Advances in Credit Risk Modelling and Corporate Bankruptcy Prediction (Hardcover, New)

The field of credit risk and corporate bankruptcy prediction has gained considerable momentum following the collapse of many large corporations around the world, and more recently through the sub-prime scandal in the United States. This book provides a thorough compendium of the different modelling approaches available in the field, including several new techniques that extend the horizons of future research and practice. Topics covered include probit models (in particular bivariate probit modelling), advanced logistic regression models (in particular mixed logit, nested logit and latent class models), survival analysis models, non-parametric techniques (particularly neural networks and recursive partitioning models), structural models and reduced form (intensity) modelling. Models and techniques are illustrated with empirical examples and are accompanied by a careful explanation of model derivation issues. This practical and empirically-based approach makes the book an ideal resource for all those concerned with credit risk and corporate bankruptcy, including academics, practitioners and regulators.

General

Imprint:	Cambridge UniversityPress
Country of origin:	United Kingdom
Series:	Quantitative Methods for Applied Economics and Business Research
Release date:	September 2008
First published:	September 2008
Editors:	Stewart Jones • David A. Hensher
Dimensions:	253 x 179 x 22mm (L x W x T)
Format:	Hardcover
Pages:	312
Edition:	New
ISBN-13:	978-0-521-86928-7
Categories:	Books > Reference & Interdisciplinary > Communication studies > Decision theory > Risk assessment Books > Business & Economics > Finance & accounting > Finance > Corporate finance Books > Business & Economics > Finance & accounting > Finance > Credit & credit institutions Books > Money & Finance > Corporate finance Books > Money & Finance > Credit & credit institutions Promotions
LSN:	0-521-86928-5
Barcode:	9780521869287

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