Issue |
SHS Web Conf.
Volume 34, 2017
The 17th Annual Conference of the Asian Academic Accounting Association (2016 FourA Conference)
|
|
---|---|---|
Article Number | 07009 | |
Number of page(s) | 7 | |
Section | Financial Accounting and Reporting | |
DOI | https://doi.org/10.1051/shsconf/20173407009 | |
Published online | 14 February 2017 |
Is candlestick continuation patterns applicable in Malaysian stock market?
Department of Accounting and Finance, Universiti Malaysia Sarawak, Jalan Dato Mohd Musa, 94300 Kota Samarahan, Sarawak, Malaysia
* Corresponding author: cheelingchin26@gmail.com
Technical analysis is deemed to be an anathema to the modern finance theory as it contradicts with the efficient market hypothesis, typically the weak form market efficiency which forbids the utilization of past prices and trading volume data to predict future market movement. However, the technical indicator of candlestick trading strategy is widely applied by traders for short term investment. This study thus investigates on the predictive power of candlestick charting which concentrates on the application of continuation patterns in Malaysian stock market from 2000 to 2014. Skewness adjusted t-test is employed to test the statistical significance of candlesticks’ profitability. After taking into account the transaction costs, sub-sample, and out-of-sample test, the findings show that only Falling Window pattern after a prevailing downtrend shows predictive power with bearish signals indicated significantly during the 5-day holding period.
© The Authors, published by EDP Sciences, 2017
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.