Credit Intelligence and Modelling

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.

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Publication Details

Journal
Journal of the Royal Statistical Society Series A (Statistics in Society)
Published
2024-10-08
DOI
https://doi.org/10.1093/jrsssa/qnae102
Citations
1
Primary Topic
Financial Distress and Bankruptcy Prediction
Type
article
Field-Weighted Citation Impact
0.95
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article

Credit Intelligence and Modelling

Kuldeep Kumar
1 citations
Journal of the Royal Statistical Society Series A (Statistics in Society)
Financial Distress and Bankruptcy Prediction
0.95
article

Credit Intelligence and Modelling

Kuldeep Kumar
article en
1 citations

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.

Journal of the Royal Statistical Society Series A (Statistics in Society)Vol. 188(2)
Bond University (AU)
Openalex Percentile: Top 19%
Financial Distress and Bankruptcy Prediction
0.95
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