Measuring abnormal returns on day trading : use of technical analysis

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dc.contributor.advisor Boabang, Francis
dc.coverage.spatial United States
dc.creator Ma, Rui
dc.date.accessioned 2013-09-25T15:51:46Z
dc.date.available 2013-09-25T15:51:46Z
dc.date.issued 2013
dc.identifier.uri http://library2.smu.ca/xmlui/handle/01/25224
dc.description 1 online resource (37 p.)
dc.description Includes abstract and appendices.
dc.description Includes bibliographical references (p. 21-22).
dc.description.abstract The goal of the paper is to find out the relationship between indicators and intraday stock price using data from the United States stock market give a reasonable conclusion on how accurate the indicators reflect the stock price. Since the introduction of the electronic systems, more than 50,000 traders now trade on their stocks within intraday, referred to as day trades In this paper, we investigate whether day trading method generate abnormal return to investors. The typical technique indicators are moving average, relative strength index and slow stochastic. They are most frequency using by traders and hedge fund managers. The results are indicating the technique can able to generate the abnormal return. However the abnormal returns of few technique analyses are not significant. The distribution of abnormal return is most likely the random curve. Using the multiple indicators is the best way to generate the abnormal return in day trading. en_CA
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dc.description.provenance Made available in DSpace on 2013-09-25T15:51:46Z (GMT). No. of bitstreams: 1 ma_rui_mrp_2013.pdf: 251791 bytes, checksum: 50b0837cd6604c664f9b5b25719eb3a1 (MD5) en
dc.language.iso en en_CA
dc.publisher Halifax, N.S. : Saint Mary's University
dc.title Measuring abnormal returns on day trading : use of technical analysis en_CA
dc.type Text en_CA
thesis.degree.name Master of Finance
thesis.degree.level Masters
thesis.degree.discipline Finance, Information Systems, & Management Science
thesis.degree.grantor Saint Mary's University (Halifax, N.S.)
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