IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!) to save this paper

The Interaction Between the Aggregate Behaviour of Technical Trading Systems and Stock Price Dynamics

  • Stephan Schulmeister

    (WIFO)

This study analyses the interaction between the aggregate trading behaviour of technical models and stock price fluctuations in the S&P 500 futures market. It examines 2,580 widely used trading systems based on 30-minutes prices. The sample comprises trend-following as well as contrarian models. It shows that technical trading exerts an excess demand pressure on the stock market. This is because technical models produce clusters of trading signals that are on the same side of the market, either buying or selling. Initial stock price changes triggered by news are strengthened by a sequence of trading signals produced by trend-following models. Once 90 percent of the models have signalled a particular position, stock prices tend to move in the direction congruent with the position-holding of the models. This phenomenon has to be attributed to the transactions of non-technical traders, perhaps amateurs. Once price movements lose their momentum, contrarian technical models contribute to reversals of the trend.

If you experience problems downloading a file, check if you have the proper application to view it first. 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.

File URL: http://www.wifo.ac.at/wwa/pubid/28641
File Function: Abstract
Download Restriction: no

Paper provided by WIFO in its series WIFO Working Papers with number 290.

as
in new window

Length: 31 pages
Date of creation: 02 Apr 2007
Date of revision:
Handle: RePEc:wfo:wpaper:y:2007:i:290
Contact details of provider: Postal:
Arsenal Object 20, A-1030 Wien

Phone: (+43 1) 798 26 01-0
Fax: (+43 1) 798 93 86
Web page: http://www.wifo.ac.at/

More information through EDIRC

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.:

