This book provides a systematic presentation of credit risk scorecard development and implementation. The text covers the theoretical foundations, the practical implementation and programming using SAS. The book topics include: Data acquisition - data preparation EDA, predictive measures and variable selection Optimal segmentation and binning Coarse classing and WOE transformations Development of logistic regression models Methods of model assessment and evaluation Scorecard creation and scaling Automatic generation of scoring code (SAS, SQL, C) Scorecard monitoring and reporting Reject...