Dynamics of Trade-by-Trade Price Movements: Decomposition and Models
AbstractIn this article we introduce a decomposition of the joint distribution of price changes of assets recorded trade-by-trade. Our decomposition means that we can model the dynamics of price changes using quite simple and interpretable models which are easily extended in a great number of directions, including using durations and volume as explanatory variables. Thus we provide an econometric basis for empirical work on market microstructure using time series of transaction data. We use maximum likelihood estimation and testing methods to assess the fit of the model to one year of IBM stock price data taken from the New York Stock Exchange. , .
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Bibliographic InfoArticle provided by Society for Financial Econometrics in its journal Journal of Financial Econometrics.
Volume (Year): 1 (2003)
Issue (Month): 1 ()
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Other versions of this item:
- Neil Shephard & Tina Hviid Rydberg, 2002. "Dynamics of trade-by-trade price movements: decomposition and models," Economics Series Working Papers 2002-FE-04, University of Oxford, Department of Economics.
- Tina Hviid Rydberg & Neil Shephard, 2002. "Dynamics of trade-by-trade price movements: decomposition and models," Economics Papers 2002-W1, Economics Group, Nuffield College, University of Oxford.
- Tina Hviid Rydberg & Neil Shephard, 2002. "Dynamics of trade-by-trade price movements: decomposition and models," OFRC Working Papers Series 2002fe04, Oxford Financial Research Centre.
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.:
- Manganelli, Simone, 2002.
"Duration, volume and volatility impact of trades,"
Working Paper Series
0125, European Central Bank.
- Ghysels Eric & Jasiak Joanna, 1998. "GARCH for Irregularly Spaced Financial Data: The ACD-GARCH Model," Studies in Nonlinear Dynamics & Econometrics, De Gruyter, vol. 2(4), pages 1-19, January.
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