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Elsevier IFRS 9 and CECL Credit Risk Modelling Guide

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Description

Master the complexities of modern risk management with IFRS 9 and CECL Credit Risk Modelling and Validation. Published by Elsevier, this practical guide helps banks transition to new perspectives in assessing Expected Credit Losses under current accounting standards. The book provides a comprehensive look at a wide range of models and validation procedures. It moves from traditional regression analyses to advanced methods including machine learning, survival analysis, and competing risk modelling. Readers will find specific guidance on handling scarce data and low default portfolios. With worked examples in R and SAS, this resource offers a practical approach to learning the technical skills required for modern credit risk assessment.

Key Features

Covers essential IFRS 9 and CECL accounting standards for bank risk management.

Includes practical worked examples using R and SAS programming languages.

Explores advanced modelling techniques such as machine learning and survival analysis.

Provides specific guidance on managing scarce data and low default portfolios.

Offers a practical approach to credit risk modelling and validation procedures.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
31 January 2019
Listed Since
13 June 2018

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No barcode data available

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