Repkine, Alexandre (2008): Charting Technical Trading Rules and the Lottery of Technical Analysis: Empirical Evidence from Foreign Exchange Market.
Preview |
PDF
MPRA_paper_7849.pdf Download (304kB) | Preview |
Abstract
We use trend-following, trend continuation and trend reversal pattern recognition techniques to apply technical charting rules to trading seven major currency pairs for the period of 1999 through early 2007. Our results suggest that the persistent popularity of technical analysis among practicing traders may be the result of a “lottery” wherein most of the participants end up with zero profits. However, the rest of the participants are much more likely to end up winning rather than losing. In this way, the popularity of technical trading rules may co-exist with the validity of market efficiency hypothesis.
Item Type: | MPRA Paper |
---|---|
Original Title: | Charting Technical Trading Rules and the Lottery of Technical Analysis: Empirical Evidence from Foreign Exchange Market |
Language: | English |
Keywords: | market efficiency; technical analysis; forecasting; foreign exchange markets |
Subjects: | G - Financial Economics > G1 - General Financial Markets > G14 - Information and Market Efficiency ; Event Studies ; Insider Trading G - Financial Economics > G1 - General Financial Markets > G11 - Portfolio Choice ; Investment Decisions |
Item ID: | 7849 |
Depositing User: | Alexandre Repkine |
Date Deposited: | 21 Mar 2008 06:13 |
Last Modified: | 29 Sep 2019 00:50 |
References: | Alexander, S.S. (1964) Price movement in speculative markets: trends or random walks. In P. Cootner (Eds) The random character of stock market prices, Cambridge, Mass. MIT Press DeBondt, W., and Thaler (1985), Does the stock market overreact? Journal of Finance, 40, 793-805 Duda, R., and Hart, P., (1973), Pattern classification and scene analysis, New York, Wiley. Fama, E.F., (1970), Efficient capital markets: a review of theory and empirical work, Journal of Finance, 25, 383-423 Fama, E.F., and Blume, M.E. (1966) Filter rules and stock market trading profits, Journal of Business, 39, 226-241 Jegadeesh, N., and Titman, S., (1993) Returns to buying winners and selling losers: implications for stock market efficiency, Journal of Finance, 48, 65-91 Leigh, W., Modani, N., Purvis, R., Roberts, T., (2002) Stock market trading rule discovery using technical charting heuristics, Expert Systems with Applications, 23(2), 155-159 Leigh, W., Hightower, R., Modani, N., (2005), Forecasting the New York stock exchange composite index with past price and interest rate on condition of volume spike, Expert Systems with Applications, 28, 1, January 2005, pp. 1-8 Levin, J.H. (1997). Chartists, fundamentalists and exchange rate dynamics, International Journal of Finance and Economics, 2(4), 281-290 Luca, C. (2000), Trading in the Global Currency Markets, New York: New York Institute of Finance Reitz, S., (2006), On the predictive content of technical analysis, The North American Journal of Economics and Finance, 17(2), 121-137 Sharpe, W.F., Alexander, G.J., and Bailey, J.V. (1995), Investments system for portfolio construction, Englewood Cliffs, New Jersey: Prentice Hall, Inc. Wang, J.L., and Chang, S.H., (2007), Stock market trading rule discovery using pattern recognition and technical analysis, Expert Systems with Applications, 33, 304-315 |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/7849 |