For the pth-order linear ARCH model, St = gt~/O{O q-~lXt2\_l q-0~2 X.2\_2 +-.-q-o~pXtLp, where c~0 > 0, c~i~>0, i = 1, 2, ..., p, {et} is an i.i.d, normal white noise with E~, = 0, Ee~ = 1, and et is independent of {X~, s < t}, Engle (1982) obtained the necessary and sufficient condition for the sec
A note on the ergodicity of non-linear autoregressive model
โ Scribed by H.Z. An; S.G. Chen
- Publisher
- Elsevier Science
- Year
- 1997
- Tongue
- English
- Weight
- 238 KB
- Volume
- 34
- Category
- Article
- ISSN
- 0167-7152
No coin nor oath required. For personal study only.
โฆ Synopsis
We examine the Markov chain Xt = q~(Xt-i )+etb, where Xt = (x,, ..., x,_p+~ )~, b = ( 1,0 ..... 0)L Under some appropriate conditions on q~, we show the ergodicity for {X,} when Eet 2 is suitable small, and the geometric ergodicity when Ee I~' 1 is suitably small.
๐ SIMILAR VOLUMES
Suppose that {X,} is the stationary AR(p) process of the form: X, -/,t = fll(Xt.-i -la) + ... + [~t,(X,\_p -I~) + ~:,, where {~:,} is a sequence of i.i.d, random variables with mean zero and finite variance a 2. In this paper, we study the asymptotic behavior of the empirical process computed from t
In this paper we consider the non-linear time series model Xt = ~,t(O~O "~-0~11X,--I I "~ +...