Back to the future: an empirical investigation into the validity of stock index models over time
The use of technical analysis to predict security price movements from past price series has been supported by a number of academic research studies. These studies are broadly based on the premise that a technical trading rule should have constant validity over time. This premise is in accord with the practitioner rational for technical analysis, which is that, in the securities markets, history tends to repeat itself due to the relative constancy of human behaviour. The primary purpose of this paper is to investigate the extent to which technical trading rules have constant validity over time by determining the extent to which rules derived entirely from a particular time period can have validity over a variety of different time periods. It is found that rules derived from the data from the early period can be predictive at a later date and, rather unexpectedly, can even exceed the predictive power of rules derived from more contemporary data. It is hypothesized that this may be due to a decreasing signal to noise ratio in the data as the volatility of the index increases over time. The findings tend to support the assertion that, with respect to share trading, 'history repeats itself' with the caveat that there are factors that confound modelling in later periods.
Volume (Year): 14 (2004)
Issue (Month): 3 ()
|Contact details of provider:|| Web page: http://www.tandfonline.com/RAFE20|
|Order Information:||Web: http://www.tandfonline.com/pricing/journal/RAFE20|
References listed on IDEAS
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.:
- Brock, William & Lakonishok, Josef & LeBaron, Blake, 1992.
" Simple Technical Trading Rules and the Stochastic Properties of Stock Returns,"
Journal of Finance,
American Finance Association, vol. 47(5), pages 1731-64, December.
- Brock, W. & Lakonishok, J. & Lebaron, B., 1991. "Simple Technical Trading Rules And The Stochastic Properties Of Stock Returns," Working papers 90-22, Wisconsin Madison - Social Systems.
- Neely, Christopher & Weller, Paul & Dittmar, Rob, 1997.
"Is Technical Analysis in the Foreign Exchange Market Profitable? A Genetic Programming Approach,"
Journal of Financial and Quantitative Analysis,
Cambridge University Press, vol. 32(04), pages 405-426, December.
- Dittmar, Robert & Neely, Christopher J & Weller, Paul, 1996. "Is Technical Analysis in the Foreign Exchange Market Profitable? A Genetic Programming Approach," CEPR Discussion Papers 1480, C.E.P.R. Discussion Papers.
- Christopher J. Neely & Paul A. Weller & Robert Dittmar, 1997. "Is technical analysis in the foreign exchange market profitable? a genetic programming approach," Working Papers 1996-006, Federal Reserve Bank of St. Louis.
- Franklin Allen & Risto Karjalainen, . "Using Genetic Algorithms to Find Technical Trading Rules (Revised: 20-95)," Rodney L. White Center for Financial Research Working Papers 20-93, Wharton School Rodney L. White Center for Financial Research.
- Taylor, Mark P. & Allen, Helen, 1992. "The use of technical analysis in the foreign exchange market," Journal of International Money and Finance, Elsevier, vol. 11(3), pages 304-314, June.
When requesting a correction, please mention this item's handle: RePEc:taf:apfiec:v:14:y:2004:i:3:p:209-214. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Michael McNulty)
If references are entirely missing, you can add them using this form.