Accurate forecasting of changes in stock market indices can provide financial managers and individual investors with strategically valuable information. However, predicting the closing prices of stock indices remains a challenging task because stock price movements are characterized by high...

Neural networks are well suited to predict future results of time series for various data types. This paper proposes a hybrid neural network model to describe the results of the database of the New York Stock Exchange (NYSE). This hybrid model brings together a self organizing map (SOM) with a...

Management Information Systems are meant to create methods for data management, leading to better decision making. By designing, implementing and using business information systems in innovative ways, the effectiveness and efficiency of every-day activities significantly increases. In the...