Tremendous growth in the credit industry has spurred the need for Credit Scoring and Its Applications, the only book that details the mathematical models that help creditors make intelligent credit risk decisions. Creditors of all types make risk decisions every day, often haphazardly. This book addresses the two basic types of decisions and offers sound mathematical models to assist with the decision-making process. The first decision creditors face is whether to grant credit to a new applicant (credit scoring), and the second is how to adjust the credit restrictions or the marketing effort directed at a current customer (behavioral scoring). The authors have filled an important niche with this groundbreaking book. Currently, only the most sophisticated creditors use the models contained in this book to make these decisions, but all creditors can know these aids to successful lending.
Preface; Chapter 1: The History and Philosophy of Credit Scoring; Chapter 2. The Practice of Credit Scoring; Chapter 3: Economic Cycles and Lending and Debt Patterns; Chapter 4: Statistical Methods for Scorecard Development; Chapter 5: Nonstatistical Methods for Scorecard Development; Chapter 6: Markov Chain Models of Repayment and Usage Behavior; Chapter 7: Measuring Scorecard Performance; Chapter 8: Practical Issues of Scorecard Development; Chapter 9: Implementation and Areas of Application; Chapter 10: Applications of Scoring in Other Areas of Lending; Chapter 11: Applications of Scoring in Other Areas; Chapter 12: New Ways to Build Scorecards; Chapter 13: International Differences; Chapter 14: Profit Scoring, Risk-Based Pricing, and Securitization; References; Index.