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Measuring, Forecasting and Explaining Time Varying Liquidity in the Stock Market Author info | Abstract | Publisher info | Download info | Related research | Statistics Robert F. Engle
Joe Lange
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The paper proposes a new measure of market liquidity, VNET, which directly measures the depth of the market. VNET is constructed from the excess volume of buys or sells during a market event defined by a price movement. As this measure varies over time, it can be forecast and explained. Using NYSE TORQ data, it is found that market depth varies positively but less than proportionally with past volume and negatively with the number of transactions. Both findings suggest that over the day high volumes are associated with an influx of informed traders and reduce market liquidity. The timing of events plays an intimate role in the analysis. High expected volatility as measured by the ACD model of Engle and Russell (1997) reduces expected liquidity. Finally, market depth is smaller when the one-sided trading volume is transacted in a shorter than expected time, providing an estimate of the value of patience.
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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
97-12r.
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Date of creation: Nov 1997Date of revision:
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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.: Glosten, Lawrence R, 1987.
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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.)
Michael J. Fleming, 2001.
"Measuring treasury market liquidity ,"
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133, Federal Reserve Bank of New York.
[Downloadable!]
Other versions: Nikolaus Hautsch, 2002.
"Modelling Intraday Trading Activity Using Box-Cox-ACD Models ,"
CoFE Discussion Paper
02-05, Center of Finance and Econometrics, University of Konstanz.
[Downloadable!]
Georges Dionne & Pierre Duchesne & Maria Pacurar, 2005.
"Intraday Value at Risk (IVaR) Using Tick-by-Tick Data with Application to the Toronto Stock Exchange ,"
Cahiers de recherche
0533, CIRPEE.
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