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DC FieldValueLanguage
dc.contributorMulti-disciplinary Studiesen_US
dc.creatorLo, Chi-sang-
dc.identifier.urihttps://theses.lib.polyu.edu.hk/handle/200/2801-
dc.languageEnglishen_US
dc.publisherHong Kong Polytechnic University-
dc.rightsAll rights reserveden_US
dc.titleDecision support system for risk management in forex tradingen_US
dcterms.abstractThere are many theories and formulas to deal with the topic of risk management in forex trading. Most of these theories are very sophisticated, but they only focus on two common key points which are how to find out formulas to correctly predict the price of the forex market and how to apply statistical methods to calculate the value at risk. In this dissertation, the author also concentrates on the point of price prediction. However, the author not only uses the traditional methods, but also combines these traditional theories with the technique of artificial intelligence to find out a new point of view for this issue. In this dissertation, the author will develop a system, namely 'RMFT', and apply the rules of several traditional methods to analyze the market risk. And then the author forms a case to represent the current market situation according to the analysis results of traditional methods. After that, RMFT search the case table to get a final integrated risk level. Moreover, RMFT also update the case table by learning the movement of the market price. For the development of RMFT, the author uses the client/server concept with a set of relational data tables to implement the system for an open platform environment.en_US
dcterms.extent1 v. (various pagings) : ill. ; 30 cmen_US
dcterms.isPartOfPolyU Electronic Thesesen_US
dcterms.issued1997en_US
dcterms.educationalLevelAll Masteren_US
dcterms.educationalLevelM.Sc.en_US
dcterms.LCSHForeign exchangeen_US
dcterms.LCSHRisk managementen_US
dcterms.LCSHDecision support systemsen_US
dcterms.LCSHHong Kong Polytechnic University -- Dissertationsen_US
dcterms.accessRightsrestricted accessen_US

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Please use this identifier to cite or link to this item: https://theses.lib.polyu.edu.hk/handle/200/2801