Additional information is available for the following registered author(s):

• Franklin Allen

Download Info

To download:

If you experience problems downloading a file, check if you have the proper application to view it first. Information about this may be contained in the File-Format links below. 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.

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Publisher Info

Article provided by Elsevier in its journal Journal of Financial Economics.

Volume (Year): 51 (1999)
Issue (Month): 2 (February)
Pages: 245-271
Download reference. The following formats are available: HTML (with abstract), plain text (with abstract), BibTeX, RIS (EndNote, RefMan, ProCite), ReDIF
Handle: RePEc:eee:jfinec:v:51:y:1999:i:2:p:245-271

Contact details of provider:
Web page: http://www.elsevier.com/locate/inca/505576

For technical questions regarding this item, or to correct its listing, contact: (Heidi Boesdal).

Related research

Keywords:

Cited by:
(explanations, 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.)

1. Serge Hayward, 2005. "The Role of Heterogeneous Agents’ Past and Forward Time Horizons in Formulating Computational Models," Computational Economics, Springer, vol. 25(1), pages 25-40, February. [Downloadable!] (restricted)
2. K. Lam & Wei Li, 2004. "Is the ‘Perfect’ Timing Strategy Truly Perfect?," Review of Quantitative Finance and Accounting, Springer, vol. 22(1), pages 39-51, January. [Downloadable!] (restricted)
3. Marcos Alvarez Díaz & Manuel González Gómez, 2003. "Modelización semiparamétrica y validación teórica del método de valoración contingente. Aplicación de un algoritmo genético," Hacienda Pública Española, IEF, vol. 164(1), pages 29-47, march. [Downloadable!]
4. Andreas Krause, 2009. "Evaluating the performance of adapting trading strategies with different memory lengths," Quantitative Finance Papers 0901.0447, arXiv.org. [Downloadable!]
5. Laura Marta Nuã‘Ez, 2004. "Do Moving Average Rules Make Profits? A Study Using The Madrid Stock Market," Working Papers Economia wp04-03, Instituto de Empresa, Area of Economic Environment. [Downloadable!]
6. Pedro N. Rodríguez & Simón Sosvilla-Rivero, 2006. "Using machine learning algorithms to find patterns in stock prices," Working Papers 2006-12, FEDEA. [Downloadable!]
7. Laura Marta Nuã‘Ez, 2002. "An Analysis Of The Robustness Of Genetic Algorithm (ga) Methodology In The Design Of Trading System," Working Papers Economia wp02-24, Instituto de Empresa, Area of Economic Environment. [Downloadable!]
8. Menkhoff, Lukas & Taylor, Mark P., 2006. "The Obstinate Passion of Foreign Exchange Professionals : Technical Analysis," The Warwick Economics Research Paper Series (TWERPS) 769, University of Warwick, Department of Economics. [Downloadable!]
   Other versions:
   • Menkhoff, Lukas & Taylor, Mark P., 2006. "The Obstinate Passion of Foreign Exchange Professionals: Technical Analysis," Diskussionspapiere der Wirtschaftswissenschaftlichen Fakultät der Universität Hannover dp-352, Universität Hannover, Wirtschaftswissenschaftliche Fakultät. [Downloadable!]
   • Lukas Menkhoff & Mark P. Taylor, 2007. "The Obstinate Passion of Foreign Exchange Professionals: Technical Analysis," Journal of Economic Literature, American Economic Association, vol. 45(4), pages 936-972, December.
9. M. A. H. Dempster & C. M. Jones, 2002. "Can channel pattern trading be profitably automated?," European Journal of Finance, Taylor and Francis Journals, vol. 8(3), pages 275-301, September. [Downloadable!] (restricted)
10. Pereira, Robert, 1999. "Forecasting Ability But No Profitability: An Empirical Evaluation of Genetic Algorithm-optimised Technical Trading Rules," MPRA Paper 9055, University Library of Munich, Germany. [Downloadable!]
