Explorations in LCS models of stock trading

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2321, Issue , 2002, Pages 151-180

  Schulenburg, Sonia ^a   Ross, Peter ^a  

^a EDINBURGH NAPIER UNIVERSITY   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

COMMERCE; FINANCIAL MARKETS; INVESTMENTS; LEARNING SYSTEMS;

ARTIFICIAL AGENTS; BASIC ELEMENTS; ECONOMIC MODELING; ECONOMIC THEORIES; EFFICIENT MARKET HYPOTHESIS; INFORMATION SET; INVESTMENT STRATEGY; TREND FOLLOWING;

ECONOMICS;

EID: 84949235404     PISSN: 03029743     EISSN: 16113349     Source Type: Journal    
DOI: 10.1007/3-540-48104-4_10     Document Type: Article

References (43)

1. In Robert R. Trippi and Efraim Turban, editors, Neural Networks in Finance and Investing. Using Artificial Intelligence to Improve Real-World Performance. Probus Publishing Company, Chicago, Illinois, 1993.
2. In Apostolos-Paul N. Refenes, editor, Neural Networks in the Capital Markets. John Wiley and Sons, March 1995.
3. In Apostolos-Paul N. Refenes, Yaser Abu-Mostafa, John Moody, and Andreas Weigend, editors, Neural Networks in Financial Engineering: Proceedings of the Third International Conference on Neural Networks in the Capital Markets. World Scientific Publishing Company, June 1996.
4. In Yaser S. Abu-Mostafa, Blake Lebaron, Andrew W. Lo, and Andreas S. Weigend, editors, Computational Finance 1999. MIT Press, 1999.
5. Betting on the Market. An Interview with Peter Lynch. http://www.pbs.org, Consulted May, 2001.
6. W. B. Arthur, J. H. Holland, B. LeBaron, R. Palmer, and P. Tayler. Asset pricing under endogenous expectations in an artificial stock market. Working Paper 96- 12-093, Santa Fe Instituite, December 1996.
7. W. B. Arthur, J. H. Holland, B. LeBaron, R. Palmer, and P. Tayler. Asset Pricing Under Endogenous Expectations in an Artificial Stock Market. In W. B. Arthur, S. Durlauf, and D. Lane, editors, The Economy as an Evolving Complex System 2, pages 15-44. Addison-Wesley, Reading, MA, 1997.
8. Dean S. Barr and Ganesh Mani. Using Neural Nets to Manage Investments. AI EXPERT, pages 16-22, February 9th 1994.
9. Nicholas Chan, Blake Le Baron, Andrew W. Lo, and Tomaso Poggio. Information Dissemination and Aggregation in Asset Markets with Simple Intelligent Traders. Technical Report C.B.C.L No. 164, Massachusetts Institute Of Technology, Artificial Intelligence Laboratory and Center for Biological and Computational Learning, 1998.
10. Nicholas Chan, Blake LeBaron, Andrew W. Lo, and Tomaso Poggio. Agent-Based Models of Financial Markets: A Comparison with Experimental Markets, September 1999.
11. Shu-Heng Chen and Chia-Hsuan Yeh. Modeling Speculators with Genetic Programming. In Peter J. Angeline, Robert G. Reynolds, John R. McDonnell, and Russ Eberhart, editors, Proceedings of the Sixth Conference on Evolutionary Programming, volume 1213 of Lecture Notes in Computer Science, pages 137-147, Indianapolis, Indiana, USA, 1997. Springer-Verlag.
12. Shu-Heng Chen and Chia-Hsuan Yeh. Genetic Programming in the Agent-Based Modeling of Stock Markets. In David A. Belsley and Christopher F. Baum, editors, Proceedings of the Fifth International Conference on Computing in Economics and Finance, Boston College, MA, USA, 1999.
13. James Essinger. Artificial Intelligence. Applications in Financial Trading and Investment Management. Euromoney Publications Plc., 1st edition, 1990.
14. Eugene F. Fama. Random Walks in Stock Market Prices. Paper No. 16 in the series of Selected Papers of the Graduate School of Business, University of Chicago, 1965. Reprinted in the Financial Analysts Journal (September-October 1965), The Analyst Journal, London (1966), The Institutional Investor, 1968.
15. Eugene F. Fama. The Behavior of Stock Market Prices. Journal of Business, 38:34-105, January 1965.
16. Eugene F. Fama. Efficient Capital Markets: A Review of Theory and Empirical Work. Journal of Finance, 25:383-417, May 1970.
17. Eugene F. Fama. Efficient Capital Markets: II. Journal of Finance, 46(5):1575-1617, December 1991.
18. Mani Ganesh and Dean Barr. Stock-specific, non-linear neural net models: The AXON System. In Proceedings of the Neural Networks in the Capital Markets Conference, November 1994.
19. William N. Goetzmann. An Introduction to Investment Theory. http://viking.som.yale.edu/will/finman540/classnotes/notes.html, Consulted May, 2001.
