IFRS 9 Overview
International Financial Reporting Standard 9 (IFRS 9) came into force on 1 January 2018. With it came a principle change in how credit risk loss allowances are calculated for recognition on the balance sheet. The new standard requires losses to be recognised on an expected basis, unlike the incurred method as directed under the IAS 39 approach. Any accounts that have experienced a significant increase in credit risk since inception must have their lifetime expected loss considered, with 12 months expected losses considered for all other accounts.
We are recognised as thought leaders in this area and have been involved in over 20 IFRS 9 projects either designing, developing, validating or advising. Through this we have gained a deep understanding of the methodologies available, key decisions to drive the level and volatility of allowances and observed challenges of development and implementation. We have also been involved in the audit process and so understand the approach of auditors and their expectations.
The requirement for IFRS 9 services continues as we:
Focus on supporting our clients with phase 2 / post implementation optimisation such as production of value-added reporting, model monitoring, governance and ongoing maintenance
Support new entrants into the UK financial services market - we have designed a specific approach applicable for organisations who do not have any historical data to model from
Recognise that a new approach for MI needs to be considered for IFRS 9 given the increased number of moving parts and the use of forward looking information for loss emergence
Provide the on-going macro economics scenarios for forward looking elements inputs (click here for information on 4most’s economic service)
Recognise that significant benefits can be gained through the utilisation of the model in a range of other capacities, these include:
Return optimisation – the lifetime risk view provided from the IFRS 9 models can be used in a lifetime returns engine to drive optimal acquisition decisions and ensure that risk vs reward are aligned for all approvals. This includes the development of risk based pricing and cut-off models
Forecasting and stress testing – the ability to model the risk evolution with varying economic scenarios allows the output to be used to forecast both impairment and RWA expectations of the life of all assets and, with adjustments, can also accommodate new business expectations. The inclusion of severe economic scenarios also allows the same model to be utilised for stress testing purposes
Portfolio monitoring and reporting – the availability of the granular lifetime estimates enables detailed forward looking reporting to be produced for committee MI packs. These add significant information to standard arrears measures and can provide early warnings of emerging risks or risk appetite breaches.