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Bank credit growth in Asia ex-China rises to an 18-year high

Institution
Morgan Stanley Research
Date
2026-07-21
Authors
Chetan Ahya, Derrick Y Kam, Jonathan Cheung, Kelly Wang, Sudhanshu Agarwal
Company
-
Ticker
-
Industry
Asia Economics / Bank Credit
Rating
-
NeutralHigh confidenceThe report expects Asia ex-China credit growth to remain strong as a capex super-cycle, exports and improving labor-market spillovers support corporate and household loan demand, while China follows a counter-cyclical deleveraging path.
AuthorsChetan Ahya, Derrick Y Kam, Jonathan Cheung, Kelly Wang, Sudhanshu Agarwal
CoverageAsia-Pacific
Business segmentscorporate credit、household lending、trade finance、working capital loans、housing credit、non-resident and cross-border lending
Research firm divisions/subsidiariesMorgan Stanley Asia Limited(Other)、Morgan Stanley India Company Private Limited(Other)、Morgan Stanley Asia (Singapore) Pte.(Other)

AI summary card

Bank credit growth in Asia ex-China rises to an 18-year high

Morgan Stanley believes that a capex super-cycle, trade expansion, and rising PPI inflation are jointly driving stronger credit demand in Asia ex-China, with corporate loans as the main driver and household loans also recovering.

This report is a macroeconomic view and does not include stock ratings, target prices, or upside potential.
Asian economycredit growthcapex cyclecorporate loansPPI inflationbanking system
  • Nominal credit growth in Asia ex-China rose to 8.5% YoY in May 2026, the highest in 18 years; real credit growth adjusted by the GDP deflator also climbed to 6.3% YoY.
  • Growth in capital goods imports, export diffusion, and stronger nominal industrial production indicate that Asia has entered its strongest industrial cycle since the 2000s, with corporate sector credit demand leading.
  • PPI inflation has risen to a 4-year high, boosting demand for working capital loans from supply chains and end users.
  • Loan growth has accelerated most clearly in India, Japan, Singapore, Hong Kong, Australia, and Taiwan; economies such as Korea, Indonesia, and Thailand face structural or policy constraints.
  • China's credit growth has slowed, mainly reflected in weak household loans and property-related financing, while high-growth sectors such as AI, energy, and advanced manufacturing remain relatively strong.

Report interpretation

Overview

This report discusses why credit growth in Asia ex-China has accelerated significantly. Morgan Stanley points out that bank credit growth in the region has risen to the highest level in 18 years, driven by capex, exports and price factors that are jointly boosting corporate financing demand; as non-tech capex and exports spill over into the labor market, household lending has also started to recover. China, by contrast, is experiencing slower credit growth due to its counter-cyclical growth model and deleveraging objectives.

Core views

The core view is that the credit cycle in Asia ex-China is led by the corporate sector and supported by a multi-year capex super-cycle. Bank credit remains the most important source of debt financing for Asia's corporate sector, while corporate bond markets are relatively underdeveloped, so upturns in the industrial and trade cycles transmit more directly into bank lending. Household lending is still within its historical range, but it has rebounded from low levels as employment and consumption improve. China's credit slowdown does not mean demand is weakening across the whole region, but rather reflects policy orientation, property weakness, and structural deleveraging.

Analysis framework

The report uses a combination of regional macro analysis and economy-by-economy breakdown. It first uses nominal and real bank credit growth in Asia ex-China to characterize the aggregate trend, then explains the structural sources through dimensions such as corporate loans, household loans, working capital demand, and cross-border lending, and finally compares the differences in drivers across economies including India, Japan, Korea, Indonesia, Australia, Hong Kong, Singapore, and China.

Methodology notes

  • Macro credit analysisComparison of nominal and real credit growth

    Use both nominal bank credit growth and real credit growth adjusted by the GDP deflator to assess the strength of the credit cycle.

    The report notes that nominal credit growth in Asia ex-China reached 8.5% YoY in May 2026, while real credit growth reached 6.3% YoY, both at 18-year highs.

  • Regional weighted aggregationWeighted by annual bank credit balances in USD terms

    Use each economy's annual nominal bank credit balance in USD as the weight to calculate aggregate indicators for Asia ex-China.

    This method is used to construct regional credit growth indicators, giving greater weight to economies with larger credit outstanding balances.

  • Capex cycle trackingThree-month moving average of capital goods import growth

    Use capital goods import growth as a high-frequency indicator to track capex momentum.

    The report says the three-month moving average of capital goods import growth reached 33% YoY in May 2026, the highest since 2004, indicating strong capex momentum.

  • Price and working capital transmissionPPI and nominal industrial production linkage

    Rising PPI and improving real activity lift nominal industrial production and increase demand for supply-chain working capital loans.

    PPI inflation in Asia ex-China rose to 9.0% YoY, while non-commodity PPI rose to 4.3%; price pressures transmitted through upstream and downstream sectors increased corporate credit demand.

Asset mapping & comparison

Structured mapping from thesis to named assets (strengths, weaknesses, peers, risks).

