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

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9780199226405: 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.

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.

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

From the Author :

If you've written the thing, of course you're going to brag. This work was took four years, and involved thousands of hours reading and research, to provide a view of the topic from practically every possible angle: statistics, economics, finance, law, history, and so on. And even though I already had several years experience in the field, its creation took me on a journey of learning.

Although written by a practitioner, the book is extremely well referenced and suited for academic environments (the bibliography and glossary are 15 and 40 pages long, respectively). It takes a non-geocentric approach, and strives present broad principles instead of focussing upon the situation in any one country. Even so, it is most relevant to the UK and USA environments, for which the most information is available.

Comments received from colleagues have thus far have included "awesome", "art", and "bible", as I really tried to draw upon my writing abilities to create something that "is in a totally different league" to other works. If you have any interest in retail credit, whether as a bank, retailer, or service provider, I am sure you will find this book of value.

From the Back Cover :

"This is an extremely valuable and timely book on a very important topic... Anderson had provided a great service to all who use Credit Scoring techniques."
Barry Scholnick PhD, Eric Geddes Associate Professor of Business, University of Alberta

"It is a superb mixture of a practical how to do guide for those wanting to develop credit scoring together with a way of putting the decisions it supports in context and the techniques it uses in a general modelling framework."
Professor Lyn Thomas, Professor of Management Science, School of Management, University of Southampton.

The Credit Scoring Toolkit provides an all-encompassing view of the use of statistical models to assess retail credit risk and provide automated decisions, and in eight modules it provides frameworks for both theory and practice. The book 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.

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

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

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Description du livre Oxford University Press, United Kingdom, 2007. Hardback. État : New. Language: English . Brand New Book. 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. N° de réf. du libraire AOP9780199226405

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Description du livre Oxford University Press, United Kingdom, 2007. Hardback. État : New. Language: English . Brand New Book. 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. N° de réf. du libraire AOP9780199226405

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Description du livre Oxford University Press. Hardback. État : new. BRAND NEW, The Credit Scoring Toolkit: Theory and Practice for Retail Credit Risk Management and Decision Automation, Raymond Anderson, 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. N° de réf. du libraire B9780199226405

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Description du livre Oxford University Press Sep 2007, 2007. Buch. État : Neu. Neuware - 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. 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. 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. 784 pp. Englisch. N° de réf. du libraire 9780199226405

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Description du livre Oxford University Press Sep 2007, 2007. Buch. État : Neu. Neuware - 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. 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. 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. 784 pp. Englisch. N° de réf. du libraire 9780199226405

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Description du livre Oxford University Press Sep 2007, 2007. Buch. État : Neu. Neuware - 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. 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. 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. 784 pp. Englisch. N° de réf. du libraire 9780199226405

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Description du livre Oxford University Press Sep 2007, 2007. Buch. État : Neu. Neuware - 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. 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. 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. 784 pp. Englisch. N° de réf. du libraire 9780199226405

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