The Art and Science of Predicting Stock Prices

The Art and Science of Predicting Stock Prices

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This study presents a Business Intelligence (BI) approach to forecast daily changes in 27 stocksAca‚na„c prices from 8 industries. The BI approach uses a financial data mining technique specifically Neural Network to assess the feasibility of financial forecasting compared to regression model using ordinary least squares estimation method. We used eight indicators such as macroeconomic indicators, microeconomic indicators, political indicators, market indicators, market sentiment indicators, institutional investor, business cycles, and calendar anomaly to predict changes in stocksAca‚na„c prices. The results shows NN model better predicts stock prices with up to 92% of forecasting accuracy.[MDR] 108 IndustrialElectrical Equipment EATON CORPORATION [ETN] 109 Industrial Equipment aamp; Components EMERSON ELECTRIC CO. [EMR] 110 ... [ PCP] 114 Pollution aamp; TreatmentControls DONALDSON COMPANY INC. ... [CAS] 127 Broadcasting - Radio SIRIUS XM RADIO INC. [SIRI] 128 Broadcasting - TV ROGERS COMMUNICATIONS INC. ... [IRM] 130 CATV Systems COMCAST CORP.

Title:The Art and Science of Predicting Stock Prices
Author: Luna Tjung - 2010-08-12

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