Trading Volume in Dealer Markets
Abstract
We develop a financial market trading model in the tradition of Glosten and Milgrom (1985) that allows us to incorporate non-trivial volume. We observe that in this model price volatility is positively related to the trading volume and to the absolute value of the net order flow, i.e. the order imbalance. Moreover, higher volume leads to higher order imbalances. These findings are consistent with well-established empirical findings. Our model further predicts that higher trader participation and systematic improvements in the quality of traders' information lead to higher volume, larger order imbalances, lower market depth, shorter duration, and higher price volatility.Download Info
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Paper provided by University of Toronto, Department of Economics in its series Working Papers with number tecipa-357.Length: 42 pages
Date of creation: 04 May 2009
Date of revision:
Handle: RePEc:tor:tecipa:tecipa-357
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Related research
Keywords: Market Microstructure; Trading Volume; Liquidity;Other versions of this item:
- Malinova, Katya & Park, Andreas, 2011. "Trading Volume in Dealer Markets," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 45(06), pages 1447-1484, January.
- G10 - Financial Economics - - General Financial Markets - - - General (includes Measurement and Data)
- G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies
- D82 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Asymmetric and Private Information; Mechanism Design
- D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
This paper has been announced in the following NEP Reports:
- NEP-ALL-2009-05-16 (All new papers)
- NEP-MST-2009-05-16 (Market Microstructure)
References
References listed on IDEASPlease 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.:
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CEPR Discussion Papers
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Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.Cited by:
- Katya Malinova & Andreas Park, 2009. "Intraday Trading Patterns: The Role of Timing," Working Papers tecipa-365, University of Toronto, Department of Economics.
- Katarzyna Bien-Barkowska, 2012. ""Does it take volume to move fx rates?" Evidence from quantile regressions," Dynamic Econometric Models, Wydawnictwo Naukowe Uniwersytetu Mikolaja Kopernika, vol. 12, pages 35-52.
- Faten Ben Slimane, 2012. "Stock exchange consolidation and return volatility," Managerial Finance, Emerald Group Publishing, vol. 38(6), pages 606-627, May.
- Louhichi, Waƫl, 2011. "What drives the volume-volatility relationship on Euronext Paris?," International Review of Financial Analysis, Elsevier, vol. 20(4), pages 200-206, August.
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