as in new window
  1. Nicholas Barberis & Richard Thaler, 2002. "A Survey of Behavioral Finance," NBER Working Papers 9222, National Bureau of Economic Research, Inc.
  2. Cars Hommes & Carl Chiarella & Xue-Zhong He, 2004. "A Dynamical Analysis of Moving Average Rules," Computing in Economics and Finance 2004 238, Society for Computational Economics.
  3. De Long, J. Bradford & Shleifer, Andrei & Summers, Lawrence H. & Waldmann, Robert J., 1990. "Noise Trader Risk in Financial Markets," Scholarly Articles 3725552, Harvard University Department of Economics.
  4. LeBaron, B., 1996. "Technical Trading Rule Profitability and Foreing Exchange Intervention," Working papers 9445r, Wisconsin Madison - Social Systems.
  5. John H. Cochrane, 1999. "New facts in finance," Economic Perspectives, Federal Reserve Bank of Chicago, issue Q III, pages 36-58.
  6. L. Menkhoff & M. Schlumberger, 1995. "Persistent profitability of technical analysis on foreign exchange markets?," Banca Nazionale del Lavoro Quarterly Review, Banca Nazionale del Lavoro, vol. 48(193), pages 189-215.
  7. 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.
  8. Brock, W.A. & Hommes, C.H. & Wagener, F.O.O., 2002. "Evolutionary dynamics in markets with many trader types," CeNDEF Working Papers 02-10, Universiteit van Amsterdam, Center for Nonlinear Dynamics in Economics and Finance.
  9. Lo, Andrew W. (Andrew Wen-Chuan) & MacKinlay, Archie Craig, 1955-., 1989. "When are contrarian profits due to stock market overreaction?," Working papers 3008-89., Massachusetts Institute of Technology (MIT), Sloan School of Management.
  10. Yin-Wong Cheung & Menzie D. Chinn & Ian W. Marsh, 2000. "How Do UK-Based Foreign Exchange Dealers Think Their Market Operates?," NBER Working Papers 7524, National Bureau of Economic Research, Inc.
  11. Yin-Wong Cheung & Menzie D. Chinn, 2000. "Currency Traders and Exchange Rate Dynamics: A Survey of the U.S. Market," CESifo Working Paper Series 251, CESifo Group Munich.
  12. 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.
  13. Gehrig, Thomas & Menkhoff, Lukas, 2004. "The use of flow analysis in foreign exchange: exploratory evidence," Journal of International Money and Finance, Elsevier, vol. 23(4), pages 573-594, June.
  14. Franklin Allen & Stephen Morris & Hyun Song Shin, 2003. "Beauty Contests, Bubbles and Iterated Expectations in Asset Markets," NajEcon Working Paper Reviews 391749000000000553, www.najecon.org.
  15. Cheung, Yin-Wong & Wong, Clement Yuk-Pang, 2000. "A survey of market practitioners' views on exchange rate dynamics," Journal of International Economics, Elsevier, vol. 51(2), pages 401-419, August.
  16. Fernandez-Rodriguez, Fernando & Gonzalez-Martel, Christian & Sosvilla-Rivero, Simon, 2000. "On the profitability of technical trading rules based on artificial neural networks:: Evidence from the Madrid stock market," Economics Letters, Elsevier, vol. 69(1), pages 89-94, October.
  17. Christopher J. Neely & Paul A. Weller, 1998. "Technical trading rules in the European Monetary System," Working Papers 1997-015, Federal Reserve Bank of St. Louis.
  18. Gehrig, Thomas & Menkhoff,Lukas, 2004. "The Rise of Fund Managers in Foreign Exchange: Will Fundamentals Ultimately Dominate?," Hannover Economic Papers (HEP) dp-308, Leibniz Universität Hannover, Wirtschaftswissenschaftliche Fakultät.
  19. Lillyn L. Teh & Werner F. M. de Bondt, 1997. "Herding Behavior and Stock Returns: An Exploratory Investigation," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 133(II), pages 293-324, June.
  20. Stephan Schulmeister, 2005. "The Interaction between Technical Currency Trading and Exchange Rate Fluctuations," Finance 0512033, EconWPA.
  21. William N. Goetzmann & Massimo Massa, 1999. "Daily Momentum And Contrarian Behavior Of Index Fund Investors," Yale School of Management Working Papers ysm13, Yale School of Management.
  22. Robert J. Shiller, 1998. "Human Behavior and the Efficiency of the Financial System," Cowles Foundation Discussion Papers 1172, Cowles Foundation for Research in Economics, Yale University.
  23. Christopher J. Neely & Paul A. Weller, 2001. "Intraday technical trading in the foreign exchange market," Working Papers 1999-016, Federal Reserve Bank of St. Louis.
  24. David M. Cutler & James M. Poterba & Lawrence H. Summers, 1990. "Speculative Dynamics," NBER Working Papers 3242, National Bureau of Economic Research, Inc.
  25. John Y. Campbell, 2000. "Asset Pricing at the Millennium," Journal of Finance, American Finance Association, vol. 55(4), pages 1515-1567, 08.
  26. Fernando Fernandez-Rodriguez & Christian Gonzalez-Martel & Simon Sosvilla-Rivero, 2005. "Optimization of technical rules by genetic algorithms: evidence from the Madrid stock market," Applied Financial Economics, Taylor & Francis Journals, vol. 15(11), pages 773-775.
  27. Wing-Keung Wong & Meher Manzur & Boon-Kiat Chew, 2002. "How Rewarding Is Technical Analysis? Evidence From Singapore Stock Market," Departmental Working Papers wp0216, National University of Singapore, Department of Economics.
  28. Brock, W.A. & Hommes, C.H., 1996. "Hetergeneous Beliefs and Routes to Chaos in a Simple Asset Pricing Model," Working papers 9621, Wisconsin Madison - Social Systems.
  29. Stephan Schulmeister, 2008. "Components of the profitability of technical currency trading," Applied Financial Economics, Taylor & Francis Journals, vol. 18(11), pages 917-930.
  30. Gunasekarage, Abeyratna & Power, David M., 2001. "The profitability of moving average trading rules in South Asian stock markets," Emerging Markets Review, Elsevier, vol. 2(1), pages 17-33, March.
  31. Neely, Christopher J. & Weller, Paul A. & Ulrich, Joshua M., 2009. "The Adaptive Markets Hypothesis: Evidence from the Foreign Exchange Market," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 44(02), pages 467-488, April.
  32. Shleifer, Andrei, 2000. "Inefficient Markets: An Introduction to Behavioral Finance," OUP Catalogue, Oxford University Press, number 9780198292272, December.
  33. Bertrand Maillet & Thierry Michel, 2000. "Further Insights on the Puzzle of Technical Analysis Profitability," Université Paris1 Panthéon-Sorbonne (Post-Print and Working Papers) hal-00308986, HAL.
  34. Kent Daniel & David Hirshleifer & Avanidhar Subrahmanyam, 1998. "Investor Psychology and Security Market Under- and Overreactions," Journal of Finance, American Finance Association, vol. 53(6), pages 1839-1885, December.
