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

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.

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Revue de presse :

This is an extremely valuable and timely book on a very important topic ... Anderson has 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 use and 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, Scholl of Management, University of Southampton)

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Raymond Anderson
ISBN 10 : 0199226407 ISBN 13 : 9780199226405
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Description du livre 2007. No Binding. État : New. No Jacket. The Credit Scoring Toolkit (eBook). N° de réf. du libraire ABE-11784841335

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Description du livre Oxford University Press, United Kingdom, 2007. Hardback. État : New. 246 x 192 mm. 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. 246 x 192 mm. 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 OUP Oxford 2007-08-30, 2007. État : New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely. N° de réf. du libraire NU-LBR-00669807

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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 2007-08-30, Oxford, 2007. hardback. État : New. N° de réf. du libraire 9780199226405

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Description du livre Oxford Univ Pr, 2007. Hardcover. État : Brand New. 731 pages. 9.75x7.75x2.00 inches. In Stock. N° de réf. du libraire __0199226407

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Description du livre Oxford University Press Sep 2007, 2007. Buch. État : Neu. 257x197x50 mm. 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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