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Persistent link: https://www.econbiz.de/10008510408
We examine a simple estimator for the multivariate moving average model based on vector autoregressive approximation. In finite samples the estimator has a bias which is low where roots of the determinantal equation are well away from the unit circle, and more substantial where one or more roots...
Persistent link: https://www.econbiz.de/10005698046
We consider estimates of the parameters of GARCH models of daily financial returns, obtained using intra-day (high-frequency) returns data to estimate the daily conditional volatility. We obtain asymptotic properties of the estimators and offer some simulation evidence on small-sample...
Persistent link: https://www.econbiz.de/10005129698
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Many processes can be represented in a simple form as infinite-order linear series. In such cases, an approximate model is often derived as a truncation of the infinite-order process, for estimation on the finite sample. The literature contains a number of asymptotic distributional results for...
Persistent link: https://www.econbiz.de/10005199596
For a general stationary ARMA(<italic>p,q</italic>) process <italic>u</italic> we derive the <italic>exact</italic> form of the orthogonalizing matrix <italic>R</italic> such that <italic>R</italic>′<italic>R</italic> = Σ<sup>−1</sup>, where Σ = <italic>E</italic>(<italic>uu</italic>′) is the covariance matrix of <italic>u</italic>, generalizing the known formulae for <italic>AR</italic>(<italic>p</italic>) processes. In a linear regression model with an ARMA(<italic>p,q</italic>) error process,...
Persistent link: https://www.econbiz.de/10008739833
We examine a simple estimator for the multivariate moving average model based on vector autoregressive approximation. In finite samples the estimator has a bias which is low where roots of the characteristic equation are well away from the unit circle, and more substantial where one or more...
Persistent link: https://www.econbiz.de/10005476117
This report contains impressions of a participant of the Canadian Econometric Study Group meeting held in October, 2006 in Niagara Falls.
Persistent link: https://www.econbiz.de/10005385090
Nonparametric estimation is widely used in statistics and econometrics with many asymptotic results relying on smoothness of the underlying distribution, however, there are cases where such assumptions may not hold in practice. Lack of smoothness may have undesirable consequences such as an...
Persistent link: https://www.econbiz.de/10005385094