process with stationary increments, ξ is a purely non-Gaussian L′evy process independent from G, and φ is a stochastic process ensuring that the integral is well defined as a pathwise Riemann-Stieltjes integral. We obtain the central limit theorems for the case that both the continuous term and the jump term are presented simultaneously in the law of large numbers.
出处 《Science China Mathematics》 SCIE 2014年第8期1671-1685,共15页 中国科学:数学(英文版)
基金 supported by National Natural Science Foundation of China(Grant Nos.11071045 and 11226201) Natural Science Foundation of Jiangsu Province of China(Grant No.BK20131340) Social Science Foundation of Chinese Ministry of Education(Grant No.12YJCZH128) QingLan Project ofthe Priority Academic Program Development of Jiangsu Higher Education Institutions(Auditing Science and Technology)
关键词 realized power variation long memory jump process central limit theorem high frequency 极限定理 功率变化 积分过程 高斯过程 Stieltjes积分 跳跃 中央 采样频率
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参考文献36

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