Advances in Credit Risk Modelling and Corporate Bankruptcy Prediction (Quantitative Methods for Applied Economics and Business Research)

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Description

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.

Advances in Credit Risk Modelling and Corporate Bankruptcy Prediction (Quantitative Methods for Applied Economics and Business Research)

Additional information

PublicationDate

2008-09-25

ProductTypeName

ABIS_EBOOKS

ProductGroup

eBooks

Publisher

Cambridge University Press

ReleaseDate

2008-09-25

Title

Advances in Credit Risk Modelling and Corporate Bankruptcy Prediction (Quantitative Methods for Applied Economics and Business Research)

Studio

Cambridge University Press

NumberOfPages

312

Manufacturer

Cambridge University Press

Edition

1

Creator

Stewart Jones

EISBN

9781316271100

Format

Kindle eBook

Languages
Label

Cambridge University Press

Binding

Kindle Edition