Decision Technologies for Financial Engineering. Proceedings of the Fourth International Conference on Neural Networks in the Capital Markets (NNCM '96), Pasadena 20 - 22 November 1996

Weigend, Andreas S. u. Abu-Mostafa, Yaser u. Refenes, A.-Paul N. (Hrsgg.)

ISBN 10: 9810231237 ISBN 13: 9789810231231

Editorial: World Scientific Publishing, Singapur u. a. O., 1997

Idioma: Ingl�s

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Descripci�n

8�. XVI u. 417 Seiten mit zahlreichen graphischen Darstellungen, Diagrammen, Tabellen u. �., ill. Papp-Bd. Band 7 der Reihe 'Progress in Neural Processing'. - Mit 'Keyword Index'. - Der Einband etwas berieben. Die obere Vorderdeckelecke leicht, die obere R�ckdeckelecke st�rker besto�en, die Seiten im Innern an der oberen Ecke teils schwach knickspurig. Trotz der kleinen M�ngel ein gutes Arbeitsexemplar.

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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 (NNCM '96), Pasadena 20 - 22 November 1996
Editor: World Scientific Publishing, Singapur u. a. O.
Fecha de publicaci�n: 1997
Idioma: Ingl�s
ISBN 10: 9810231237
ISBN 13: 9789810231231
Encuadernaci�n: Hardcover
Estado: Gut

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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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