ACM Home Page
Please provide us with feedback. Feedback
Ultra high frequency financial data
Full text PdfPdf (63 KB)
Source
Genetic And Evolutionary Computation Conference archive
Proceedings of the 2008 GECCO conference companion on Genetic and evolutionary computation table of contents
Atlanta, GA, USA
WORKSHOP SESSION: Advanced research challenges in financial evolutionary computing (ARC-FEC) table of contents
Pages 1847-1850  
Year of Publication: 2008
ISBN:978-1-60558-131-6
Authors
Martin Victor Sewell  University College London, London, United Kngdm
Wei Yan  University College London, London, United Kngdm
Sponsors
SIGEVO: ACM Special Interest Group on Genetic and Evolutionary Computation
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 10,   Downloads (12 Months): 119,   Citation Count: 0
Additional Information:

abstract   references   index terms   collaborative colleagues  

Tools and Actions: Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1388969.1388988
What is a DOI?

ABSTRACT

This note is best described as a 'Research Challenge', and concerns building an ultra high frequency (UHF) trading system. The emphasis is on addressing the problems posed by UHF data, with a few thoughts on strategy and implementation. The problem may be amenable to evolutionary computation.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
B. Biais, L. Glosten, and C. Spatt. Market microstructure: A survey of microfoundations, empirical results, and policy implications. Journal of Financial Markets, 8(2):217--264, May 2005.
 
2
C. Cao, O. Hansch, and X. Wang. The informational content of an open limit order book. 31st EFA Annual Meeting - Maastricht, 18-21 August 2004 and Sixty Fifth Annual Meeting of the American Finance Association, Philadelphia, PA January 7-9, 2005, Mar. 2004.
 
3
J. D. Farmer, L. Gillemot, F. Lillo, S. Mike, and A. Sen. What really causes large price changes? Quantitative Finance, 4(4):383--397, Aug. 2004.
 
4
L. Harris. Trading and Exchanges: Market Microstructure for Practitioners. Financial Management Association Survey and Synthesis Series. Oxford University Press, New York, Sept. 2002.
 
5
L. Harris and J. Hasbrouck. Market vs. limit orders: The SuperDOT evidence on order submission strategy. The Journal of Financial and Quantitative Analysis, 31(2):213--231, June 1996.
 
6
J. Hasbrouck. Empirical Market Microstructure: The Institutions, Economics, and Econometrics of Securities Trading. Oxford University Press, New York, Dec. 2006.
 
7
R. Kaniel and H. Liu. So what orders do informed traders use? The Journal of Business, 79(4):1867--1913, July 2006.
 
8
H. M. Kat. Of market makers and hedge funds. Cass Business School, City University, London, Feb. 2007.
 
9
R. K. Lyons. The Microstructure Approach to Exchange Rates. The MIT Press, Cambridge, MA, Dec. 2001.
 
10
G. E. Moore. Cramming more components onto integrated circuits. Electronics, 38(8):114--117, Apr. 1965.
 
11
M. O'Hara. Market Microstructure Theory. Blackwell Publishing, Malden, MA, Feb. 1995.
 
12
S. Taub. Really big bucks. Alpha, May 2006.
 
13
P. Weber and B. Rosenow. Large stock price changes: Volume or liquidity? Quantitative Finance, 6(1):7--14, Feb. 2006.

Collaborative Colleagues:
Martin Victor Sewell: colleagues
Wei Yan: colleagues