Asymptotic Theory for Linear Diffusions under Alternative Sampling Scheme
The asymptotic distributions of the maximum likelihood estimator of the persistence parameter are developed in a linear diffusion model under three sampling schemes, long-span, in-fill and double. Simulations suggest that the in-fill asymptotic distribution gives a more accurate approximation to the...
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2015
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sg-smu-ink.soe_research-26192017-08-04T03:39:36Z Asymptotic Theory for Linear Diffusions under Alternative Sampling Scheme ZHOU, Qiankun YU, Jun The asymptotic distributions of the maximum likelihood estimator of the persistence parameter are developed in a linear diffusion model under three sampling schemes, long-span, in-fill and double. Simulations suggest that the in-fill asymptotic distribution gives a more accurate approximation to the finite sample distribution than the other two distributions. An empirical application highlights the difference in unit root testing based on the alternative asymptotic distributions. 2015-03-01T08:00:00Z text application/pdf https://ink.library.smu.edu.sg/soe_research/1620 info:doi/10.1016/j.econlet.2014.12.015 https://ink.library.smu.edu.sg/context/soe_research/article/2619/viewcontent/Yu_EL_2015_a.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Economics eng Institutional Knowledge at Singapore Management University Vasicek model In-fill asymptotics Long-span asymptotics Double asymptotics Unit root test Econometrics Economics |
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Vasicek model In-fill asymptotics Long-span asymptotics Double asymptotics Unit root test Econometrics Economics |
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Vasicek model In-fill asymptotics Long-span asymptotics Double asymptotics Unit root test Econometrics Economics ZHOU, Qiankun YU, Jun Asymptotic Theory for Linear Diffusions under Alternative Sampling Scheme |
description |
The asymptotic distributions of the maximum likelihood estimator of the persistence parameter are developed in a linear diffusion model under three sampling schemes, long-span, in-fill and double. Simulations suggest that the in-fill asymptotic distribution gives a more accurate approximation to the finite sample distribution than the other two distributions. An empirical application highlights the difference in unit root testing based on the alternative asymptotic distributions. |
format |
text |
author |
ZHOU, Qiankun YU, Jun |
author_facet |
ZHOU, Qiankun YU, Jun |
author_sort |
ZHOU, Qiankun |
title |
Asymptotic Theory for Linear Diffusions under Alternative Sampling Scheme |
title_short |
Asymptotic Theory for Linear Diffusions under Alternative Sampling Scheme |
title_full |
Asymptotic Theory for Linear Diffusions under Alternative Sampling Scheme |
title_fullStr |
Asymptotic Theory for Linear Diffusions under Alternative Sampling Scheme |
title_full_unstemmed |
Asymptotic Theory for Linear Diffusions under Alternative Sampling Scheme |
title_sort |
asymptotic theory for linear diffusions under alternative sampling scheme |
publisher |
Institutional Knowledge at Singapore Management University |
publishDate |
2015 |
url |
https://ink.library.smu.edu.sg/soe_research/1620 https://ink.library.smu.edu.sg/context/soe_research/article/2619/viewcontent/Yu_EL_2015_a.pdf |
_version_ |
1770572445655236608 |