Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/8731
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dc.contributor.authorMah, Ching Chengen_US
dc.contributor.authorLim, Mui Lengen_US
dc.contributor.authorLiow, Chiew Tengen_US
dc.date.accessioned2008-09-24T07:24:23Z
dc.date.available2008-09-24T07:24:23Z
dc.date.copyright2003en_US
dc.date.issued2003
dc.identifier.urihttp://hdl.handle.net/10356/8731
dc.description.abstractWe adopt a Neuro-fuzzy (or Neural Fuzzy) model–Adaptive Neural Fuzzy Inference System (ANFIS)–to predict when the market would take positions in anticipating an event to occur (the action day), and how the market would react (point and direction predictions of price movement and trading activity) when the event occurs. With this information, an investor would be in a comparatively advantageous position to capture on the profitable opportunities.en_US
dc.rightsNanyang Technological Universityen_US
dc.subjectDRNTU::Business::Finance::Equity
dc.titlePredicting the impact of anticipatory action on US stock market : an event study using ANFIS (a neural fuzzy model)en_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorCheng, Philip Yim Kwongen_US
dc.contributor.schoolCollege of Business (Nanyang Business School)en_US
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Appears in Collections:NBS Student Reports (FYP/IA/PA/PI)
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