Computational intelligence in economics and finance: carrying on the legacy of Herbert Simon
Information Sciences: an International Journal - Special issue: Computational intelligence in economics and finance
Machine learning for stock selection
Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining
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From the Publisher:With the proliferation of computer programs to predict market direction, professional traders and sophisticated individual investors have increasingly turned to mathematical modeling to develop predictive systems. Kernel regression is a popular data modeling technique that can yield useful results fast.Provides data modeling methodology used to develop trading systems. * Shows how to design, test, and measure the significance of resultsJohn R. Wolberg (Haifa, Israel) is professor of mechanical engineering at the Haifa Institute in Israel. He does research and consulting in data modeling in the financial services area.