On the Autocorrelation Properties of Long‐Memory GARCH Processes
Menelaos Karanasos (),
Zacharias Psaradakis and
Martin Sola
Journal of Time Series Analysis, 2004, vol. 25, issue 2, 265-282
Abstract:
Abstract. This paper derives the autocorrelation function of the squared values of long‐memory GARCH processes. Such processes are of much interest as they can produce the long‐memory conditional heteroskedasticity that many high‐frequency financial time series exhibit. An empirical application illustrating the practical use of our results is also discussed.
Date: 2004
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https://doi.org/10.1046/j.0143-9782.2003.00349.x
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Working Paper: On the autocorrelation properties of Long Memory Garch Processes (2002) 
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Persistent link: https://EconPapers.repec.org/RePEc:bla:jtsera:v:25:y:2004:i:2:p:265-282
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