• DocumentCode
    605156
  • Title

    Validation of Artificial Neural Network Model for Share Price UK Banking Sector Short-Term Trading

  • Author

    Turkedjiev, E. ; Angelova, M. ; Busawon, K.

  • Author_Institution
    Fac. of Eng. & Environ., Northumbria Univ., Newcastle upon Tyne, UK
  • fYear
    2013
  • fDate
    10-12 April 2013
  • Firstpage
    6
  • Lastpage
    11
  • Abstract
    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.
  • Keywords
    banking; neural nets; regression analysis; share prices; time series; ANN model; artificial neural network model; bilinear model; financial share time-series; linear regression model; nonlinear type; period datasets; share price UK banking sector short-term trading; share prices; short-term prediction; Artificial neural networks; Computational modeling; Data models; Linear regression; Mathematical model; Numerical models; Share prices; Artificial neural networks; Banking sector; Bilinear model; Financial shares; Linear models; Short-term share trading; Validation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Modelling and Simulation (UKSim), 2013 UKSim 15th International Conference on
  • Conference_Location
    Cambridge
  • Print_ISBN
    978-1-4673-6421-8
  • Type

    conf

  • DOI
    10.1109/UKSim.2013.31
  • Filename
    6527381