Scandinavian Working Papers in Economics

SSE/EFI Working Paper Series in Economics and Finance,
Stockholm School of Economics

No 632: Stability of nonlinear AR-GARCH models

Mika Meitz () and Pentti Saikkonen ()
Additional contact information
Mika Meitz: Dept. of Economic Statistics, Stockholm School of Economics, Postal: Stockholm School of Economics, P.O. Box 6501, SE-113 83 Stockholm, Sweden
Pentti Saikkonen: Dept. of Mathematics and Statistics, University of Helsinki, Postal: Department of Mathematics and Statistics, University of Helsinki, P.O. Box 68, FIN-00014 University of Helsinki, Finland

Abstract: This paper studies the stability of nonlinear autoregressive models with conditionally heteroskedastic errors. We consider a nonlinear autoregression of order p (AR(p)) with the conditional variance specified as a nonlinear first order generalized autoregressive conditional heteroskedasticity (GARCH(1,1)) model. Conditions under which the model is stable in the sense that its Markov chain representation is geometrically ergodic are provided. This implies the existence of an initial distribution such that the process is strictly stationary and beta-mixing. Conditions under which the stationary distribution has finite moments are also given. The results cover several nonlinear specifications recently proposed for both the conditional mean and conditional variance.

Keywords: -

JEL-codes: C22

23 pages, June 1, 2006

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Published as
Mika Meitz and Pentti Saikkonen, (2008), 'Stability of nonlinear AR-GARCH models', Journal of Time Series Analysis, vol 29, pages 453-475

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