Estimation of integrated quadratic covariation with endogenous sampling times
Estimation of integrated quadratic covariation with endogenous sampling times
复制标题
内源采样时间积分二次协变的估计
DOI:
10.1016/j.jeconom.2016.10.004
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发表时间:
2017
影响因子:
6.3
通讯作者:
Mykland, Per A.
中科院分区:
文献类型:
--
作者:
Potiron, Yoann;Mykland, Per A.
When estimating high-frequency covariance (quadratic covariation) of two arbitrary assets observed asynchronously, simple assumptions, such as independence, are usually imposed on the relationship between the prices process and the observation times. In this paper, we introduce a general endogenous two-dimensional nonparametric model. Because an observation is generated whenever an auxiliary process calledobservation time processhits one of the two boundary processes, it is called thehitting boundary process with time process(HBT) model. We establish a central limit theorem for the Hayashi–Yoshida (HY) estimator under HBT in the case where the price process and the observation price process follow a continuous Itô process. We obtain an asymptotic bias. We provide an estimator of the latter as well as a bias-corrected HY estimator of the high-frequency covariance. In addition, we give a consistent estimator of the associated standard error.
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DOI:
10.1007/s10463-007-0138-0
发表时间:
2008-06-01
影响因子:
1
作者:
Hayashi, Takaki;Yoshida, Nakahiro
通讯作者:
Yoshida, Nakahiro
影响因子:
1.4
作者:
Hayashi, Takaki;Yoshida, Nakahiro
通讯作者:
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DOI:
--
发表时间:
2001
期刊:
影响因子:
--
作者:
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通讯作者:
Eric Terry
影响因子:
1.7
作者:
M. Fukasawa
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M. Fukasawa
影响因子:
1.4
作者:
M. Fukasawa;M. Rosenbaum
通讯作者:
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