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Praise for Credit Risk Scorecards "Scorecard development is important to retail financial services in terms of credit risk management, Basel II compliance, and marketing of credit products. Credit Risk Scorecards provides insight into professional practices in different stages of credit scorecard development, such as model building, validation, and implementation. The book should be compulsory reading for modern credit risk managers." —Michael C. S. Wong Associate Professor of Finance, City University of Hong Kong Hong Kong Regional Director, Global Association of Risk Professionals "Siddiqi offers a practical, step-by-step guide for developing and implementing successful credit scorecards...
ÔI read with great interest the current state of Islamic economics and finance as examined by Muhammad Akram Khan, who has given a fresh outlook for the readers to find out its limitations and to search for its solutions. Khan has read widely in the subject matter, and presented his views with reference to literature and thoughtful and logical arguments. While many may not agree with his arguments or will have a better explanation, I find his arguments at least worthy of examination to strengthen the arguments of those who might oppose him. Although Khan is critical of the subject matter, he is very sympathetic to the greater objectives of Islamic economics and provides his own prescription...
At present, computational methods have received considerable attention in economics and finance as an alternative to conventional analytical and numerical paradigms. This Special Issue brings together both theoretical and application-oriented contributions, with a focus on the use of computational techniques in finance and economics. Examined topics span on issues at the center of the literature debate, with an eye not only on technical and theoretical aspects but also very practical cases.
Over eight modules, the book covers consumer and business lending in both the developed and developing worlds, providing the frameworks for both theory and practice.
Embark on a journey through the intricate landscape of predictive modeling, where the fusion of conceptual clarity and robust statistical techniques creates powerful tools for decision-making. This book distills years of experience into a standardized methodology that empowers professionals across industries—from banking to telecommunications—to construct scorecards that predict outcomes with precision and confidence. In a world driven by data, the ability to transform complex information into actionable insights is paramount. This is your essential guide to mastering the art and science of model building. With practical examples, real-world case studies, and step-by-step guidance, this ...
This profound book is a powerful yet balanced critique of mainstream economics that makes a forceful plea for taking economics out of its secular and occident-centred cocoon. It presents an innovative and formidable case to re-link economics with moral and egalitarian concerns so as to harness the discipline in the service of humanity. M. Umer Chapra is ranked amongst the Top 50 Global Leaders in Islamic economics (ISLAMICA 500, 2015) and has been awarded with two prestigious awards for his contributions to the field: Islamic Development Bank Award for Islamic Economics (1989) and the King Faisal International Prize for Islamic Studies (1989).
A better development and implementation framework for credit risk scorecards Intelligent Credit Scoring presents a business-oriented process for the development and implementation of risk prediction scorecards. The credit scorecard is a powerful tool for measuring the risk of individual borrowers, gauging overall risk exposure and developing analytically driven, risk-adjusted strategies for existing customers. In the past 10 years, hundreds of banks worldwide have brought the process of developing credit scoring models in-house, while ‘credit scores' have become a frequent topic of conversation in many countries where bureau scores are used broadly. In the United States, the ‘FICO' and â...
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