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Impacts of Trades in an Error-Correction Model of Quote Prices Author info | Abstract | Publisher info | Download info | Related research | Statistics Robert Engle (New York University)
Andrew Patton (University of Oxford)
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In this paper we analyze and interpret the quote price dynamics of 100 NYSE stocks with varying average trade frequencies. We specify an error-correction model for the log difference of the bid and the ask price, with the spread acting as the error-correction term, and include as regressors the characteristics of the trades occurring between quote observations, if any. We find that short duration and medium volume trades have the largest impacts on quote prices for all one hundred stocks, and that buyer initiated trades primarily move the ask price while seller initiated trades primarily move the bid price. Trades have a greater impact on quotes in both the short and the long run for the infrequently traded stocks than for the more actively traded stocks. Finally, we find strong evidence that the spread is mean reverting.
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Paper provided by Department of Economics, UC San Diego in its series University of California at San Diego, Economics Working Paper Series with number
2000-26.
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Date of creation: 22 Aug 2000Date of revision:
Handle: RePEc:cdl:ucsdec:2000-26Note: oai:cdlib1:Contact details of provider: Postal: 9500 Gilman Drive, La Jolla, CA 92093-0508 Phone: (858) 534-3383 Fax: (858) 534-7040 Web page: http://repositories.cdlib.org/ucsdecon/ More information through EDIRC
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Keywords: market microstructure ; error-correction ; vector autoregression ; price dynamics ; Other versions of this item:
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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.)
Francis X. Diebold, 2004.
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Francis X. Diebold, 2004.
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FOUCAULT, Thierry & KADAN, Ohad & KANDEL, Eugene, 2001.
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