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Determining the number of factors in a multivariate error correction--volatility factor model

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  • Qiaoling Li
  • Jiazhu Pan

Abstract

In order to describe the co-movements in both conditional mean and conditional variance of high dimensional non-stationary time series by dimension reduction, we introduce the conditional heteroscedasticity with factor structure to the error correction model (ECM). The new model is called the error correction--volatility factor model (EC--VF). 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. Copyright The Author(s). Journal compilation Royal Economic Society 2008

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  • Qiaoling Li & Jiazhu Pan, 2009. "Determining the number of factors in a multivariate error correction--volatility factor model," Econometrics Journal, Royal Economic Society, vol. 12(1), pages 45-61, March.
  • Handle: RePEc:ect:emjrnl:v:12:y:2009:i:1:p:45-61
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    Cited by:

    1. Kushankur Dey & Debasish Maitra, 2012. "Price discovery in Indian commodity futures market: an empirical exercise," International Journal of Trade and Global Markets, Inderscience Enterprises Ltd, vol. 5(1), pages 68-87.

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