20. Shareen Joshi and Mark A. Bedau. An Explanation of Generic Behavior in an Evolving Financial Market. Working Paper 98-12-114, Santa Fe Institute, 1998.
21. Takashi Kimoto and Morio Yoda. Buying ans Selling Timing Prediction System for Stock Based on Modular Neural Networks. Fujitsu Scientific and Technical Journal, 29(3):257-264, Autumn 1993.
22. Blake LeBaron. Experiments in Evolutionary Finance. SSRI Working Paper No. 9528, Department of Economics, University of Wisconsin-Madison, August 1995.
23. Blake LeBaron. Building Financial Markets With Artificial Agents: Desired Goals, and Present Techniques. Technical report, Graduate School of International Economics and Finance, Brandeis University, February 1999.
24. Blake LeBaron. Agent Based Computational Finance: Suggested Readings and Early Research. Journal of Economic Dynamics and Control, 2000.
25. Blake LeBaron, W. Brian Arthur, and Richard Palmer. The Time Series Properties of an Artificial Stock Market. Journal of Economic Dynamics and Control, 23:1487-1516, 1999.
26. Jin Li and Edward P. K. Tsang. Improving Technical Analysis Predictions: An Application of Genetic Programming. 1999.
27. Jin Li and Edward P. K. Tsang. Reducing Failures in Investment Recommendations using Genetic Programming. Barcelona, Spain, July 2000.
28. Andrew W. Lo and A. Craig MacKinlay. A Non-Random Walk Down Wall Street. Princeton University Press, 1999.
29. Burton G. Malkiel. A Random Walk Down Wall Street. W.W. Norton and Company, 6th edition, 1999.
30. Timothy Masters. Neural, Novel and Hybrid Algorithms for Time Series Prediction. John Wiley and Sons, October 1995.
31. R. G. Palmer, W. Brian Arthur, John H. Holland, Blake LeBaron, and P. Tayler. Artificial economic life: a simple model of a stockmarket. Physica D, D75:264-274, 1994.
32. Olivier V. Pictet, Michel M. Dacorogna, Rakhal D. Davé, Bastien Chopard, Roberto Schirru, and Marco Tomassini. Genetic Algorithms with collective sharing for Robust Optimization in Financial Applications. Working Paper OVP.1995-02- 06, Olsen and Associates Research Group, January 1996.
33. Matt Ridley. Frontiers of Finance. The Economist, pages 3-22, October 9th 1993.
34. Sheldon M. Ross. An Introduction to Mathematical Finance. Options and Other Topics. Cambridge University Press, Cambridge, UK, 1999.
35. Sonia Schulenburg and Peter Ross. An Evolutionary Approach to Modelling the Behaviours of Financial Traders. In Genetic and Evolutionary Computation Conference Late Braking Papers, pages 245-253, Orlando, Florida, 1999.
36. Sonia Schulenburg and Peter Ross. An Adaptive Agent Based Economic Model. In Pier Luca Lanzi, Wolfgang Stolzmann, and Stewart W. Wilson, editors, Learning Classifier Systems: From Foundations to Applications, volume 1813 of Lecture Notes in Artificial Intelligence, pages 265-284. Springer-Verlag, Berlin, 2000.
37. Sonia Schulenburg and Peter Ross. Strength and Money: An LCS Approach to Increasing Returns. In Pier Luca Lanzi, Wolfgang Stolzmann, and Stewart W. Wilson, editors, Advances in Learning Classifier Systems, volume 1996 of Lecture Notes in Artificial Intelligence. Springer-Verlag, Berlin, 2001.
38. James D. Thomas. Thesis Proposal, Carnegie Mellon University, Department of Computer Science, 2000.
39. James D. Thomas and Katia Sycara. Integrating Genetic Algorithms and Text Learning for Financial Prediction. In Alex A. Freitas, William Hart, Natalio Krasnogor, and Jim Smith, editors, Proceedings of the GECCO-2000 Workshop on Data Mining with Evolutionary Algorithms, pages 72-75, Las Vegas, Nevada, USA, 2000.
40. Edward P. K. Tsang, Jin Li, and James M. Butler. EDDIE Beats the Bookies. International Journal of Software, Practice and Experience, 28(10):1033-1043, August 1998.
41. Edward P. K. Tsang, Jin Li, Sheri Makrose, Hakan Er, Abdel Salhi, and Giulia Iori. EDDIE in Financial Decision Making. Journal of Management and Economics, November 2000.
42. Halbert White. Economic Prediction Using Neural Networks: The Case of IBM Daily Stock Returns. In Proceedings of the IEEE International Conference on Neural Networks, July 1988.
43. Beat Wuthrich, D. Permunetilleke, S. Leung, Vincent Cho, J. Zhang, and W. Lam. Daily Prediction of Major Stock Indices from Textual WWW Data. In Knowledge Discovery and Data Mining - KDD-98, pages 364-368, 1998.