Climate risk’s invisible threat: What ASEAN banks aren’t accounting for

Three months ago, I sat in a quarterly risk committee meeting at an Indonesian bank, watching a climate risk update presented in twelve slides over fifteen minutes. The presentation covered taxonomy alignment, sustainable finance commitments, and progress against the bank’s net-zero pathway. It was professional, well-researched, and accurate. It also did not mention the bank’s exposure to physical flood risk across its real estate book, the transition risk inside its coal-related loans, or the basis on which any of those risks were being priced into provisioning.

After fifteen years inside Indonesian risk functions, I have come to see that pattern as the defining shape of climate risk inside the region’s banking sector. The reporting infrastructure has matured rapidly. The provisioning infrastructure underneath has not. The gap between what banks disclose about climate and what their balance sheets actually carry has become the most consequential unpriced exposure in ASEAN banking.

The framework that was built

Indonesia’s OJK has, over the past three years, built one of the more thoughtful climate risk frameworks in ASEAN. The Sustainable Finance Roadmap, the green taxonomy, the climate disclosure requirements, the architecture is in place, and Singapore, Malaysia, and the Philippines have moved in parallel. Most major banks now publish annual climate disclosures, often aligned to TCFD recommendations. The disclosures are real work. They are not the same thing as risk management.

Where the exposure actually sits

Three categories of climate exposure inside Indonesian bank balance sheets are visible enough to name and large enough to matter.

Physical climate risk in property and infrastructure. A significant share of commercial real estate financing sits in coastal cities exposed to subsidence, tidal flooding, and increasingly severe wet-season rainfall. The collateral underlying these loans is rarely revalued against forward-looking climate scenarios. The provisioning logic assumes the asset retains its current value. The asset, increasingly, does not.

Transition risk in carbon-intensive sectors. Loans extended to coal, palm oil, and heavy industrial sectors carry exposure to a rapidly evolving regulatory environment, domestic carbon pricing, the European Union’s deforestation regulation, and sector-specific phase-out commitments. The credit framework that priced these loans five years ago did not anticipate that some underlying assets could become stranded inside the loan tenor.

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Cascading climate risk in adjacent sectors. The most under-discussed exposure is not the direct one. It is the credit risk inside borrowers whose own portfolios, supply chains, or customer bases are climate-exposed. A logistics company is not a climate-exposed borrower in the conventional sense. A logistics company whose largest customer is a flood-prone factory is.

Why the framework misses it

The disclosure architecture and the provisioning architecture were built for different purposes, and they have not been reconciled.

Disclosure frameworks make the institution’s climate position legible to external stakeholders. They are not designed to drive loan-level loss provisioning, capital adequacy, or pricing inside the bank.

Provisioning frameworks were built before climate was on the regulatory radar. The expected credit loss model accommodates forward-looking information in principle, but most banks still apply it with historical loss data and short-horizon scenarios. Climate risk operates on a longer horizon than the provisioning logic was built for.

What is starting to work

A few institutions are beginning to close the gap.

Climate-adjusted credit reviews. Some banks now incorporate climate scenarios into credit committee processes for large or long-dated exposures. The discipline of forcing the question into the same room as the lending decision is producing more honest pricing.

Sector concentration limits with climate triggers. Some institutions set internal limits on exposure to high transition-risk sectors and lower those limits as policy clarity improves. The mechanism is imperfect. It is the closest thing to a working transition risk control I have seen in the region.

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Collateral revaluation under climate scenarios. The most rigorous response I have seen comes from institutions revaluing real estate collateral under multiple climate trajectories, not just the central case. The revaluation rarely changes a single loan’s status. It consistently changes the capital the bank holds against the portfolio.

What needs to happen

Three moves would meaningfully reduce systemic exposure.

Connect disclosure to provisioning. The climate analyses that flow into TCFD-style reports should also flow into expected credit loss calculations, capital planning, and pricing. The reports and the reserves should be telling the same story.

Require forward-looking collateral valuation for long-dated exposures. Where loan tenors extend across plausible climate horizons, the collateral assumption should be tested against those horizons rather than against present-day comparables.

Bring transition risk into supervisory stress testing. ASEAN supervisors already run credit, liquidity, and market stress tests. They should be running transition stress tests, modelling specific policy scenarios across carbon-intensive sectors and measuring portfolio capital impact.

The macro stakes

Indonesia is among the most climate-exposed major economies in the world, with a banking sector whose stability matters regionally. The disclosure architecture the country has built is genuinely good. The provisioning architecture has not caught up.

The climate risk inside Indonesian bank portfolios is not theoretical. It sits on balance sheets now, accruing exposure that is not being priced, against scenarios the institutions’ own disclosures already say are coming. The bill, when it arrives, will not be paid by the disclosure framework. It will be paid by the capital base. The window to close that gap is closing.

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