Financial Decision Making Using Computational Intelligence (Hardcover, 2012 ed.)

The increasing complexity of financial problems and the enormous volume of financial data often make it difficult to apply traditional modeling and algorithmic procedures. In this context, the field of computational intelligence provides an arsenal of particularly useful techniques. These techniques include new modeling tools for decision making under risk and uncertainty, data mining techniques for analyzing complex data bases, and powerful algorithms for complex optimization problems. Computational intelligence has also evolved rapidly over the past few years and it is now one of the most active fields in operations research and computer science. This volume presents the recent advances of the use of computation intelligence in financial decision making. The book covers all the major areas of computational intelligence and a wide range of problems in finance, such as portfolio optimization, credit risk analysis, asset valuation, financial forecasting, and trading.

General

Imprint:	Springer-Verlag New York
Country of origin:	United States
Series:	Springer Optimization and Its Applications, 70
Release date:	July 2012
First published:	2012
Editors:	Michael Doumpos • Constantin Zopounidis • Panos M. Pardalos
Dimensions:	235 x 155 x 24mm (L x W x T)
Format:	Hardcover
Pages:	326
Edition:	2012 ed.
ISBN-13:	978-1-4614-3772-7
Categories:	Books > Business & Economics > Finance & accounting > Finance > General Books > Business & Economics > Business & management > Management & management techniques > Operational research Books > Money & Finance > General
LSN:	1-4614-3772-5
Barcode:	9781461437727

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