Advances in credit risk modelling and corporate bankruptcy prediction /

Bibliographic Details
Other Authors: Jones, Stewart, ed, Hensher, David A, ed
Format: Book
Language:English
Published: Cambridge, Mass. : Cambridge Univertsity Press, 2008
Series:Quantitative methods for applied economics and business research
Subjects:
Table of Contents:
  • List of figures
  • List of tables
  • List of contributors
  • Introduction / Stewart Jones and David A. Hensher
  • 1. A statistical model for credit scoring / William H. Greene
  • 2. Mixed logit and error component models of corporate insolvency and bankruptcy risk / David A. Hensher and Stewrt Jones
  • 3. An evaluation of open- and closed -form distress prediction models: the nested logit and latent class models / David A. Hensher and Stewrt Jones
  • 4. Survival analysis and omitted dividends / Marc J. Leclere
  • 5. Non-parametric methods for credit risk analysis: neural networks and recursive partitioning techniques / Maurice Peat
  • 6. Bankruptcy prediction and structural credit risk models / Andreas Charitou, Neophytos Lambertides and Lenos Trigeorgis
  • 7. Default recovery rates and LGD in credit risk modelling and practice: an updated review of the literature and empirical evidence / Edward I. Altman
  • 8. Credit derivatives: current practices and controversies / Stewart Jones and Maurice Peat
  • 9. Local government distress in Australia: a latent class regression analysis / Stewart Jones and Robert G. Walker
  • 10. A belief-function perspective to credit risk assessments / Rajendra P. Srivastava and Stewart Jones
  • Index