Using Genetic Algorithms to Find Technical Trading Rules (Revised: 20-95)
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Bibliographic InfoPaper provided by Wharton School Rodney L. White Center for Financial Research in its series Rodney L. White Center for Financial Research Working Papers with number 20-93.
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- Spyros Skouras, 1998.
"Financial Returns and Efficiency as seen by an Artificial Technical Analyst,"
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- Skouras, Spyros, 2001. "Financial returns and efficiency as seen by an artificial technical analyst," Journal of Economic Dynamics and Control, Elsevier, vol. 25(1-2), pages 213-244, January.
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- Colin Fyfe & John Paul Marney & Heather Tarbert, 2005. "Risk adjusted returns from technical trading: a genetic programming approach," Applied Financial Economics, Taylor & Francis Journals, vol. 15(15), pages 1073-1077.
- Barbara Summers & Evan Griffiths & Robert Hudson, 2004. "Back to the future: an empirical investigation into the validity of stock index models over time," Applied Financial Economics, Taylor & Francis Journals, vol. 14(3), pages 209-214.
- N. K. Chidambaran & Chi-Wen Jevons Lee & Joaguin R. Trigueros, 1998. "An Adaptive Evolutionary Approach to Option Pricing via Genetic Programming," New York University, Leonard N. Stern School Finance Department Working Paper Seires 98-086, New York University, Leonard N. Stern School of Business-.
- NUÑEZ, Laura, 2002. "An analysis of the robustness of Genetic Algorithm (GA) methodology in the design of trading systems for the Stock Exchange," Computing in Economics and Finance 2002 29, Society for Computational Economics.
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