Credit Scoring and Its Applications (Mathematics In Industry)

Credit Scoring and Its Applications is recognized as the bible of credit scoring. It contains a comprehensive review of the objectives, methods, and practical implementation of credit and behavioral scoring. The authors review principles of the statistical and operations research methods used in building scorecards, as well as the advantages and disadvantages of each approach. The book contains a description of practical problems encountered in building, using, and monitoring scorecards and examines some of the country-specific issues in bankruptcy, equal opportunities, and privacy legislation. It contains a discussion of economic theories of consumers' use of credit, and readers will gain an understanding of what lending institutions seek to achieve by using credit scoring and the changes in their objectives.

New to the second edition are: lessons that can be learned for operations research model building from the global financial crisis; current applications of scoring; discussions on the Basel Accords and their requirements for scoring; new methods for scorecard building and new expanded sections on ways of measuring scorecard performance; and survival analysis for credit scoring.

Other unique features include methods of monitoring scorecards and deciding when to update them, as well as different applications of scoring, including direct marketing, profit scoring, tax inspection, prisoner release, and payment of fines.

Audience: This book is an indispensable reference to credit analysts, scorecard developers, and credit risk managers employed by lending companies such as banks, finance houses, mortgage companies, credit card companies, retailers, mail order firms, utility companies, and insurance companies. Graduate students in mathematical finance, industrial mathematics, and statistics and senior undergraduate students in mathematics, statistics, and quantitative business studies courses will find this a most useful textbook.

Contents: Chapter 1: The History and Philosophy of Credit Scoring; Chapter 2: The Practice of Credit Scoring; Chapter 3: Common Methods for Building Scorecards; Chapter 4: Alternative Methods of Building Scorecards; Chapter 5: Survival Methods; Chapter 6: Managing the Data in Scorecard Development; Chapter 7: Behavioral Scoring; Chapter 8: Measuring Scorecard Performance; Chapter 9: Implementation and Areas of Application; Chapter 10: Economic Issues; Chapter 11: Capital Requirements and the Basel Accords; Chapter 12: Securitization and the Subprime Mortgage Crisis; Chapter 13: Variable Pricing and Risk-Based Pricing.