Credit Intelligence & Modelling: Many Paths through the Forest

by Raymond Anderson

Forest Paths is a follow-up to Anderson’s The Credit Scoring Toolkit, published by Oxford University Press in 2007, which was considered the bible of the industry. Where the Toolkit was broad-brush, this book focuses on the model-development process, but not without providing significant context. It assumes little prior knowledge and is appropriate for both university students and practitioners. It is the first real textbook on the topic, including chapters'-end questions.

There are six modules: 1) an introduction to credit and predictive modelling; 2) micro-histories of credit, credit intelligence, and risk modelling; 3) statistical and predictive modelling theory; 4) project management and data assembly; 5) data preparation from sampling to reject inference; and 6) model training through to implementation. Appendices include an extensive glossary, bibliography, and index.

The book is comprehensive, with much applicable to other domains, and includes many historical and contemporary anecdotes as well as numerous examples and illustrations. Although the focus is credit risk, especially in the retail consumer and small-business segments, many concepts are common across disciplines as diverse as psychology, biology, engineering, and computer science, whether academic research or practical use. It also covers issues relating to the use of machine learning for credit-risk assessment.

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420 pages, Kindle Edition

Published July 19, 2019