%0 Journal Article
	%A A. J. Regan and  F. J. Lidgey and  M. Betteridge and  P. Georgiou and  C. Toumazou and  K. Hayatleh and  J. R. Dibble
	%D 2014
	%J International Journal of Economics and Management Engineering
	%B World Academy of Science, Engineering and Technology
	%I Open Science Index 92, 2014
	%T Novel GPU Approach in Predicting the Directional Trend of the S&P 500
	%U https://publications.waset.org/pdf/10000731
	%V 92
	%X Our goal is development of an algorithm capable of
predicting the directional trend of the Standard and Poor’s 500 index
(S&P 500). Extensive research has been published attempting to
predict different financial markets using historical data testing on an
in-sample and trend basis, with many authors employing excessively
complex mathematical techniques. In reviewing and evaluating these
in-sample methodologies, it became evident that this approach was
unable to achieve sufficiently reliable prediction performance for
commercial exploitation. For these reasons, we moved to an out-ofsample
strategy based on linear regression analysis of an extensive
set of financial data correlated with historical closing prices of the
S&P 500. We are pleased to report a directional trend accuracy of
greater than 55% for tomorrow (t+1) in predicting the S&P 500.

	%P 2753 - 2756