Testing the Effect of Technical Analysis Strategies on Achieving Abnormal Return: Evidence from Egyptian Stock Market
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Kwang-il Choe & Joshua Krausz & Kiseok Nam, 2011. "Technical trading rules for nonlinear dynamics of stock returns: evidence from the G-7 stock markets," Review of Quantitative Finance and Accounting, Springer, vol. 36(3), pages 323-353, April.
- Thomas S. Coe & Kittipong Laosethakul, 2010. "Should Individual Investors Use Technical Trading Rules to Attempt to Beat the Market?," American Journal of Economics and Business Administration, Science Publications, vol. 2(3), pages 201-209, September.
- J. Kung, James & Wong, Wing-Keung, 2009. "Profitability of Technical Analysis in the Singapore Stock Market: before and after the Asian Financial Crisis," Journal of Economic Integration, Center for Economic Integration, Sejong University, vol. 24, pages 135-150.
- Ben Marshall & Sun Qian & Martin Young, 2009. "Is technical analysis profitable on US stocks with certain size, liquidity or industry characteristics?," Applied Financial Economics, Taylor & Francis Journals, vol. 19(15), pages 1213-1221.
- Anirut Pisedtasalasai & Abeyratna Gunasekarage, 2007. "Causal and Dynamic Relationships among Stock Returns, Return Volatility and Trading Volume: Evidence from Emerging markets in South-East Asia," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 14(4), pages 277-297, December.
- Dedhy Sulistiawan & Jogiyanto Hartono, 2014. "Can Technical Analysis Signals Detect Price Reactions Around Earnings Announcement?: Evidence from Indonesia," The International Journal of Business and Finance Research, The Institute for Business and Finance Research, vol. 8(1), pages 113-123.
- Lee, Cheng F & Rui, Oliver M, 2000. "Does Trading Volume Contain Information to Predict Stock Returns? Evidence from China's Stock Markets," Review of Quantitative Finance and Accounting, Springer, vol. 14(4), pages 341-360, June.
- Park, Cheol-Ho & Irwin, Scott H., 2004.
"The Profitability Of Technical Trading Rules In Us Futures Markets: A Data Snooping Free Test,"
2004 Conference, April 19-20, 2004, St. Louis, Missouri
19011, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
- Park, Cheol-Ho & Irwin, Scott H., 2005. "The Profitability of Technical Trading Rules in US Futures Markets: A Data Snooping Free Test," AgMAS Project Research Reports 14771, University of Illinois at Urbana-Champaign, Department of Agricultural and Consumer Economics.
- Marshall, Ben & Young, Martin & Rose, Lawrence, 2007. "Market timing with candlestick technical analysis," Journal of Financial Transformation, Capco Institute, vol. 20, pages 18-25.
- Isakov, Dusan & Marti, Didier, 2011. "Technical Analysis with a Long-Term Perspective: Trading Strategies and Market Timing Ability," FSES Working Papers 421, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
- G. Caginalp & H. Laurent, 1998. "The predictive power of price patterns," Applied Mathematical Finance, Taylor & Francis Journals, vol. 5(3-4), pages 181-205.
- Ben Marshall & Martin Young & Rochester Cahan, 2008. "Are candlestick technical trading strategies profitable in the Japanese equity market?," Review of Quantitative Finance and Accounting, Springer, vol. 31(2), pages 191-207, August.
- Ferhan Salman, 2002. "Risk-return-volume relationship in an emerging stock market," Applied Economics Letters, Taylor & Francis Journals, vol. 9(8), pages 549-552.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Piyapas Tharavanij & Vasan Siraprapasiri & Kittichai Rajchamaha, 2017. "Profitability of Candlestick Charting Patterns in the Stock Exchange of Thailand," SAGE Open, , vol. 7(4), pages 21582440177, October.
- Zhu, Min & Atri, Said & Yegen, Eyub, 2016. "Are candlestick trading strategies effective in certain stocks with distinct features?," Pacific-Basin Finance Journal, Elsevier, vol. 37(C), pages 116-127.
- Huiwen Wang & Wenyang Huang & Shanshan Wang, 2021. "Forecasting open-high-low-close data contained in candlestick chart," Papers 2104.00581, arXiv.org.
- Chen, Shi & Bao, Si & Zhou, Yu, 2016. "The predictive power of Japanese candlestick charting in Chinese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 457(C), pages 148-165.
