Decision Technologies for Financial Engineering: Proceedings of the Fourth International Conference on Neural Networks in the Capital Markets

ISBN 10: 9810231237 ISBN 13: 9789810231231

Editorial: World Scientific Publishing Company January 1997, 1997

Idioma: Ingl�s

Condici�n: Usado Encuadernaci�n de tapa dura

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Detalles bibliogr�ficos

T�tulo

Decision Technologies for Financial Engineering: Proceedings of the Fourth International Conference on Neural Networks in the Capital Markets

Editor

World Scientific Publishing Company January 1997

Fecha de publicaci�n

1997

Idioma

Ingl�s

ISBN 10

9810231237

ISBN 13

9789810231231

Encuadernaci�n

Hardcover

Estado

Used - fine

Cat�logos de vendedores

Science

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Sinopsis

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.The various chapters present and compare new techniques from many areas including data mining, information systems, machine learning, and statistical artificial intelligence. The volume focuses on evaluating their usefulness for problems in computational finance and financial engineering.Applications ― risk management; asset allocation; dynamic trading and hedging; forecasting; trading cost control. Markets ― equity; foreign exchange; bond; commodity; derivatives; Approaches ― data mining; statistical AI; machine learning; Monte Carlo simulation; bootstrapping; genetic algorithms; nonparametric methods; fuzzy logic.The chapters emphasizes in-depth and comparative evaluation with established approaches.

Rese�a del editor

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.The various chapters present and compare new techniques from many areas including data mining, information systems, machine learning, and statistical artificial intelligence. The volume focuses on evaluating their usefulness for problems in computational finance and financial engineering.Applications - risk management; asset allocation; dynamic trading and hedging; forecasting; trading cost control. Markets - equity; foreign exchange; bond; commodity; derivatives; Approaches - data mining; statistical AI; machine learning; Monte Carlo simulation; bootstrapping; genetic algorithms; nonparametric methods; fuzzy logic.The chapters emphasizes in-depth and comparative evaluation with established approaches.

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