  • Banking systems in Asia ex-China
    Direct beneficiary of the credit cycle
    Strengths
    Strong demand for corporate loans, trade finance, and working capital loans, while bank credit remains the most important source of external financing for the region's corporates.
    Weaknesses
    Credit structures differ significantly across economies, and household lending is still influenced by policy, property, and consumer confidence.
    Comparison
    Compared with corporate bonds and private credit, banks and non-bank financial companies account for a higher share of funding flows to Asia's commercial sector.
    Risks
    A decline in PPI, slower exports, cooling capex, or rising credit costs could weaken loan growth.
  • India bank and NBFC credit
    Clear acceleration in growth
    Strengths
    Strong domestic demand, rising WPI, and easing RBI regulation keep both corporate and household lending robust.
    Weaknesses
    Part of the growth is driven by the recovery in unsecured personal loans and the regulatory environment, so credit quality should be monitored.
    Comparison
    India's corporate loan growth and NBFC retail loan growth stand out within the region.
    Risks
    Weaker consumer momentum, renewed regulatory tightening, or rising credit risk.
  • Japan bank lending
    Supported by corporate capex
    Strengths
    Corporate loan growth is notable, with capex, supply chain rebuilding, and digital transformation supporting funding demand.
    Weaknesses
    Long-term sustainability still depends on the continuation of the corporate investment cycle.
    Comparison
    Japan's loan growth has reached a new high under the available data definition since 1999.
    Risks
    Slower capex, weaker external demand, or rising credit costs.
  • Australia bank housing credit
    Potential drag on overall loan growth
    Strengths
    Current overall loan growth and corporate lending remain relatively strong.
    Weaknesses
    Housing-related loans account for a large share of bank lending, so changes in house prices and policy have a significant impact on total lending.
    Comparison
    Compared with corporate loans, housing loans may slow with about a six-month lag to house prices.
    Risks
    Changes in negative gearing and capital gains tax policies, interest rate pressure, falling house prices, and economic slowdown.
  • China credit
    Counter-cyclical slowdown and structural divergence
    Strengths
    Credit remains relatively strong in high-growth areas such as AI, energy, and new frontiers in manufacturing.
    Weaknesses
    Property and household loans are weak, and overall loan and social financing growth is slowing.
    Comparison
    Unlike the pro-cyclical expansion in Asia ex-China, China is using the window of strong exports to reduce leverage.
    Risks
    Property weakness, deflationary pressure, weak wage growth, and insufficient consumer confidence.

Key data

  • Nominal credit growth in Asia ex-China8.5% YoY, May 2026The report says this is the highest in 18 years.
  • Real credit growth in Asia ex-China6.3% YoYAfter adjustment by the GDP deflator, this is also at an 18-year high.
  • Capital goods import growth33% YoY, three-month moving average, May 2026The report says this is the highest since 2004 and is a high-frequency indicator of capex momentum.
  • Asia nominal industrial production growth12.5% YoY, May 2026Reflects strong exports and capex.
  • PPI inflation in Asia ex-China9.0% YoYThe report says this is a 4-year high, boosting working capital demand.
  • Non-commodity PPI in Asia ex-China4.3%The report says this is a 3.5-year high, showing a broadening of price pressures.
  • Household loan growth6.6% YoY, May 2026Gradually improved from the low of 5.6% in September 2025.
  • India corporate loan growth18.3% YoY, May 2026The report says this is the highest since 2012.
  • Japan total loan growth7% YoYThe report says this is a new high under the available data definition since 1999.
  • Japan corporate loan growth8.4% YoY, May 2026Corporate capex, supply chain rebuilding, and digital transformation support funding demand.
  • China total loan growthfell from 6.2% YoY in December 2025 to 5.1% in June 2026Household loans slowed first, followed by corporate loans.
  • China total social financing growthfell from 8.5% YoY to 7.5%Consistent with the slowdown trend in loan growth.

Impact & implications

If the report's view proves correct, banking systems in Asia ex-China will continue to benefit from corporate credit expansion and the capex cycle, especially in markets such as India, Japan, Hong Kong, and Singapore where loan growth is accelerating. At the macro level, credit expansion supports improvements in investment, production, and employment; at the asset level, bank loan growth may improve banks' revenue momentum, but Australia's housing policies, Korea's caps on household lending, insufficient private capex in Indonesia, household deleveraging in Thailand, and weak property-related lending in China will still create divergence.

Risks

  • A decline in oil prices could pull down PPI inflation and naturally slow nominal credit growth.
  • If the capex super-cycle cools, it will weaken demand for corporate loans and industrial-production-related financing.
  • If export momentum slows simultaneously in both tech and non-tech sectors, it could affect corporate cash flow, employment, and household credit.
  • Australia's housing policies and falling house prices could suppress housing credit growth.
  • Caps on household loan growth in Korea, insufficient private capex in Indonesia, and household deleveraging in Thailand will constrain credit expansion in some economies.
  • China's property weakness, deflationary pressure, and contraction in household lending may continue to drag on overall credit growth.
  • Rapid expansion in bank credit may create future credit cost and asset quality risks.

What to watch

  • Whether nominal and real bank credit growth in Asia ex-China remains elevated.
  • Whether capital goods import growth, industrial production growth, and export diffusion continue.
  • Trends in PPI and non-commodity PPI, especially the impact of falling oil and commodity prices on nominal loan demand.
  • Whether the gap between corporate loan growth and household loan growth narrows.
  • Whether loan growth in India, Japan, Hong Kong, Singapore, Australia, and Taiwan can be sustained.
  • China's structural divergence in household loans, property-related loans, social financing growth, and credit to AI, energy, and advanced manufacturing.
  • Indicators of consumption and household credit demand such as employment, retail sales, and vehicle registrations.
Zhejiang ICP No. 2022035445-5
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