A note on limiting distribution of the sample auto-covariance function for the first-order autoregressive (AR(1)) model
Mohammad Reza Kazemi and
Mohammad Reza Mahmoudi
Communications in Statistics - Theory and Methods, 2019, vol. 48, issue 15, 3876-3883
Abstract:
Auto-covariance plays a fundamental role in the theory and practice of time series in both spectral and time domain analysis. Many datasets in econometrics, finance or telecommunications follow AR(1) model. In this work, the estimation of the auto-covariance of AR(1) processes is considered. We deal with the limiting distribution of sample auto-covariance function and find its L2-convergence distribution. The limiting result is investigated through extensive Monte Carlo simulations.
Date: 2019
References: Add references at CitEc
Citations:
Downloads: (external link)
http://hdl.handle.net/10.1080/03610926.2018.1481980 (text/html)
Access to full text is restricted to subscribers.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:taf:lstaxx:v:48:y:2019:i:15:p:3876-3883
Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/lsta20
DOI: 10.1080/03610926.2018.1481980
Access Statistics for this article
Communications in Statistics - Theory and Methods is currently edited by Debbie Iscoe
More articles in Communications in Statistics - Theory and Methods from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().