Algorithmic Trading and Information
AbstractWe examine algorithmic trades (AT) and their role in the price discovery process in the 30 DAX stocks on the Deutsche Boerse. AT liquidity demand represents 52% of volume and AT supplies liquidity on 50% of volume. AT act strategically by monitoring the market for liquidity and deviations of price from fundamental value. AT consume liquidity when it is cheap and supply liquidity when it is expensive. AT contribute more to the efficient price by placing more efficient quotes and AT demanding liquidity to move the prices towards the efficient price.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by NET Institute in its series Working Papers with number 09-08.
Length: 40 pages
Date of creation: Mar 2009
Date of revision: Aug 2009
Contact details of provider:
Web page: http://www.NETinst.org/
Algorithmic trading; information technology; price discovery; market microstructure; price efficiency;
Find related papers by JEL classification:
- D4 - Microeconomics - - Market Structure and Pricing
- D8 - Microeconomics - - Information, Knowledge, and Uncertainty
- G1 - Financial Economics - - General Financial Markets
This paper has been announced in the following NEP Reports:
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.:
- Keim, Donald B. & Madhavan, Ananth, 1995. "Anatomy of the trading process Empirical evidence on the behavior of institutional traders," Journal of Financial Economics, Elsevier, vol. 37(3), pages 371-398, March.
- Harald Hau, 2001. "Location Matters: An Examination of Trading Profits," Journal of Finance, American Finance Association, vol. 56(5), pages 1959-1983, October.
- Mitchell A. Petersen, 2009.
"Estimating Standard Errors in Finance Panel Data Sets: Comparing Approaches,"
Review of Financial Studies,
Society for Financial Studies, vol. 22(1), pages 435-480, January.
- Mitchell A. Petersen, 2005. "Estimating Standard Errors in Finance Panel Data Sets: Comparing Approaches," NBER Working Papers 11280, National Bureau of Economic Research, Inc.
- Hasbrouck, Joel, 1991. " Measuring the Information Content of Stock Trades," Journal of Finance, American Finance Association, vol. 46(1), pages 179-207, March.
- Kumar Venkataraman, 2001. "Automated Versus Floor Trading: An Analysis of Execution Costs on the Paris and New York Exchanges," Journal of Finance, American Finance Association, vol. 56(4), pages 1445-1485, 08.
- Lo, Andrew W. & MacKinlay, A. Craig & Zhang, June, 2002.
"Econometric models of limit-order executions,"
Journal of Financial Economics,
Elsevier, vol. 65(1), pages 31-71, July.
- Andrew W. Lo & A. Craig MacKinlay & June Zhang, 1997. "Econometric Models of Limit-Order Executions," NBER Working Papers 6257, National Bureau of Economic Research, Inc.
- Andrew W. Lo & A. Craig MacKinlay & June Zhang, . "Econometric Models of Limit-Order Executions," Rodney L. White Center for Financial Research Working Papers 12-99, Wharton School Rodney L. White Center for Financial Research.
- Bessembinder, Hendrik, 2003. "Issues in assessing trade execution costs," Journal of Financial Markets, Elsevier, vol. 6(3), pages 233-257, May.
- Biais, Bruno & Hillion, Pierre & Spatt, Chester, 1995. " An Empirical Analysis of the Limit Order Book and the Order Flow in the Paris Bourse," Journal of Finance, American Finance Association, vol. 50(5), pages 1655-89, December.
- Ranaldo, Angelo, 2004. "Order aggressiveness in limit order book markets," Journal of Financial Markets, Elsevier, vol. 7(1), pages 53-74, January.
- Copeland, Thomas E & Galai, Dan, 1983. " Information Effects on the Bid-Ask Spread," Journal of Finance, American Finance Association, vol. 38(5), pages 1457-69, December.
- Lee, Charles M C & Ready, Mark J, 1991. " Inferring Trade Direction from Intraday Data," Journal of Finance, American Finance Association, vol. 46(2), pages 733-46, June.
- Pankaj K. Jain, 2005. "Financial Market Design and the Equity Premium: Electronic versus Floor Trading," Journal of Finance, American Finance Association, vol. 60(6), pages 2955-2985, December.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Nicholas Economides).
If references are entirely missing, you can add them using this form.