A Note on "Quasi-Maximum-Likelihood Estimation in Conditionally Heteroscedastic Time Series: A Stochastic Recurrence Equations Approach"

Abstract

Bougerol (1993) and Straumann and Mikosch (2006) gave conditions under which there exists a unique stationary and ergodic solution to the stochastic difference equation Yt a.s.= t (Yt-1), t ∈ Z where (t)t ∈ Z is a sequence of stationary and ergodic random Lipschitz continuous functions from (Y,|| · ||) to (Y,|| · ||) where (Y,|| · ||) is a complete subspace of a real or complex separable Banach space. In the case where (Y,|| · ||) is a real or complex separable Banach space, Straumann and Mikosch (2006) also gave conditions under which any solution to the stochastic difference equation Yt a.s.= t (Yt-1), t ∈ N with Y0 given where (t)t ∈ N is only a sequence of random Lipschitz continuous functions from (Y,|| · ||) to (Y,|| · ||) satisfies γt || Yt - Yt || a.s.→ 0 as t → ∞ for some γ > 1. In this note, we give slightly different conditions under which this continues to hold in the case where (Y,|| · ||) is only a complete subspace of a real or complex separable Banach space by using close to identical arguments as Straumann and Mikosch (2006).

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