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Bayesian Analysis of the Stochastic Conditional Duration Model Author info | Abstract | Publisher info | Download info | Related research | Statistics Chris M. Strickland
Catherine S. Forbes ()
Gael M. Martin ()
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A Bayesian Markov Chain Monte Carlo methodology is developed for estimating the stochastic conditional duration model. The conditional mean of durations between trades is modelled as a latent stochastic process, with the conditional distribution of durations having positive support. The sampling scheme employed is a hybrid of the Gibbs and Metropolis Hastings algorithms, with the latent vector sampled in blocks. The suggested approach is shown to be preferable to the quasi-maximum likelihood approach, and its mixing speed faster than that of an alternative single-move algorithm. The methodology is illustrated with an application to Australian intraday stock market data.
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Paper provided by Monash University, Department of Econometrics and Business Statistics in its series Monash Econometrics and Business Statistics Working Papers with number
14/03.
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Length: 28 pages
Date of creation: Aug 2003Date of revision:
Handle: RePEc:msh:ebswps:2003-14Contact details of provider: Postal: PO Box 11E, Monash University, Victoria 3800, Australia Phone: +61-3-9905-2489 Fax: +61-3-9905-5474 Email: Web page: http://www.buseco.monash.edu.au/depts/ebs/ More information through EDIRC
Order Information: Email: Web: http://www.buseco.monash.edu.au/depts/ebs/pubs/wpapers/
For technical questions regarding this item, or to correct its listing, contact: (Simone Grose).
Keywords: Transaction data ; Latent factor model ; Non-Gaussian state space model ; Kalman filter and simulation smoother. ; Other versions of this item:
Find related papers by JEL classification: C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Bayesian Analysis C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: General - - - Statistical Simulation Methods C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis
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references Cited by : (explanations , Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile , click on "citations" and make appropriate adjustments.)
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