JOURNAL ARTICLE

Credit Intelligence and Modelling.

  • Published In: Journal of the Royal Statistical Society: Series A (Statistics in Society), 2025, v. 188, n. 2. P. 631 1 of 3

  • Database: Business Source Ultimate 2 of 3

  • Authored By: Kumar, Kuldeep 3 of 3

Abstract

The article discusses a comprehensive book titled "Credit Intelligence and Modelling: Many Paths through the Forest of Credit Rating and Scoring," which serves as an encyclopedia of credit risk and its management. The book focuses on assessing credit risk in retail consumer and small business segments but offers concepts that can be applied to other areas as well. Written in a way that is accessible to both practitioners and students, the book covers various modules that delve into credit intelligence systems, predictive modeling, credit lifecycle analysis, and tools used in credit intelligence. It is recommended as a valuable desktop reference for academics, students, practitioners, and actuaries involved in credit risk management. [Extracted from the article]

Additional Information

  • Source:Journal of the Royal Statistical Society: Series A (Statistics in Society). 2025/04, Vol. 188, Issue 2, p631
  • Document Type:Article
  • Subject Area:Business and Management
  • Publication Date:2025
  • ISSN:0964-1998
  • DOI:10.1093/jrsssa/qnae102
  • Accession Number:184468620
  • Copyright Statement:Copyright of Journal of the Royal Statistical Society: Series A (Statistics in Society) is the property of Oxford University Press / USA and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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