Stock market prediction system with modular neural networks

By T. Kimoto, K. Asakawa, M. Yoda, Masakazu Takeoka. 1990

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Citations in the corpus

Financial market prediction system with Evolino neural network and Delphi method (2013, methodology): “Kimoto et al. (1990) proposed a stock market prediction system with modular neural networks; Wang and Leu (1996) used ARIMA-based neural networks.”
Modified support vector machines in financial time series forecasting (2002, background): “Over the past few years, neural networks have been successfully used for modeling nancial time series ranging from options price [5], corporate bond rating [9], stock index trading [8] to currency exchange [24].”
Forecasting stock market short-term trends using a neuro-fuzzy based methodology (2009, unknown): “…, 2000 ; Halliday , 2004 ; Harvey , Travens , & Costa , 2000 ; Hassan , Nath , & Kirley , 2007 ; Jang , 1992 ; Kim & Chun , 1998 ; Kim , 1998 ; Kimoto , Asakawa , Yoda , & Takeoka , 1990 ; Koulouriotis , Diakoula - kis , & Emiris , 2001 ; Kuo & Cohen , 1998 ; Leung , Daouk , & Chen , 2000 ;…”
Stock market forecasting using hidden Markov model: a new approach (2005, background): “Key Words: HMM, stock market forecasting, financial time series, feature selection”
Neural Networks and Financial Trading and the Efficient Markets Hypothesis (2002, background): “If such patterns exist, then it is possible in principle to apply automated pattern recognition techniques such as neural networks to the discovery of these patterns.”
Trading Equity Index Futures With a Neural Network (1992, background): “Generate improved risk ratings of bonds (Dutta and Shekhar [1988], Surkan and Singleton [1992], and Collins, Ghosh, and Scofield [1988]) Search for regularities in the price movements of an individual stock (White [1988]) Classitjr multiple stocks as to upside potential using fundamental and general”
A hybrid ARIMA and support vector machines model in stock price forecasting (2005, methodology): “Kimoto and Asakawa [1] used modular neural networks to predict the timing of buying and selling for the Tokyo Stock Exchange.”
Application Of Neural Network To Technical Analysis Of Stock Market Prediction (2001, background): “Some are applied to predicting future price or rate of changes [4], and some are applied to recognizing certain price patterns that are characteristic of future price changes [5].”