REF: FA321799
DATES: 21 - 25 Oct 2024
CITY: Boston,Massachusetts (USA)
FEE: 5700 £
All Dates & LocationsThe International Financial Reporting Standard 9 (IFRS 9) is a crucial accounting standard that addresses financial instruments' classification, measurement, and impairment. For central banks, understanding IFRS 9's expected credit loss (ECL) model is vital to assess and manage potential credit risks accurately. The aim to equip central bank professionals with the necessary knowledge and practical skills to build IFRS 9 ECL models from scratch using real-world data.
The primary objective of this course is to provide central bank staff with a comprehensive understanding of IFRS 9 and its ECL model. Participants will learn to build robust ECL models using practical data to support effective credit risk management in central banks' operations.
Day 1
Introduction to IFRS 9 and Expected Credit Losses
• Overview of IFRS 9 and its significance for central banks
• Key concepts of the Expected Credit Losses (ECL) model
• Understanding the three stages of credit impairment
• Regulatory context and global adoption of IFRS 9
Day 2
Data Preparation and Quality Assessment
• Identifying relevant data sources for ECL modelling
• Data cleaning, transformation, and validation techniques
• Evaluating data quality and addressing data gaps
• Ensuring compliance with data privacy and security regulations
Day 3
ECL Modelling Techniques and Approaches
• Fundamental methodologies for building ECL models
• Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD) models
• Estimation of transition matrices and macroeconomic factors
• Incorporating forward-looking information in ECL modelling
Day 4
Model Calibration and Validation
• Techniques for calibrating ECL models with practical data
• Backtesting and stress testing the ECL model.
• Validation procedures and model governance
• Model documentation and communication with stakeholders
Day 5
Implementing IFRS 9 ECL Models in Central Banks
• Integration of ECL models into central banks' risk management framework
• Understanding the implications of ECL on capital adequacy and financial stability
• Leveraging ECL insights for better decision-making in credit risk management
• Case studies and real-world examples of successful ECL model implementations