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David Enke

Affiliations: 
University of Missouri-Rolla, Rolla, MO, United States 
Area:
Finance, Computer Science, Operations Research
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"David Enke"
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Hsien-Tsung Liao grad student 2002 University of Missouri-Rolla
Suraphan Thawornwong grad student 2003 University of Missouri-Rolla
Geping Liu grad student 2004 University of Missouri-Rolla
Jakapun Mepokee grad student 2005 University of Missouri-Rolla
Kai Xiao grad student 2005 University of Missouri-Rolla
Sunisa Amornwattana grad student 2007 University of Missouri-Rolla
Thira Chavarnakul grad student 2007 University of Missouri-Rolla
Kuifeng Hu grad student 2007 University of Missouri-Rolla

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Publications

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Zhong X, Enke D. (2017) Forecasting daily stock market return using dimensionality reduction Expert Systems With Applications. 67: 126-139
Lee S, Enke D, Kim Y. (2017) A relative value trading system based on a correlation and rough set analysis for the foreign exchange futures market Engineering Applications of Artificial Intelligence. 61: 47-56
Kim Y, Ahn W, Oh KJ, et al. (2017) An intelligent hybrid trading system for discovering trading rules for the futures market using rough sets and genetic algorithms Applied Soft Computing. 55: 127-140
Kim Y, Enke D. (2016) Using Neural Networks to Forecast Volatility for an Asset Allocation Strategy Based on the Target Volatility Procedia Computer Science. 95: 281-286
Kim Y, Enke D. (2016) Developing a rule change trading system for the futures market using rough set analysis Expert Systems With Applications. 59: 165-173
Chiang WC, Enke D, Wu T, et al. (2016) An adaptive stock index trading decision support system Expert Systems With Applications. 59: 195-207
Wiles PS, Enke D. (2015) Optimizing MACD Parameters via Genetic Algorithms for Soybean Futures Procedia Computer Science. 61: 85-91
Wiles P, Enke D. (2015) A hybrid neuro-fuzzy model to forecast the Soybean complex International Annual Conference of the American Society For Engineering Management 2015, Asem 2015. 1-5
Mehdiyev N, Enke D. (2014) Interest rate prediction: A neuro-hybrid approach with data preprocessing International Journal of General Systems. 43: 535-550
Enke D, Mehdiyev N. (2014) A hybrid neuro-fuzzy model to forecast inflation Procedia Computer Science. 36: 254-260
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