In this paper, we consider a general class of vector error correction models which allow for asymmetric and non-linear error correction. We provide asymptotic results for (quasi-)maximum likelihood (QML) based estimators and tests. General hypothesis testing is considered, where testing for...

Asymptotic properties of the quasi-maximum likelihood estimator (QMLE) for general ARCH(q) models - including for example Power ARCH and log-ARCH - are derived. Strong consistency is established under the assumptions that the ARCH process is geometrically ergodic, the conditional variance...