  35. Chang, P H Kevin & Osler, Carol L, 1999. "Methodical Madness: Technical Analysis and the Irrationality of Exchange-Rate Forecasts," Economic Journal, Royal Economic Society, vol. 109(458), pages 636-61, October.
  36. Barberis, Nicholas & Shleifer, Andrei & Vishny, Robert, 1998. "A model of investor sentiment," Journal of Financial Economics, Elsevier, vol. 49(3), pages 307-343, September.
  37. Chan, K C, 1988. "On the Contrarian Investment Strategy," The Journal of Business, University of Chicago Press, vol. 61(2), pages 147-63, April.
  38. Hommes, Cars H., 2006. "Heterogeneous Agent Models in Economics and Finance," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 23, pages 1109-1186 Elsevier.
  39. Park, Cheol-Ho & Irwin, Scott H., 2004. "The Profitability of Technical Analysis: A Review," AgMAS Project Research Reports 37487, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics.
  40. Goldberg, Michael & Schulmeister, Stephen, 1988. "Technical Analysis And Stock Market Efficiency," Working Papers 88-21, C.V. Starr Center for Applied Economics, New York University.
  41. Kenneth A. Froot & David S. Scharfstein & Jeremy C. Stein, 1990. "Herd on the Street: Informational Inefficiencies in a Market with Short-Term Speculation," NBER Working Papers 3250, National Bureau of Economic Research, Inc.
  42. David Hirshleifer & Tyler Shumway, 2003. "Good Day Sunshine: Stock Returns and the Weather," Journal of Finance, American Finance Association, vol. 58(3), pages 1009-1032, 06.
  43. J. Bradford De Long & Andrei Shleifer & Lawrence H. Summers & Robert J. Waldmann, 1989. "Positive Feedback Investment Strategies and Destabilizing Rational Speculation," NBER Working Papers 2880, National Bureau of Economic Research, Inc.
  44. LeBaron, Blake, 2006. "Agent-based Computational Finance," Handbook of Computational Economics, in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 24, pages 1187-1233 Elsevier.
  45. Gencay, Ramazan, 1999. "Linear, non-linear and essential foreign exchange rate prediction with simple technical trading rules," Journal of International Economics, Elsevier, vol. 47(1), pages 91-107, February.
  46. Levich, Richard M. & Thomas, Lee III, 1993. "The significance of technical trading-rule profits in the foreign exchange market: a bootstrap approach," Journal of International Money and Finance, Elsevier, vol. 12(5), pages 451-474, October.
  47. Nicholas Barberis & Ming Huang & Tano Santos, 2001. "Prospect Theory and Asset Prices," The Quarterly Journal of Economics, Oxford University Press, vol. 116(1), pages 1-53.
  48. De Bondt, Werner F M & Thaler, Richard, 1985. " Does the Stock Market Overreact?," Journal of Finance, American Finance Association, vol. 40(3), pages 793-805, July.
  49. Okunev, John & White, Derek, 2003. "Do Momentum-Based Strategies Still Work in Foreign Currency Markets?," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 38(02), pages 425-447, June.
  50. Peter Sorensen & Marco Ottaviani, 2000. "Herd Behavior and Investment: Comment," American Economic Review, American Economic Association, vol. 90(3), pages 695-704, June.
  51. Yung-Ho Chang & Massoud Metghalchi & Chia-Chung Chan, 2006. "Technical trading strategies and cross-national information linkage: the case of Taiwan stock market," Applied Financial Economics, Taylor & Francis Journals, vol. 16(10), pages 731-743.
  52. Stephan Schulmeister, 2007. "The Profitability of Technical Stock Trading has Moved from Daily to Intraday Data," WIFO Working Papers 289, WIFO.
  53. Stephan Schulmeister, 2007. "Performance of Technical Trading Systems in the Yen/Dollar Market," WIFO Working Papers 291, WIFO.
  54. De Bondt, Werner F M & Thaler, Richard H, 1987. " Further Evidence on Investor Overreaction and Stock Market Seasonalit y," Journal of Finance, American Finance Association, vol. 42(3), pages 557-81, July.
  55. 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.
  56. Thomas Gehrig & Lukas Menkhoff, 2006. "Extended evidence on the use of technical analysis in foreign exchange," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 11(4), pages 327-338.
  57. Fama, Eugene F. & French, Kenneth R., 1989. "Business conditions and expected returns on stocks and bonds," Journal of Financial Economics, Elsevier, vol. 25(1), pages 23-49, November.
  58. Sendhil Mullainathan & Richard H. Thaler, 2000. "Behavioral Economics," NBER Working Papers 7948, National Bureau of Economic Research, Inc.
  59. Kent Daniel & Sheridan Titman, 2000. "Market Efficiency in an Irrational World," NBER Working Papers 7489, National Bureau of Economic Research, Inc.
  60. Stephan Schulmeister, 1988. "Currency speculation and dollar fluctuations," BNL Quarterly Review, Banca Nazionale del Lavoro, vol. 41(167), pages 343-365.
  61. Carol L. Osler, 2000. "Support for resistance: technical analysis and intraday exchange rates," Economic Policy Review, Federal Reserve Bank of New York, issue Jul, pages 53-68.
  62. Chan, Louis K C & Jegadeesh, Narasimhan & Lakonishok, Josef, 1996. " Momentum Strategies," Journal of Finance, American Finance Association, vol. 51(5), pages 1681-1713, December.
  63. Olson, Dennis, 2004. "Have trading rule profits in the currency markets declined over time?," Journal of Banking & Finance, Elsevier, vol. 28(1), pages 85-105, January.
  64. Ki-Yeol Kwon & Richard Kish, 2002. "Technical trading strategies and return predictability: NYSE," Applied Financial Economics, Taylor & Francis Journals, vol. 12(9), pages 639-653.
  65. Christopher J. Neely, 1997. "Technical analysis in the foreign exchange market: a layman's guide," Review, Federal Reserve Bank of St. Louis, issue Sep, pages 23-38.
  66. Fama, Eugene F, 1970. "Efficient Capital Markets: A Review of Theory and Empirical Work," Journal of Finance, American Finance Association, vol. 25(2), pages 383-417, May.
  67. Carol L. Osler, 2006. "Macro lessons from microstructure," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 11(1), pages 55-80.
  68. Stephan Schulmeister, 2007. "Aggregate Trading Behavior of Technical Models and the Yen/Dollar Exchange Rate," WIFO Working Papers 294, WIFO.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:wfo:wpaper:y:2007:i:290. 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: (Ilse Schulz)

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with this form.

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.