Bio-Inspired Credit Risk Analysis - Computational Intelligence with Support Vector Machines (Paperback, Softcover reprint of hardcover 1st ed. 2008)

Credit risk analysis is one of the most important topics in the field of financial risk management. Due to recent financial crises and regulatory concern of Basel II, credit risk analysis has been the major focus of financial and banking industry. Especially for some credit-granting institutions such as commercial banks and credit companies, the ability to discriminate good customers from bad ones is crucial. The need for reliable quantitative models that predict defaults accurately is imperative so that the interested parties can take either preventive or corrective action. Hence credit risk analysis becomes very important for sustainability and profit of enterprises. In such backgrounds, this book tries to integrate recent emerging support vector machines and other computational intelligence techniques that replicate the principles of bio-inspired information processing to create some innovative methodologies for credit risk analysis and to provide decision support information for interested parties.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Release date:	October 2010
First published:	2008
Authors:	Lean Yu • Shouyang Wang • Kin Keung Lai • Ligang Zhou
Dimensions:	235 x 155 x 13mm (L x W x T)
Format:	Paperback
Pages:	244
Edition:	Softcover reprint of hardcover 1st ed. 2008
ISBN-13:	978-3-642-09655-6
Categories:	Books > Science & Mathematics > Biology, life sciences > Molecular biology Books > Business & Economics > Business & management > Management & management techniques > Operational research Books > Computing & IT > Applications of computing > Databases > Data mining Books > Business & Economics > Finance & accounting > Finance > Public finance > General Books > Money & Finance > Public finance > General
LSN:	3-642-09655-7
Barcode:	9783642096556

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