Abstract
The full title of the book is Credit Intelligence and Modelling: Many Paths through the Forest of Credit Rating and Scoring. As the title suggests, this 900-page book, published by Oxford University Press, can be considered an encyclopaedia of credit risk and its management. Credit risk modelling is widely used not only by banks and financial institutions, but also by insurance companies, investment fund managers, fintech companies, small and medium enterprises, etc. However, the focus of this book is to assess credit risk in retail consumer and small business segments. Nevertheless, the concepts of credit risk presented in this book can be applied to other areas. No prior knowledge of statistics is required, and the book is written in such a way that both practitioners and students can use it as a reference.
| Original language | English |
|---|---|
| Pages (from-to) | 1-1 |
| Number of pages | 1 |
| Journal | Journal of the Royal Statistical Society. Series A: Statistics in Society |
| DOIs | |
| Publication status | Published - 8 Oct 2024 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 8 Decent Work and Economic Growth
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SDG 9 Industry, Innovation, and Infrastructure
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