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Predictive ability and profitability of simple technical trading rules: Recent evidence from Southeast Asian stock markets
This study investigates whether the moving average and trading range breakout rules can forecast stock price movements and outperform a simple buy-and-hold strategy after adjusting for transaction costs over the period from January 1991 to December 2008. The empirical results show that the trading r...
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Published in: | International review of economics & finance 2013-01, Vol.25, p.356-371 |
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Main Authors: | , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | This study investigates whether the moving average and trading range breakout rules can forecast stock price movements and outperform a simple buy-and-hold strategy after adjusting for transaction costs over the period from January 1991 to December 2008. The empirical results show that the trading rules have stronger predictive power in the emerging stock markets of Malaysia, Thailand, Indonesia, and the Philippines than in the more developed stock market of Singapore consistent with earlier studies. In addition, the short-term variants of the technical trading rules have better predictive ability than long-term variants. However, unlike earlier studies we show that transaction costs can eliminate the trading profits implying weak-form efficiency in most stock markets during our study period further suggesting that these markets have become more informationally efficient over time. Our results highlight the need to constantly revisit statements about the efficiency of economically dynamic and rapidly growing emerging stock markets.
► Trading rules have stronger predictive power in the emerging stock markets. ► Short-term variants of the technical trading rules have better predictive ability. ► Transaction costs eliminate trading profits implying weak-form efficiency. ► Need to constantly revisit efficiency of growing emerging stock markets |
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ISSN: | 1059-0560 1873-8036 |
DOI: | 10.1016/j.iref.2012.07.016 |