The Credit Scoring Toolkit: Theory and Practice for Retail Credit Risk Management and Decision Automation

The Credit Scoring Toolkit: Theory and Practice for Retail Credit Risk Management and Decision Automation

Credit scoring aims to quantify the likelihood of a prospective borrower defaulting on payment over a specified period of time. The credit score is calculated using increasingly sophisticated statistical models, which vary considerably between individual cases. This clearly-written and comprehensive text covers the scorecard development process and provides a practical how-to guide for those wanting to use and develop credit scoring techniques.<br><br>Assuming little prior knowledge, the text includes the relevant statistical and mathematical tools, numerous real-life examples, and discussion of the credit risk management cycle and the importance of credit scoring in business and regulatory environments, including Basel II. <br><br>An extensive glossary and bibliography make this an indispensable desktop reference for graduate students in statistics, business, economics and finance, MBA students, credit risk and financial practitioners.