Price exhaustion and number preference: time and price confluence in Australian stock prices
Confluence occurs when different trading filters generate signals that point to the same directional move. Using regression analysis, this paper investigates confluence trading signals associated with number preference and price exhaustion, for a sample of Australian stocks. The results show that certain price levels tend to act as psychological barriers, and that price exhaustion signals are a real phenomenon in the Australian stock market. It is shown also that confluence exists in the Australian stock market. Importantly, confluence is associated with price retracements that are of economic and statistical significance, offering profitable trading opportunities. The results suggest that Australian stocks do not follow a random walk.
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.
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.
Volume (Year): 11 (2005)
Issue (Month): 3 ()
|Contact details of provider:|| Web page: http://www.tandfonline.com/REJF20|
|Order Information:||Web: http://www.tandfonline.com/pricing/journal/REJF20|
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.:
- Bong-Chan, Kho, 1996. "Time-varying risk premia, volatility, and technical trading rule profits: Evidence from foreign currency futures markets," Journal of Financial Economics, Elsevier, vol. 41(2), pages 249-290, June.
- Koedijk, Kees G. & Stork, Philip A., 1994. "Should we care? psychological barriers in stock markets," Economics Letters, Elsevier, vol. 44(4), pages 427-432, April.
- Spyros Skouras, 1998.
"Financial Returns and Efficiency as seen by an Artificial Technical Analyst,"
9808001, EconWPA, revised 24 Aug 1998.
- 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.
- LeBaron, B., 1996.
"Technical Trading Rule Profitability and Foreing Exchange Intervention,"
9445r, Wisconsin Madison - Social Systems.
- LeBaron, Blake, 1999. "Technical trading rule profitability and foreign exchange intervention," Journal of International Economics, Elsevier, vol. 49(1), pages 125-143, October.
- Blake LeBaron, 1994. "Technical Trading Rule Profitability and Foreign Exchange Intervention," International Finance 9411002, EconWPA.
- Blake LeBaron, 1996. "Technical Trading Rule Profitability and Foreign Exchange Intervention," NBER Working Papers 5505, National Bureau of Economic Research, Inc.
- Blake LeBaron, . "Technical Trading Rule Profitability and Foreign Exchange Intervention," Working papers _002, University of Wisconsin - Madison.
- 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.
- Henriksson, Roy D & Merton, Robert C, 1981. "On Market Timing and Investment Performance. II. Statistical Procedures for Evaluating Forecasting Skills," The Journal of Business, University of Chicago Press, vol. 54(4), pages 513-33, October.
- Gencay, Ramazan, 1998. "Optimization of technical trading strategies and the profitability in security markets," Economics Letters, Elsevier, vol. 59(2), pages 249-254, May.
- Martin, Anna D., 2001. "Technical trading rules in the spot foreign exchange markets of developing countries," Journal of Multinational Financial Management, Elsevier, vol. 11(1), pages 59-68, February.
- 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.
- Donaldson, R. Glen & Kim, Harold Y., 1993. "Price Barriers in the Dow Jones Industrial Average," Journal of Financial and Quantitative Analysis, Cambridge University Press, vol. 28(03), pages 313-330, September.
- Pesaran, M.H. & Timmermann, A., 1990.
"A Simple, Non-Parametric Test Of Predictive Performance,"
Cambridge Working Papers in Economics
9021, Faculty of Economics, University of Cambridge.
- Pesaran, M Hashem & Timmermann, Allan, 1992. "A Simple Nonparametric Test of Predictive Performance," Journal of Business & Economic Statistics, American Statistical Association, vol. 10(4), pages 561-65, October.
- Pesaran, M.H. & Timmermann, A., 1990. "A Simple Non-Parametric Test Of Predictive Performance," Papers 29, California Los Angeles - Applied Econometrics.
- 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.
- Eduardo Ley & Hal R. Varian, 1994. "Are there Psychological Barriers in the Dow-Jones Index?," Finance 9401002, EconWPA, revised 27 Oct 2001.
- Robert I. Webb & Jason Mitchell, 2001. "Clustering and psychological barriers: the importance of numbers," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 21(5), pages 395-428, 05.
- Devenow, Andrea & Welch, Ivo, 1996. "Rational herding in financial economics," European Economic Review, Elsevier, vol. 40(3-5), pages 603-615, April.
- Aitken, Michael & Brown, Philip & Buckland, Christine & Izan, H. Y. & Walter, Terry, 1996. "Price clustering on the Australian Stock Exchange," Pacific-Basin Finance Journal, Elsevier, vol. 4(2-3), pages 297-314, July.
- De Ceuster, Marc J. K. & Dhaene, Geert & Schatteman, Tom, 1998. "On the hypothesis of psychological barriers in stock markets and Benford's Law," Journal of Empirical Finance, Elsevier, vol. 5(3), pages 263-279, September.
- Badi H. Baltagi & James M. Griffin & Weiwen Xiong, 2000. "To Pool Or Not To Pool: Homogeneous Versus Hetergeneous Estimations Applied to Cigarette Demand," The Review of Economics and Statistics, MIT Press, vol. 82(1), pages 117-126, February.
When requesting a correction, please mention this item's handle: RePEc:taf:eurjfi:v:11:y:2005:i:3:p:207-221. 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.