11. Hristos Doucouliagos, 2003. "Number Preference in Australian Stock Prices," Economics Series 2003_05, Deakin University, Faculty of Business and Law, School of Accounting, Economics and Finance. [Downloadable!]
12. Julián Andrada Félix & Fernando Fernández Rodríguez & María Dolores García Artiles, 2004. "Non-linear trading rules in the New York Stock Exchange," Documentos de trabajo conjunto ULL-ULPGC 2004-05, Facultad de Ciencias Económicas de la ULPGC. [Downloadable!]
13. Noe, Thomas H. & Rebello, Michael J. & Wang, Jun, 2004. "The Evolution of Security Designs," SIFR Research Report Series 26, Institute for Financial Research. [Downloadable!]
    Other versions:
    • Thomas H. Noe & Michael J. Rebello & Jun Wang, 2006. "The Evolution of Security Designs," Journal of Finance, American Finance Association, vol. 61(5), pages 2103-2135, October. [Downloadable!] (restricted)
14. Lensberg, Terje & Schenk-Hoppé, Klaus Reiner, 2006. "On the Evolution of Investment Strategies and the Kelly Rule – A Darwinian Approach," Discussion Papers 2006/23, Department of Finance and Management Science, Norwegian School of Economics and Business Administration. [Downloadable!]
    Other versions:
    • Terje Lensberg & Klaus Reiner Schenk-Hoppe, 2006. "On the Evolution of Investment Strategies and the Kelly Rule – A Darwinian Approach," Swiss Finance Institute Research Paper Series 06-38, Swiss Finance Institute. [Downloadable!]
15. Manuel Ammann & Christian Zenkner, 2003. "Tactical Asset Allocation mit Genetischen Algorithmen," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 139(I), pages 1-40, March. [Downloadable!]
16. Fernando Fernández-Rodríguez & Christian González-Martel & Simón Sosvilla-Rivero, 2005. "Optimization of technical rules by genetic algorithms: evidence from the Madrid stock market," Applied Financial Economics, Taylor and Francis Journals, vol. 15(11), pages 773-775, July. [Downloadable!] (restricted)
    Other versions:
    • Fernando Fernández-Rodríguez & Christian González-Martel & Simón Sosvilla-Rivero, . "Optimisation of Technical Rules by Genetic Algorithms: Evidence from the Madrid Stock Market," Working Papers 2001-14, FEDEA. [Downloadable!]
17. Cyril Schoreels & Jonathan M. Garibaldi, 2006. "Comparative study of central decision makers versus groups of evolved agents trading in equity markets," Computing in Economics and Finance 2006 410, Society for Computational Economics. [Downloadable!]
18. Mark P Austin & Graham Bates & Michael A H Dempster & Vasco Leemans & Stacy N Williams, 2004. "Adaptive systems for foreign exchange trading," Quantitative Finance, Taylor and Francis Journals, vol. 4(4), pages C37-C45, August. [Downloadable!] (restricted)
19. Vaihekoski, Mika, 2008. "History of finance research and education in Finland: the first thirty years," Research Discussion Papers 18/2008, Bank of Finland. [Downloadable!]
20. Yochanan Shachmurove & Uri BenZion & Paul Klein & Joseph Yagil, 2001. "A Moving Average Comparison of the Tel-Aviv 25 and S&P 500 Stock Indices," Penn CARESS Working Papers 4731f3394c43bebf4d3191c81, Penn Economics Department. [Downloadable!]
21. Christopher J. Neely, 2001. "Risk-adjusted, ex ante, optimal technical trading rules in equity markets," Working Papers 1999-015, Federal Reserve Bank of St. Louis. [Downloadable!]
    Other versions:
    • Neely, Christopher J., 2003. "Risk-adjusted, ex ante, optimal technical trading rules in equity markets," International Review of Economics & Finance, Elsevier, vol. 12(1), pages 69-87. [Downloadable!] (restricted)

Did you know? Data contributors to RePEc receive monthly emails with details about downloads and abstract views of their works.

This page was last updated on 2009-11-7.