2008
DOI: 10.1016/j.eswa.2007.06.039
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DJIA stock selection assisted by neural network

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Cited by 49 publications
(35 citation statements)
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“…RNN had the capability to dynamically incorporate past experience. Quah [8] presented methodologies to select equities based on soft-computing models which focus on applying fundamental analysis for equities screening. The performance of three models was compared: multilayer perceptron (MLP), adaptive neuro-fuzzy inference systems (ANFIS) and general growing and pruning radial basis function (GGAP-RBF).…”
Section: Improving Ann Accuracy By Relevant Ann Modelmentioning
confidence: 99%
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“…RNN had the capability to dynamically incorporate past experience. Quah [8] presented methodologies to select equities based on soft-computing models which focus on applying fundamental analysis for equities screening. The performance of three models was compared: multilayer perceptron (MLP), adaptive neuro-fuzzy inference systems (ANFIS) and general growing and pruning radial basis function (GGAP-RBF).…”
Section: Improving Ann Accuracy By Relevant Ann Modelmentioning
confidence: 99%
“…[11], [22][23][24][25]. Different stock market parameter are also used: movement of index, major stock market indices, domestic minimum loan rate, gold price [26], results of fundamental analysis [8], moving average crossover inputs based on technical analysis rules [27] and so on. Further research is anticipated to incorporate additional inputs that influence stock returns with this neural approach [28].…”
Section: Choice Of Inputsmentioning
confidence: 99%
“…Most of the work is the combination of soft computing technology and technical analysis in stock analysis (Wen et al 2010;Chen et al 2009;Fernandez Garcia et al 2010). Although technical analysis is the most popular area of research, fundamental analysis is mostly for long-term investment decision (Quah 2009), due to the fact that most fundamental variables are available in a monthly or annual basis (Anastasakis and Mort 2009). However, as reported in (Quah 2009) it is feasible to complement fundamental and technical analysis in an expert system.…”
Section: Introductionmentioning
confidence: 99%
“…Although technical analysis is the most popular area of research, fundamental analysis is mostly for long-term investment decision (Quah 2009), due to the fact that most fundamental variables are available in a monthly or annual basis (Anastasakis and Mort 2009). However, as reported in (Quah 2009) it is feasible to complement fundamental and technical analysis in an expert system. In the work of Vanstone and Finnie (Vanstone and Finnie 2009), a deep literature review about the applications of ANN to both fundamental and technical analysis can be found.…”
Section: Introductionmentioning
confidence: 99%
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