Advances in Credit Risk Modelling and Corporate Bankruptcy Prediction
Herausgeber: Jones, Stewart; Hensher, David A.
Advances in Credit Risk Modelling and Corporate Bankruptcy Prediction
Herausgeber: Jones, Stewart; Hensher, David A.
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A compendium of credit risk modelling approaches, including several new techniques that extend the horizons of future research and practice.
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A compendium of credit risk modelling approaches, including several new techniques that extend the horizons of future research and practice.
Produktdetails
- Produktdetails
- Verlag: Cambridge University Press
- Seitenzahl: 310
- Erscheinungstermin: 25. September 2008
- Englisch
- Abmessung: 250mm x 175mm x 21mm
- Gewicht: 717g
- ISBN-13: 9780521869287
- ISBN-10: 0521869285
- Artikelnr.: 24927123
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
- Verlag: Cambridge University Press
- Seitenzahl: 310
- Erscheinungstermin: 25. September 2008
- Englisch
- Abmessung: 250mm x 175mm x 21mm
- Gewicht: 717g
- ISBN-13: 9780521869287
- ISBN-10: 0521869285
- Artikelnr.: 24927123
- Herstellerkennzeichnung
- Libri GmbH
- Europaallee 1
- 36244 Bad Hersfeld
- gpsr@libri.de
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 Stewart Jones and David A. Hensher; 3. An
evaluation of open and closed form distress prediction models: the nested
Logit and latent class models Stewart Jones and David A. Hensher; 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 modeling
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.
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 Stewart Jones and David A. Hensher; 3. An
evaluation of open and closed form distress prediction models: the nested
Logit and latent class models Stewart Jones and David A. Hensher; 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 modeling
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.
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 Stewart Jones and David A. Hensher; 3. An
evaluation of open and closed form distress prediction models: the nested
Logit and latent class models Stewart Jones and David A. Hensher; 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 modeling
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.
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 Stewart Jones and David A. Hensher; 3. An
evaluation of open and closed form distress prediction models: the nested
Logit and latent class models Stewart Jones and David A. Hensher; 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 modeling
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.







