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JOINT ASYMPTOTIC DISTRIBUTIONS OF SAMPLE AUTOCORRELATIONS FOR TIME SERIES OF MARTINGALE DIFFERENCES  

Hwang, S.Y. (Department of Statistics, Sookmyung Women's University)
Baek, J.S. (Department of Statistics, Sookmyung Women's University)
Lim, K.E. (Department of Statistics, Sookmyung Women's University)
Publication Information
Journal of the Korean Statistical Society / v.35, no.4, 2006 , pp. 453-458 More about this Journal
Abstract
It is well known fact for the iid data that the limiting standard errors of sample autocorrelations are all unity for all time lags and they are asymptotically independent for different lags (Brockwell and Davis, 1991). It is also usual practice in time series modeling that this fact continues to be valid for white noise series which is a sequence of uncorrelated random variables. This paper contradicts this usual practice for white noise. We consider a sequence of martingale differences which belongs to white noise time series and derive exact joint asymptotic distributions of sample autocorrelations. Some implications of the result are illustrated for conditionally heteroscedastic time series.
Keywords
Limiting standard errors; sample autocorrelations; exact joint asymptotic distribution; conditionally heteroscedastic time series;
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