Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7408811 | International Journal of Forecasting | 2012 | 12 Pages |
Abstract
Estimating the recovery rate and recovery amount has become important in consumer credit due to the new Basel Accord regulation and the increase in the number of defaulters as a result of the recession. We compare linear regression and survival analysis models for modelling recovery rates and recovery amounts, in order to predict the loss given default (LGD) for unsecured consumer loans or credit cards. We also look at the advantages and disadvantages of using single and mixture distribution models for estimating these quantities.
Related Topics
Social Sciences and Humanities
Business, Management and Accounting
Business and International Management
Authors
Jie Zhang, Lyn C. Thomas,