Earlier, accounting recognised bad debts after the damage became visible. Expected Credit Loss (ECL) changed that completely. Today, accounting asks companies to recognise tomorrow’s risk… today.
Earlier, losses were recognised after default. Now, losses are recognised based on expected future risk. ECL is not about proving a loss happened. It is about assessing whether signs of future loss already exist.
The old “incurred loss” model failed badly during the 2008 financial crisis, COVID stress, NBFC crises, and delayed corporate defaults. Banks and companies often reported “healthy assets” until defaults suddenly exploded. The problem was not that risks appeared overnight. The problem was that accounting recognised them too late.
ECL is about forward-looking accounting –
Traditional accounting looked backward: “Has default happened?”.
ECL looks forward: “What is likely to happen?” This requires assumptions, economic forecasts, customer behavior analysis, and sector stress evaluation.
Judgment became more important than ever – Under ECL, two companies may look at the same customer and arrive at different provisions. Because assumptions differ, risk appetite differs, and economic outlook differs. ECL transformed provisioning from a mechanical exercise into a judgment exercise.
Small warning signs matter more now – Delayed collections, stressed sectors, falling market conditions, declining customer financials, and restructuring discussions. Earlier, these were monitoring points. Today, they can trigger provisions.
ECL affects more than banks – Many corporates still believe ECL is “mainly for banks.”
In reality, it affects trade receivables, inter-company loans, advances, guarantees, and deposits. Every receivable now carries not just value but probability.
During COVID-19, global banks reported massive spikes in ECL provisions under IFRS 9. Example: Major global banks increased provisions by billions despite customers not yet defaulting. This demonstrated that accounting was reacting to expected stress, not actual defaults.
Indian banks significantly increased provisioning after COVID disruptions, NBFC stress, and sectoral slowdowns. Many institutions moved toward data-driven provisioning, scenario analysis, and stress-testing models.
According to IFRS Foundation observations, ECL became one of the most judgment-heavy and scrutinized areas in financial reporting. Auditors and regulators heavily examine assumptions, macroeconomic overlays, probability models, and management bias.
For example, a customer continues operating normally. But payments start slowing, industry demand weakens, and debt levels rise. Legally, no default exists. But under ECL, accounting may still require a provision.
Take another example of a company which has receivables from a developer. Projects are delayed. Sales are slowing. No formal default yet. But the market environment itself increases expected credit risk.
Suppose, a parent company gives long-term funding to a subsidiary. Operations remain ongoing. But losses continue, cash flows weaken, and refinancing pressure rises. ECL requires management to assess whether recoverability assumptions still hold.
ECL reflects a broader shift in accounting from recording events to anticipating risks. Modern accounting is no longer waiting for problems to become visible. It is trying to recognise early signs of financial stress before they fully emerge.
This creates tension for finance teams because provisions affect profits, assumptions affect investor perception, and management often believes
“The customer will recover.” Meanwhile accounting asks “But what if they don’t?”
Expected Credit Loss changed one fundamental principle. Accounting no longer waits for certainty before recognising risk.
Do you think ECL has made financial reporting more realistic or simply more judgment-driven?
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