Li, Q. and Pan, J. (2009) Determining the number of factors in a multivariate error correction–volatility factor model. Econometrics Journal, 12 (1). pp. 4561. ISSN 13684221

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Abstract
In order to describe the comovements in both conditional mean and conditional variance of high dimensional nonstationary time series by dimension reduction, we introduce the conditional heteroscedasticity with factor structure to the error correction model. The new model is called the error correction volatility factor model. Some specification and estimation approaches are developed. In particular, the determination of the number of factors is discussed. Our setting is general in the sense that we impose neither i.i.d assumption on idiosyncratic components in the factor structure nor independence between factors and idiosyncratic errors. We illustrate the proposed approach with a Monte Carlo simulation and a real data example.
Item type:  Article 

ID code:  13649 
Keywords:  dimension reduction, cointegration, error correctionvolatility factor model, penalized goodnessoffit criteria, model selection, Mathematics, Economics and Econometrics 
Subjects:  Science > Mathematics 
Department:  Faculty of Science > Mathematics and Statistics 
Depositing user:  Mrs Carolynne Westwood 
Date Deposited:  12 Jan 2010 15:29 
Last modified:  27 Mar 2015 00:51 
URI:  http://strathprints.strath.ac.uk/id/eprint/13649 
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