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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 a...
The use of credit scoring - the quantitative and statistical techniques to assess the credit risks involved in lending to consumers - has been one of the most successful if unsung applications of mathematics in business for the last fifty years. Now with lenders changing their objectives from minimising defaults to maximising profits, the saturation of the consumer credit market allowing borrowers to be more discriminating in their choice of which loans, mortgages and credit cards to use, and the Basel Accord banking regulations raising the profile of credit scoring within banks there are a number of challenges that require new models that use credit scores as inputs and extensions of the id...
Credit scoring--the scientific approach to determining which applicants are granted credit--is one of the by-products of the phenomenal expansion in consumer credit in the last two decades. Financial institutions have had to develop efficient and sophisticated tools for controlling the granting and monitoring of such credit. These tools are based on statistical and operational research techniques, and represent some of the most successful applications of statistical theory. Still, the area has yet to be recognized in modern statistical textbooks. This work brings together academics and practitioners to consider developments in the subject. The papers discuss how new statistical techniques can be applied in credit scoring, as well as expanding the areas where such scoring techniques are proving useful. The problems in implementing scoring systems and how they were overcome are discussed, as well as the changes in the objectives of such systems. Practitioners and researchers in statistics, operations research, and financial and business theory will find the book a valuable source of current information.
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 a...
Aitken was a mathematician affiliated with the U. of Edinburgh, who made significant contributions to algebra, numerical analysis, and statistics. This memoir begins with his departure from his birth place, Dunedin, New Zealand, in 1923, and covers the first 20 years of his life in Scotland. An introduction provides context. No index. Distributed by ISBS. Annotation copyrighted by Book News, Inc., Portland, OR
Consumer credit has become a topical issue for researchers, regulators and the banking industry in Europe as a result of increasing market integration, regulatory changes and a growing tendency of households to use debt to finance consumption. This study uses a cross-country approach to look at a broad range of issues related to consumer credit in Europe. Focusing on both the supply and demand sides, it takes into account the structure and performance of financial intermediaries, the socio-demographic and economic profile of households and their risk of over-indebtedness, as well as the regulatory framework, such as the new Consumer Credit Directive. In the light of this analysis, measures for the prevention and management of over-indebtedness are presented. This book is essential for postgraduate students and specialists in financial institutions, for regulators and policy-makers who are in charge of efficiency and stability of financial systems.
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Credit scoring is one of the most successful applications of statistical and management science techniques in finance in the last forty years. This unique collection of recent papers, with comments by experts in the field, provides excellent coverage of recent developments, advances and sims in credit scoring. Aimed at statisticians, economists, operational researchers and mathematicians working in both industry and academia, and to all working on credit scoring and data mining, it is an invaluable source of reference.