The practice of lending: a guide to credit analysis and credit risk

By:

Yhip, Terence M

Material type: Text

TextPublication details: Palgrave Macmillan Switzerland 2020Description: xxvi, 451 pISBN:

9783030321994

Subject(s):

DDC classification:

332.7 YHI

Summary: About this book This book provides a comprehensive treatment of credit risk assessment and credit risk rating that meets the Advanced Internal Risk-Based (AIRB) approach of Basel II. Credit risk analysis looks at many risks and this book covers all the critical areas that credit professionals need to know, including country analysis, industry analysis, financial analysis, business analysis, and management analysis. Organized under two methodological approaches to credit analysis—a criteria-based approach, which is a hybrid of expert judgement and purely mathematical methodologies, and a mathematical approach using regression analysis to model default probability—the book covers a cross-section of industries including passenger airline, commercial real estate, and commercial banking. In three parts, the sections focus on hybrid models, statistical models, and credit management. While the book provides theory and principles, its emphasis is on practical applications, and will appeal to credit practitioners in the banking and investment community alongside college and university students who are preparing for a career in lending.

List(s) this item appears in: Finance & Accounting | Public Policy & General Management

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Holdings
Item type	Current library	Collection	Call number	Copy number	Status	Date due	Barcode
Book	Indian Institute of Management LRC General Stacks	Finance & Accounting	332.7 YHI (Browse shelf(Opens below))	1	Checked out	09/26/2023	002899

About this book
This book provides a comprehensive treatment of credit risk assessment and credit risk rating that meets the Advanced Internal Risk-Based (AIRB) approach of Basel II. Credit risk analysis looks at many risks and this book covers all the critical areas that credit professionals need to know, including country analysis, industry analysis, financial analysis, business analysis, and management analysis. Organized under two methodological approaches to credit analysis—a criteria-based approach, which is a hybrid of expert judgement and purely mathematical methodologies, and a mathematical approach using regression analysis to model default probability—the book covers a cross-section of industries including passenger airline, commercial real estate, and commercial banking. In three parts, the sections focus on hybrid models, statistical models, and credit management. While the book provides theory and principles, its emphasis is on practical applications, and will appeal to credit practitioners in the banking and investment community alongside college and university students who are preparing for a career in lending.

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