Integer‐Valued GARCH Process

René Ferland, Alain Latour and Driss Oraichi

Journal of Time Series Analysis, 2006, vol. 27, issue 6, 923-942

Abstract: Abstract. 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.

Date: 2006
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