Financial Forecasting Using Neural Network or Machine Learning Techniques

Student: Kim Kwong Chung

Supervisor: Dr. Marcus Gallagher

Category: Electrical Engineering Thesis Project

The breakthrough in the development of the hardware of the computer has enabled a more efficient and comprehensive application of the Artificial Neural Network (ANN). ANN is a technique that has been widely adapted in many industries.

This thesis examines and analyses the use of neural network as a forecast tool. Historical financial data of seven companies were pre-process and fed into the neural network. A number of neural network designs are implemented to test the neural network’s ability to predict the return of the stock market. Accuracy is compared with the data from the Australia Stock Exchange. This thesis objective is to study the feasibility and practicality of using neural networks as a forecasting tool for the user and to determine if detectable trends are present in stock returns.

The following links consists of a short introduction movie, the thesis and poster in pdf format and in the zip file it consists a simple powerpoint presentation and the conference paper(pdf format). For more information please contact Ian Chung at noodle75@mailcity.com (PS. Although the movie file's resolution has been lowered to reduce its file size. It is still advisable to download the file to view.)

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Poster Presentation (PDF)

Thesis Document (PDF)

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