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

• Highly-accessible guide to Credit Scoring
• Assumes little prior knowledge
• Comprehensive, up-to-date and wide-ranging
• Extensive glossary and bibliography
• Numerous examples and illustrations

The Credit Scoring Toolkit provides an all-encompassing view of the use of statistical models to assess retail credit risk and provide automated decisions. 

In eight modules, the book provides frameworks for both theory and practice. It first explores the economic justification and history of Credit Scoring, risk linkages and decision science, statistical and mathematical tools, the assessment of business enterprises, and regulatory issues ranging from data privacy to Basel II. It then provides a practical how-to-guide for scorecard development, including data collection, scorecard implementation, and use within the credit risk management cycle. 

Including numerous real-life examples and an extensive glossary and bibliography, the text assumes little prior knowledge making it an indispensable desktop reference for graduate students in statistics, business, economics and finance, MBA students, credit risk and financial practitioners.

Readership: Masters level students in statistics, business, economics and finance, MBA students, and credit risk and financial practitioners.