On the autocorrelation properties of Long Memory Garch Processes
This paper derives the autocorrelation function of the squared values of long-memory GARCH processes. The latter are of much interest since they can produce the long-memory conditional heteroscedasticity that many high-frequency financial time series exhibit. An empirical application illustrating the practical use of our results is also discussed.
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- Menelaos Karanasos & Zacharias Psaradakis & Martin Sola, 2004. "On the Autocorrelation Properties of Long-Memory GARCH Processes," Journal of Time Series Analysis, Wiley Blackwell, vol. 25(2), pages 265-282, 03.
- repec:eee:finlet:v:22:y:2017:i:c:p:274-279 is not listed on IDEAS
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