The credit scoring toolkit : theory and practice for retail credit risk management and decision automation /
Anderson, Raymond.
The credit scoring toolkit : theory and practice for retail credit risk management and decision automation / Raymond Anderson. - lvi, 731 p. : ill.
Formerly CIP.
Includes bibliographical references and index.
This is an up-to-date, comprehensive overview of credit scoring, covering the scorecard development process, all aspects of its use and how it affects businesses and consumers, from micro-lending through to large unlisted companies. 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.
Electronic reproduction.
Askews and Holts.
Mode of access: World Wide Web.
9780191527654 (ebook)
Credit scoring systems.
Business and Management
Business & Management
Econometrics & economic statistics
Credit & credit institutions
Banking
Management decision making
Probability & statistics
Business mathematics & systems
Bayesian inference
The credit scoring toolkit : theory and practice for retail credit risk management and decision automation / Raymond Anderson. - lvi, 731 p. : ill.
Formerly CIP.
Includes bibliographical references and index.
This is an up-to-date, comprehensive overview of credit scoring, covering the scorecard development process, all aspects of its use and how it affects businesses and consumers, from micro-lending through to large unlisted companies. 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.
Electronic reproduction.
Askews and Holts.
Mode of access: World Wide Web.
9780191527654 (ebook)
Credit scoring systems.
Business and Management
Business & Management
Econometrics & economic statistics
Credit & credit institutions
Banking
Management decision making
Probability & statistics
Business mathematics & systems
Bayesian inference