Finite sample properties of the QMLE for the Log-ACD model: Application to Australian stocks
dc.contributor.author | Allen, D. | |
dc.contributor.author | Chan, Felix | |
dc.contributor.author | McAleer, M. | |
dc.contributor.author | Peiris, S. | |
dc.date.accessioned | 2017-01-30T13:46:17Z | |
dc.date.available | 2017-01-30T13:46:17Z | |
dc.date.created | 2010-05-18T20:03:05Z | |
dc.date.issued | 2008 | |
dc.identifier.citation | Allen, David and Chan, Felix and McAleer, Michael and Peiris, Shelton. 2008. Finite sample properties of the QMLE for the Log-ACD model: Application to Australian stocks. Journal of Econometrics. 147 (1): pp. 163-185. | |
dc.identifier.uri | http://hdl.handle.net/20.500.11937/34878 | |
dc.identifier.doi | 10.1016/j.jeconom.2008.09.020 | |
dc.description.abstract |
This paper concerns the properties of the Quasi Maximum Likelihood Estimator (QMLE) of the Logarithmic Autoregressive Conditional Duration (Log-ACD) model. Proofs of consistency and asymptotic normality of QMLE for the Log-ACD model with log-normal density are presented. This is an important issue as the Log-ACD is used widely for testing various market microstructure models and effects. Knowledge of the distribution of the QMLE is crucial for purposes of valid inference and diagnostic checking. The theoretical results developed in the paper are evaluated using Monte Carlo experiments. The experimental results also provide insights into the finite sample properties of the Log-ACD model under different distributional assumptions. Finally, this paper presents two extensions to the Log-ACD model to accommodate asymmetric effects. The usefulness of these novel models will be evaluated empirically using data from Australian stocks. | |
dc.publisher | Elsevier | |
dc.subject | Monte Carlo simulation | |
dc.subject | Conditional Duration | |
dc.subject | ACD | |
dc.subject | Lof-ACD | |
dc.subject | Asymmetry | |
dc.title | Finite sample properties of the QMLE for the Log-ACD model: Application to Australian stocks | |
dc.type | Journal Article | |
dcterms.source.volume | 147 | |
dcterms.source.startPage | 163 | |
dcterms.source.endPage | 185 | |
dcterms.source.issn | 03044076 | |
dcterms.source.title | Journal of Econometrics | |
curtin.note |
The link to the journal’s home page is: | |
curtin.accessStatus | Open access | |
curtin.faculty | Curtin Business School | |
curtin.faculty | School of Economics and Finance |