Integer-Valued GARCH Process
An integer-valued analogue of the classical generalized autoregressive conditional heteroskedastic (GARCH) (p,q) model with Poisson deviates is proposed and a condition for the existence of such a process is given. For the case p = 1, q = 1, it is explicitly shown that an integer-valued GARCH process is a standard autoregressive moving average (1, 1) process. The problem of maximum likelihood estimation of parameters is treated. An application of the model to a real time series with a numerical example is given. Copyright 2006 The Authors Journal compilation 2006 Blackwell Publishing Ltd.
Year of publication: |
2006
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Authors: | Ferland, René ; Latour, Alain ; Oraichi, Driss |
Published in: |
Journal of Time Series Analysis. - Wiley Blackwell, ISSN 0143-9782. - Vol. 27.2006, 6, p. 923-942
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Publisher: |
Wiley Blackwell |
Saved in:
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