A review of stock market prediction with artificial neural network (ANN)

Rayner Alfred, and Chang, Sim Vui and Gan, Kim Soon and Chin, Kim On (2013) A review of stock market prediction with artificial neural network (ANN). In: 2013 IEEE International Conference on Control System, Computing and Engineering.

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Abstract

Stock market is a promising financial investment that can generate great wealth. However, the volatile nature of the stock market makes it a very high risk investment. Thus, a lot of researchers have contributed their efforts to forecast the stock market pricing and average movement. Researchers have used various methods in computer science and economics in their quests to gain a piece of this volatile information and make great fortune out of the stock market investment. This paper investigates various techniques for the stock market prediction using artificial neural network (ANN). The aim of this paper is to provide a review of the applications of ANN in stock market prediction in order to determine what can be done in the future.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Uncontrolled Keywords: Artificial neural network; stock market prediction; stock market; stock index
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: FACULTY > Faculty of Computing and Informatics
Depositing User: Unnamed user with email storage.bpmlib@ums.edu.my
Date Deposited: 13 Nov 2015 03:18
Last Modified: 09 Nov 2017 08:14
URI: http://eprints.ums.edu.my/id/eprint/12251

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