Random walk down the set, can we really beat the market using technical analysis?.

dc.contributor.authorJiranart Sutthiraten_US
dc.contributor.otherMahidol University. Internationa College. Business Administration Division.en_US
dc.date.accessioned2015-01-27T08:23:54Z
dc.date.accessioned2018-11-20T02:02:17Z
dc.date.available2015-01-27T08:23:54Z
dc.date.available2018-11-20T02:02:17Z
dc.date.created2015-01-27
dc.date.issued2007
dc.descriptionResearch Seminar on Research for MUIC Development, Mahidol University International College, Thailand. January 19, 2007
dc.description.abstractThis study examines the potential benefit of employing the most commonly used Technical trading strategies on the Thai stock market. The study is based on the Stock Exchange of Thailand (SET) Index over the period of April 1975 to April 2006. Two hundreds and eighty eight different moving average and eighty different trading range break trading models are assessed. The findings reveal the predictive ability of technical trading rules. In the presence of transaction costs which are measured through our new method, results show that both variable-length and fixed-length moving average rules generate extra returns as compared to the buy-and-hold strategy. The trading-range-break rules, even though have return predictability, in some cases underperform the buy-and-hold strategy due to an inability to generate enough return to compensate for the commission fee.en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/35009
dc.language.isoengen_US
dc.rightsMahidol Universityen_US
dc.subjectMarket efficiencyen_US
dc.subjectRandom walken_US
dc.subjectTechnical analysisen_US
dc.titleRandom walk down the set, can we really beat the market using technical analysis?.en_US
dc.typeProceeding Booken_US

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