This study offers comprehensive coverage of neural network applications in the capital markets, combining the viewpoints of those involved in finance with neural network engineers. The author takes a pragmatic view, treating neural networks as computational equivalents to well-understood, non-parametric inference methods in decision science. He makes comparisons with established techniques where appropriate. The book is based on original papers which represent new and significant research, development and applications in ...
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This study offers comprehensive coverage of neural network applications in the capital markets, combining the viewpoints of those involved in finance with neural network engineers. The author takes a pragmatic view, treating neural networks as computational equivalents to well-understood, non-parametric inference methods in decision science. He makes comparisons with established techniques where appropriate. The book is based on original papers which represent new and significant research, development and applications in finance and investment.
Read Less
