
The EWI framework can be summarized as M.E.R.I.T. (Measures, Escalation, Reporting, Integrated systems, and Thresholds). While an appropriate set of measures is the first essential building block for a robust EWI framework, it will be a mere academic exercise if the framework is eventually not linked to escalation processes. The journey from measures to escalation is facilitated by timely reporting with the support of integrated systems and data as well as relevant and properly calibrated thresholds.
Early warning indicators (EWIs) are metrics used by banks to detect potential liquidity issues, allowing proactive risk management to maintain financial stability.
EWIs enable banks to monitor liquidity risks in real-time, helping them take corrective actions promptly and avoid liquidity shortages during volatile market conditions.
Banks select EWIs based on their specific balance sheet structure, business activities, and market environment to align with their liquidity risk management framework.
The LCR is a key EWI that assesses a bank's ability to cover short-term liabilities with high-quality liquid assets, indicating its liquidity resilience.
By using EWIs, banks can anticipate liquidity challenges, adjust their strategies, and strengthen their position against potential market disruptions.
Common EWIs include deposit outflows, market-wide stress indicators, liquidity coverage ratios, changes in funding costs, and fluctuations in asset prices.
EWIs should be monitored regularly, with some indicators reviewed daily, weekly, or monthly, depending on the bank's risk appetite and market conditions.
EWIs provide input data for stress testing scenarios, helping banks assess the impact of potential market disruptions on their liquidity positions.
When an EWI triggers a risk signal, the bank's management initiates discussions, evaluates the situation, and implements corrective measures to maintain liquidity.
Historical data analysis helps banks calibrate EWI thresholds accurately, ensuring they reflect both normal and stress market conditions for effective risk monitoring.