Trading volume and information distribution in a market-clearing framework
This paper investigates the relations between aggregate trading volume and information on financial markets from a theoretical standpoint. Through numerical examples, it relates some statistics describing equilibrium price and volume--such as the variance of the price and its correlation with the true asset value, the volume mean, variance, skewness, and kurtosis--to the distribution of information across traders. The analysis is carried out in a static noisy rational expectations framework, with multiple informed traders, where both the precision and the correlation of the signals observed by the traders can be modified.
|Date of creation:||1997|
|Date of revision:|
|Contact details of provider:|| Postal: |
Web page: http://www.federalreserve.gov/
More information through EDIRC
|Order Information:||Web: http://www.federalreserve.gov/pubs/feds/fedsorder.html|
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.:
- Dominique Dupont, 1997. "Extracting information from trading volume," Finance and Economics Discussion Series 1997-20, Board of Governors of the Federal Reserve System (U.S.).
- Easley, David & Kiefer, Nicholas M & O'Hara, Maureen, 1996. " Cream-Skimming or Profit-Sharing? The Curious Role of Purchased Order Flow," Journal of Finance, American Finance Association, vol. 51(3), pages 811-33, July.
- Michael J. Fleming & Eli M. Remolona, 1996. "Price formation and liquidity in the U.S. treasuries market: evidence from intraday patterns around announcements," Research Paper 9633, Federal Reserve Bank of New York.
- Foster, F Douglas & Viswanathan, S, 1996. " Strategic Trading When Agents Forecast the Forecasts of Others," Journal of Finance, American Finance Association, vol. 51(4), pages 1437-78, September.
- Kyle, Albert S, 1985. "Continuous Auctions and Insider Trading," Econometrica, Econometric Society, vol. 53(6), pages 1315-35, November.
- Lamoureux, Christopher G & Lastrapes, William D, 1990. " Heteroskedasticity in Stock Return Data: Volume versus GARCH Effects," Journal of Finance, American Finance Association, vol. 45(1), pages 221-29, March.
- Gallant, A Ronald & Rossi, Peter E & Tauchen, George, 1992. "Stock Prices and Volume," Review of Financial Studies, Society for Financial Studies, vol. 5(2), pages 199-242.
- Diamond, Douglas W. & Verrecchia, Robert E., 1981. "Information aggregation in a noisy rational expectations economy," Journal of Financial Economics, Elsevier, vol. 9(3), pages 221-235, September.
- Kandel, Eugene & Pearson, Neil D, 1995. "Differential Interpretation of Public Signals and Trade in Speculative Markets," Journal of Political Economy, University of Chicago Press, vol. 103(4), pages 831-72, August.
- Jain, Prem C, 1988. "Response of Hourly Stock Prices and Trading Volume to Economic News," The Journal of Business, University of Chicago Press, vol. 61(2), pages 219-31, April.
- Paul Milgrom & Nancy L.Stokey, 1979.
"Information, Trade, and Common Knowledge,"
377R, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
- Foster, F Douglas & Viswanathan, S, 1995. "Can Speculative Trading Explain the Volume-Volatility Relation?," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(4), pages 379-96, October.
- Blume, Lawrence & Easley, David & O'Hara, Maureen, 1994. " Market Statistics and Technical Analysis: The Role of Volume," Journal of Finance, American Finance Association, vol. 49(1), pages 153-81, March.
When requesting a correction, please mention this item's handle: RePEc:fip:fedgfe:1997-41. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Kris Vajs)
If references are entirely missing, you can add them using this form.