Abstract

Abstract Since the introduction of the advanced internal rating based approach through the Basel framework, financial institutions and regulators have been dealing with the increased complexity of Loss Given Default models. The development and validation of the parameters has become more formalized and standardized as more prescriptive regulations and guidelines have been published by the European Parliament, European Central Bank and European Banking Authority. Furthermore, following the introduction of IFRS 9 in January 2018 even more emphasis is put on the development and validation as the standard poses new challenges to the way models are designed, developed, validated and increased complexity through the introduction of the lifetime and forward-looking adjustments. This paper address the challenges faced by banks and regulators when assessing and validation the IFRS 9 - Loss Given Default parameters and framework. Moreover, it describes a non-exhaustive list of tests that can be performed to establishing the accuracy, discrimination power and stability of the Loss Given Default outputs. It is important that the framework built around the modeling, development and validation process allows models to be easily integrated in the management framework in a flexible manner that can facilitate any changes that must be brought to the models. Hence, this paper outlines a non-exhaustive list of quantitative validation tests considered would satisfy the requirements of the IFRS 9 standard.

Highlights

  • The global economic downturn of the last decade highlighted significant limitations of the prevailing IAS 39 incurred loss provisioning framework

  • Gross Domestic Product (GDP), inflation into the models to increase the accuracy of forecasts ensuring the products respond to the market conditions

  • loss given default (LGD) types under IFRS 9 The validation framework of the LGD Parameter should ensure recoveries are accurately reflected in the model and the workout process is adequate, this has to be backed by appropriate internal governance arrangement and documentation

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Summary

Introduction

The global economic downturn of the last decade highlighted significant limitations of the prevailing IAS 39 incurred loss provisioning framework. Throughout the life of the model, the monitoring of the model’s performance serves as an early warning indicator. Monitoring – performed on a more frequent basis (monthly or quarterly) and acts as an early warning system for model deterioration

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