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Rahim Mahmoudvand

Rahim Mahmoudvand

Academic rank: Associate Professor
ORCID:
Education: PhD.
ScopusId: 35146363700
HIndex:
Faculty: Faculty of Science
Address:
Phone:

Research

Title
Highlighting a Mathematical Property of Sample ACF for Time Series Analysis
Type
Presentation
Keywords
Time series analysis; Autocorrelation Function; Stationarity
Year
2019
Researchers Rahim Mahmoudvand

Abstract

It is around a century that sample autocorrelation function (ACF) has been introduced and used as a standard tools in time series analysis. A vast literature can be found on the statistical properties of the sample ACF. It has been shown that the sum of the sample autocorrelation over the lags 1 to T − 1 is - 0.5 for all time series of length T ([1]-[5]). However, this property has not been deeply discussed in the literature. To the researchers and students it must appear mysterious that standard textbooks on time series analysis fail to acknowledge this property. This paper, consider this property and try to follow up the drawback that might be seen with the application of sample ACF in practice.