@article{(Open Science Index):https://publications.waset.org/pdf/10000731,
	  title     = {Novel GPU Approach in Predicting the Directional Trend of the S&P 500},
	  author    = {A. J. Regan and  F. J. Lidgey and  M. Betteridge and  P. Georgiou and  C. Toumazou and  K. Hayatleh and  J. R. Dibble},
	  country	= {},
	  institution	= {},
	  abstract     = {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.
},
	    journal   = {International Journal of Economics and Management Engineering},
	  volume    = {8},
	  number    = {8},
	  year      = {2014},
	  pages     = {2753 - 2756},
	  ee        = {https://publications.waset.org/pdf/10000731},
	  url   	= {https://publications.waset.org/vol/92},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 92, 2014},
	}