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From retail gold to AI funds, Chinese institutions move on risk

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From retail gold to AI funds, Chinese institutions move on risk
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ICBC and peers gate leveraged precious metals trading after volatility, as JPMorgan and Goldman Sachs reinforce capital buffers, Nomura builds instant FX settlement with Circle, and MAS advances enterprise AI governance.

The Industrial and Commercial Bank of China (ICBC) and peers have gated leveraged precious metals trading on the Shanghai Gold Exchange following heightened volatility. Meanwhile, China's largest asset manager, E Fund, has capped subscriptions into an AI-heavy fund after exceptional gains fuelled concentration concerns.

The same week, JPMorgan and Goldman Sachs are reinforcing capital buffers, Nomura and Korean banks are rebuilding settlement infrastructure and Singapore's MAS is pushing AI governance from pilot to enterprise deployment.

Read more on the week's key developments:

1. Morgan Stanley tightens liquidity management in private credit

Morgan Stanley's North Haven Private Income Fund fulfilled only 43% of second-quarter redemption requests after investors sought to redeem 11.6% of outstanding units, exceeding the fund's quarterly liquidity limit. Similar redemption restrictions were also introduced by several other private credit managers, highlighting growing pressure across the sector rather than an isolated institution-specific issue.

The development illustrates how large financial institutions are adapting liquidity risk frameworks to an expanding private credit market. Rather than allowing forced asset sales during periods of heavy withdrawals, Morgan Stanley has prioritised orderly liquidity management while preserving portfolio stability. The episode also raises broader questions about valuation practices, investor communication and banks' exposure to non-bank financial intermediaries as private credit continues to grow.

2. JPMorgan reinforces capital resilience through stress testing

JPMorgan emerged from the US Federal Reserve's 2026 stress test with capital levels comfortably above regulatory minimums before announcing higher shareholder distributions. The exercise subjected large banks to severe assumptions including a sharp rise in unemployment, substantial commercial real estate losses and significant equity market declines.

Beyond the headline result, the announcement highlights the importance of capital planning rather than regulatory compliance alone. As second-quarter disclosures become available, investors and peers will be able to compare how institutions manage commercial real estate exposures, consumer credit losses, liquidity buffers and capital allocation under increasingly demanding stress scenarios.

3. Goldman Sachs balances capital strength with shareholder returns

Goldman Sachs also increased shareholder distributions following successful completion of the Federal Reserve's annual stress test. While dividend announcements often attract market attention, the more significant issue is how investment banks continue balancing trading risk, market volatility and capital adequacy while maintaining attractive shareholder returns.

The announcement provides another benchmark for capital efficiency among globally active investment banks. Comparing Goldman Sachs with peers such as JPMorgan and Morgan Stanley will offer greater insight into how institutions are managing capital consumption, trading exposures and earnings resilience through changing market conditions.

4. Wells Fargo continues strengthening its risk management profile

Wells Fargo announced higher capital distributions after completing the Federal Reserve's stress test, marking another milestone in the bank's ongoing efforts to strengthen governance, capital planning and operational resilience following several years of regulatory remediation.

The development is significant because it reflects progress beyond simply satisfying supervisory requirements. Future disclosures on operational risk, commercial real estate exposures, credit quality and capital planning will provide a clearer indication of how far the bank has progressed in rebuilding a more resilient risk management framework.

5. Chinese banks withdraw from retail precious metals trading

Industrial and Commercial Bank of China (ICBC), together with China Construction Bank, Postal Savings Bank of China, Ping An Bank and China Guangfa Bank, has progressively withdrawn retail customers from leveraged precious metals trading on the Shanghai Gold Exchange following heightened market volatility.

Rather than reacting after significant losses occur, these institutions are proactively reducing customer exposure to highly volatile products while redirecting investors towards lower-risk alternatives such as physical gold, exchange-traded funds and accumulation plans. The coordinated response illustrates a more disciplined approach to product governance, conduct risk and retail investor protection.

6. Ping An Bank demonstrates structured product risk management

Among the Chinese institutions reducing retail participation in precious metals trading, Ping An Bank's phased implementation stands out for the way it managed customer transition over several months rather than through an immediate withdrawal.

The approach demonstrates that effective product risk management extends beyond policy decisions to execution. Customer communication, orderly position management and migration towards alternative investment products are becoming increasingly important components of retail banking risk governance as market volatility becomes more frequent.

7. Nomura develops instant FX settlement platform with Circle

Nomura has partnered with Circle to develop an institutional foreign exchange settlement platform using USDC, targeting near-instant settlement for Japanese corporate clients. The initiative aims to reduce settlement delays that continue to expose counterparties to market and operational risk during conventional settlement cycles.

The significance extends beyond digital assets. Faster settlement reduces counterparty exposure, improves liquidity efficiency and lowers operational risk, provided governance, controls and reconciliation processes evolve alongside the technology. The project highlights how settlement infrastructure itself is becoming an increasingly important component of enterprise risk management.

8. Korean banking consortium advances cross-border settlement resilience

Project Pangea brings together Korean and European banking groups to develop payment-versus-payment foreign exchange settlement using regulated stablecoins and existing Swift infrastructure. Participants include Shinhan Bank together with other members of Korea's UniKA banking alliance.

The project demonstrates how financial institutions are seeking to reduce settlement risk rather than simply accelerate payments. By eliminating settlement gaps between counterparties, participating banks are attempting to reduce one of the largest residual operational risks in international foreign exchange markets while maintaining existing governance and messaging standards.

9. E Fund intervenes to manage AI investment concentration

China's largest asset manager, E Fund, sharply reduced subscriptions into one of its AI-related investment funds after exceptional gains fuelled concerns over investor concentration and valuation risks.

Although not a bank, the intervention provides an important signal for financial institutions financing AI infrastructure and technology companies. It illustrates how managers are increasingly using proactive risk controls to moderate investor behaviour before excessive valuations create broader financial stability concerns.

10. Singapore banks prepare for next phase of AI risk governance

The Monetary Authority of Singapore's new Future of Finance Institute provides banks with implementation frameworks covering artificial intelligence, tokenisation and digital finance. Institutions including DBS, OCBC, UOB and Standard Chartered are expected to play leading roles in applying these frameworks within their own organisations.

The initiative marks an important shift from experimentation towards enterprise-wide implementation. As AI moves into core banking operations, institutions will increasingly differentiate themselves through governance frameworks, model oversight, accountability structures and operational controls rather than the technology itself.

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