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  3. Advances in Credit Risk Modelling and Corporate Bankruptcy Prediction
  • Cited by 13
Publisher:
Cambridge University Press
Online publication date:
June 2010
Print publication year:
2008
Online ISBN:
9780511754197
DOI:
https://doi.org/10.1017/CBO9780511754197
Series:
Quantitative Methods for Applied Economics and Business Research
Subjects:
Economics, Mathematics, Econometrics and Mathematical Methods, Mathematical Finance, Finance and Accountancy
Information

Book 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.

Reviews

‘… if you wish to learn more about the nature of the financial instruments that have brought the world to its knees, then this … is a useful starting point.’

Source: The Times Higher Education Supplement

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