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Modeling comovements in trading intensities to distinguish sector and stock specific news

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Author Info
Spierdijk, L.
Nijman, T.E.
Soest, A.H.O. van (Tilburg University, Center for Economic Research)

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Abstract

In this paper we propose a bivariate model for the trading intensities of stocks in a particular industry. The model consists of a univariate duration model for trades in either of the stocks and a probit-specification for which of the two stocks is traded. We apply the model to the trading intensities of stocks of US department store operators listed on the NYSE, using high frequency transaction data during the period August 1 until October 31, 1999. We establish significant comovements in the trading intensities of US department stocks, which we explain by distinguishing sector and stock specific news contained in the trading intensities. We provide estimates of the amounts of sector and stock specific news contained in the trading intensities and show that all stocks under consideration convey both sector and stock specific news.

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Paper provided by Tilburg University, Center for Economic Research in its series Discussion Paper with number 69.

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Date of creation: 2002
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Handle: RePEc:dgr:kubcen:200269

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Related research
Keywords: duration analysis;

Find related papers by JEL classification:
C41 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics - - - Duration Analysis

References listed on IDEAS
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.:

  1. Harvey, A C, 1976. "Estimating Regression Models with Multiplicative Heteroscedasticity," Econometrica, Econometric Society, vol. 44(3), pages 461-65, May. [Downloadable!] (restricted)
  2. Robert F. Engle & Jeffrey R. Russell, 1998. "Autoregressive Conditional Duration: A New Model for Irregularly Spaced Transaction Data," Econometrica, Econometric Society, vol. 66(5), pages 1127-1162, September.
  3. Tim Bollerslev & Jeffrey Wooldridge, 1992. "Quasi-maximum likelihood estimation and inference in dynamic models with time-varying covariances," Econometric Reviews, Taylor and Francis Journals, vol. 11(2), pages 143-172. [Downloadable!] (restricted)
  4. Diamond, Douglas W. & Verrecchia, Robert E., 1987. "Constraints on short-selling and asset price adjustment to private information," Journal of Financial Economics, Elsevier, vol. 18(2), pages 277-311, June. [Downloadable!] (restricted)
  5. Robert F. Engle & Asger Lunde, 1998. "Trades and Quotes: A Bivariate Point Process," University of California at San Diego, Economics Working Paper Series 98-07, Department of Economics, UC San Diego. [Downloadable!]
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  6. Easley, David & O'Hara, Maureen, 1992. " Time and the Process of Security Price Adjustment," Journal of Finance, American Finance Association, vol. 47(2), pages 576-605, June.
  7. Luc Bauwens & Pierre Giot, 2000. "The Logarithmic ACD Model: An Application to the Bid-Ask Quote Process of Three NYSE Stocks," Annales d'Economie et de Statistique, ADRES, issue 60, pages 06, Octobre-D. [Downloadable!]
  8. Anat R. Admati, Paul Pfleiderer, 1988. "A Theory of Intraday Patterns: Volume and Price Variability," Review of Financial Studies, Oxford University Press for Society for Financial Studies, vol. 1(1), pages 3-40. [Downloadable!] (restricted)
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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.)

  1. Clive G. Bowsher, 2005. "Modelling Security Market Events in Continuous Time: Intensity Based, Multivariate Point Process Models," Economics Papers 2005-W26, Economics Group, Nuffield College, University of Oxford. [Downloadable!]
    Other versions:
  2. Ola Simonsen, 2007. "An empirical model for durations in stocks," Annals of Finance, Springer, vol. 3(2), pages 241-255, March. [Downloadable!] (restricted)
  3. Clive G. Bowsher, 2003. "Modelling Security Market Events in Continuous Time: Intensity Based, Multivariate Point Process Models," Economics Papers 2003-W03, Economics Group, Nuffield College, University of Oxford. [Downloadable!]
  4. Simonsen, Ola, 2005. "An Empirical Model for Durations in Stocks," UmeÃ¥ Economic Studies 657, Umeå University, Department of Economics. [Downloadable!]
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