Product Description: This volume contains selected papers that were presented at the International Conference COMPUTATIONAL FINANCE 1997 held at London Business School on December 15-17 1997. Formerly known as Neural Networks in the Capital Markets (NNCM), this series of meetings has emerged as a truly multi-disciplinary international conference and provided an international focus for innovative research on the application of a multiplicity of advanced decision technologies to many areas of financial engineering...read more (view table of contents, read Amazon.com's description)

Product Description: This volume selects the best contributions from the Fourth International Conference on Neural Networks in the Capital Markets (NNCM). The conference brought together academics from several disciplines with strategists and decision makers from the financial industries...read more (view table of contents, read Amazon.com's description)

Product Description: This volume selects the best contributions from the Fourth International Conference on Neural Networks in the Capital Markets (NNCM). The conference brought together academics from several disciplines with strategists and decision makers from the financial industries...read more

Neural networks can be used for improving investment performance in the financial markets, as they bear many mathematical similarities to the nonlinear econometric models used to study the microstructure of the financial markets. The papers in this text have been taken from the 3rd International Conference on Neural Networks in the Capital Markets, an annual conference that has brought together investment managers, neural network researchers, statisticians, econometricians and computer scientists for an insight into the state of the art in this area. In this volume, the papers aim to give investment managers, institutional investors and analysts a comprehensive look at the most profitable applications of this technology.

Product Description: Based on original papers which represent new and significant research, developments and applications in finance and investment. The author takes a pragmatic view of neural networks, treating them as computationally equivalent to well-understood, non-parametric inference methods in decision science...read more (view table of contents, read Amazon.com's description)