- Lu, Tsung-Hsun & Shiu, Yung-Ming & Liu, Tsung-Chi, 2012. "Profitable candlestick trading strategies—The evidence from a new perspective," Review of Financial Economics, Elsevier, vol. 21(2), pages 63-68.
- Tsung‐Hsun Lu & Yung‐Ming Shiu & Tsung‐Chi Liu, 2012. "Profitable candlestick trading strategies—The evidence from a new perspective," Review of Financial Economics, John Wiley & Sons, vol. 21(2), pages 63-68, April.
- Gil Cohen, 2022. "Artificial Intelligence in Trading the Financial Markets," International Journal of Economics & Business Administration (IJEBA), International Journal of Economics & Business Administration (IJEBA), vol. 0(1), pages 101-110.
- Tsung-Hsun Lu & Yung-Ming Shiu, 2012. "Tests for Two-Day Candlestick Patterns in the Emerging Equity Market of Taiwan," Emerging Markets Finance and Trade, Taylor & Francis Journals, vol. 48(0), pages 41-57, January.
- Zhu, Hong & Jiang, Zhi-Qiang & Li, Sai-Ping & Zhou, Wei-Xing, 2015.
"Profitability of simple technical trading rules of Chinese stock exchange indexes,"
Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 439(C), pages 75-84.
- Hong Zhu & Zhi-Qiang Jiang & Sai-Ping Li & Wei-Xing Zhou, 2015. "Profitability of simple technical trading rules of Chinese stock exchange indexes," Papers 1504.04254, arXiv.org.
- Park, Jin Suk & Newaz, Mohammad Khaleq, 2021. "Liquidity and short-run predictability: Evidence from international stock markets," Global Finance Journal, Elsevier, vol. 50(C).
- Gil Cohen, 2020. "Best Candlesticks Pattern to Trade Stocks," International Journal of Economics and Financial Issues, Econjournals, vol. 10(2), pages 256-261.
- Lu, Tsung-Hsun, 2014. "The profitability of candlestick charting in the Taiwan stock market," Pacific-Basin Finance Journal, Elsevier, vol. 26(C), pages 65-78.
- Panpan Wang & Tsungwu Ho & Yishi Li, 2020. "The Price-Volume Relationship of the Shanghai Stock Index: Structural Change and the Threshold Effect of Volatility," Sustainability, MDPI, vol. 12(8), pages 1-17, April.
- Lu, Tsung-Hsun & Chen, Yi-Chi & Hsu, Yu-Chin, 2015. "Trend definition or holding strategy: What determines the profitability of candlestick charting?," Journal of Banking & Finance, Elsevier, vol. 61(C), pages 172-183.
- Gil Cohen, 2021. "Optimizing candlesticks patterns for Bitcoin's trading systems," Review of Quantitative Finance and Accounting, Springer, vol. 57(3), pages 1155-1167, October.
- Bajzik, Josef, 2021.
"Trading volume and stock returns: A meta-analysis,"
International Review of Financial Analysis, Elsevier, vol. 78(C).
- Josef Bajzik, 2020. "Trading Volume and Stock Returns: A Meta-Analysis," Working Papers IES 2020/45, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, revised Dec 2020.
- Ngene, Geoffrey M. & Mungai, Ann Nduati, 2022. "Stock returns, trading volume, and volatility: The case of African stock markets," International Review of Financial Analysis, Elsevier, vol. 82(C).
- Shyh-Wei Chen, 2008. "Untangling the nexus of stock price and trading volume: evidence from the Chinese stock market," Economics Bulletin, AccessEcon, vol. 7(15), pages 1-16.
- Gebka, Bartosz & Wohar, Mark E., 2013. "Causality between trading volume and returns: Evidence from quantile regressions," International Review of Economics & Finance, Elsevier, vol. 27(C), pages 144-159.
- Rodrigo Aranda & Patricio Jaramillo, 2008. "Nonlinear Dynamic in the Chilean Stock Market: Evidence from Returns and Trading Volume," Working Papers Central Bank of Chile 463, Central Bank of Chile.
More about this item
JEL classification:
- R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
- Z0 - Other Special Topics - - General
Statistics
Access and download statisticsCorrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jfr:afr111:v:6:y:2017:i:2:p:26. See general information about how to correct material in RePEc.
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 CitEc recognized a bibliographic reference but did not link an item in RePEc 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 RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sciedu Press (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.