@article{(Open Science Index):https://publications.waset.org/pdf/14684,
	  title     = {An Engineering Approach to Forecast Volatility of Financial Indices},
	  author    = {Irwin Ma and  Tony Wong and  Thiagas Sankar},
	  country	= {},
	  institution	= {},
	  abstract     = {By systematically applying different engineering
methods, difficult financial problems become approachable. Using a
combination of theory and techniques such as wavelet transform,
time series data mining, Markov chain based discrete stochastic
optimization, and evolutionary algorithms, this work formulated a
strategy to characterize and forecast non-linear time series. It
attempted to extract typical features from the volatility data sets of
S&P100 and S&P500 indices that include abrupt drops, jumps and
other non-linearity. As a result, accuracy of forecasting has reached
an average of over 75% surpassing any other publicly available
results on the forecast of any financial index.},
	    journal   = {International Journal of Industrial and Manufacturing Engineering},
	  volume    = {1},
	  number    = {10},
	  year      = {2007},
	  pages     = {597 - 609},
	  ee        = {https://publications.waset.org/pdf/14684},
	  url   	= {https://publications.waset.org/vol/10},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 10, 2007},
	}