GCMT-189 An Efficient Time Series Analysis for Pharmaceutical Sector Stock Prediction by Applying Hybridization of Data Mining and Neural Network Technique

• Main Authors: Das, Debashish, Sadiq, Ali Safa, Noraziah, Ahmad
• Format: Conference or Workshop Item
• Language: English
• Published: 2015
• Online Access: http://umpir.ump.edu.my/id/eprint/20938/1/GCMT-189%20An%20Efficient%20Time%20Series%20Analysis%20for%20Pharmaceutical%20Sector%20Stock%20Prediction%20by%20Applying%20Hybridization.pdf; http://umpir.ump.edu.my/id/eprint/20938/

The nonlinearity of the stock market is widely accepted all over the world and to reveal such non-linearity the most effective technique has proved to be constructed through application of either data mining or neural network. Pharmaceutical sector is a rapidly growing sector in Bangladeshi stock...