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Validation of artificial neural network model for share price UK banking sector short-term trading

conference contribution
posted on 2013-08-05, 00:00 authored by E Turkedjiev, Maia Angelova TurkedjievaMaia Angelova Turkedjieva, K Busawon
The study's objective is to justify the use of the ANN for the short-term prediction of share prices, particularly in the banking sector. The assumption is that financial share time-series contain significant non-linearity and that the ANN can be utilized effectively. The ANN model is compared with a linear regression model. Non-linearity is shown by deduction via a comparison of experimental results using the ANN and linear regression models. Furthermore the ANN model is compared with another nonlinear type of model i.e. bilinear model as well. The experiments are based on actual monthly (four-week) period datasets, and the performance of the models is formally evaluated. The conclusions are positive and do merit further experimentation.

History

Event

Computer Modelling and Simulation (UKSim). International Conference (15th : 2013 : Cambridge, United Kingdom)

Series

Computer Modelling and Simulation (UKSim) International Conference

Pagination

6 - 11

Publisher

IEEE

Location

Cambridge, U.K.

Place of publication

Piscataway, N.J.

Start date

2013-04-10

End date

2013-04-12

ISBN-13

9780769549941

Language

eng

Publication classification

E Conference publication; E1.1 Full written paper - refereed

Copyright notice

2013, IEEE

Editor/Contributor(s)

Unknown

Title of proceedings

UKSim 2013 : Proceedings of the 15th International Conference on Computer Modelling and Simulation