Unwinding of Crowded AI Trades Drives Sector Rebalancing, A-Share Valuations Return to Neutral Range
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Unwinding of Crowded AI Trades Drives Sector Rebalancing, A-Share Valuations Return to Neutral Range
A-shares corrected meaningfully in July amid deleveraging and style rotation, with defensive and value sectors outperforming; valuation pressure has been released and the policy tone has marginally improved, but weak domestic demand, investment, and credit still constrain a broad recovery.
- The CSI-300, CSI-500, and CSI-1000 fell 7.9%, 17.0%, and 19.7% respectively in July, while the HSI and HSCEI rose 13.1% and 13.9%, showing a significant divergence between onshore and offshore markets.
- Margin purchases as a share of A-share turnover fell to 8.2%, and margin balance declined by about RMB300 billion from its recent high; the report judges that the most difficult stage of deleveraging may have passed.
- Consumer staples, energy, and financials rose 11.5%, 11.1%, and 8.3% respectively, while information technology fell 30.7% due to the unwinding of crowded AI trades and concerns over high valuations.
- As of July 31, the CSI-300’s next-twelve-month P/E was 13.2x, 0.6 standard deviations above the median since 2016, indicating that valuations have returned from the AI-driven expansion at the beginning of the year to a relatively neutral level.
- The Politburo meeting emphasized near-term fiscal execution and pledged to strengthen countercyclical support. Although this is not yet large-scale stimulus, it is expected to provide a buffer for earnings growth in Chinese equities.
- Industrial production stabilized somewhat in June, but fixed asset investment, real estate investment, and household and corporate credit remained weak, leaving the breadth of macro recovery limited.
Report interpretation
Overview
The report reviews China’s equity market in July 2026 and macro data for June. The most prominent features in July were the significant divergence between onshore A-shares and the Hong Kong offshore market, and a rapid rotation from high-valuation, crowded AI trades into defensive and value sectors. Major A-share indices corrected sharply, with information technology and AI-exposed materials and industrials under pressure; consumer staples, energy, and financials were relatively strong. Meanwhile, the share of margin trading and margin balances declined, and CSI-300 valuations fell, indicating that earlier leverage and valuation pressures have been partially released. The policy backdrop improved marginally, but macro data still showed a structure in which production was stronger than demand, external demand was stronger than domestic demand, and innovation investment was stronger than traditional investment.
Core views
First, the July market correction was mainly driven by style rotation, the unwinding of crowded AI trades, and deleveraging, rather than a simple collapse in earnings expectations. Second, margin purchases as a share of turnover have approached cyclical lows seen during previous bull markets, and valuations have also returned to a relatively neutral range, reducing pressure for further sharp market derating. Third, the policy tone is shifting toward greater emphasis on fiscal execution and countercyclical adjustment, which may support earnings growth expectations for Chinese equities in 2026 to 2027. Fourth, macro recovery remains uneven: industry, high-tech manufacturing, and some exports are strong, while consumption, real estate, traditional manufacturing, infrastructure, and credit expansion remain weak. Fifth, short-term market opportunities are more likely to come from sector rebalancing and valuation repair, while a broad trending market still requires confirmation from improvements in domestic demand and the credit cycle.
Analysis framework
The report combines monthly returns of major equity indices and sectors, margin trading and margin balances, fund positioning, earnings forecast revisions, and next-twelve-month P/E ratios to assess market style, crowding, deleveraging progress, and valuation position; it also evaluates the macro environment and its impact on corporate earnings through indicators such as industrial production, retail sales, fixed asset investment, real estate, trade, inflation, credit, social financing, exchange rates, and government bond yields.
Methodology notes
Identify divergences between onshore and offshore markets and market-cap styles through differences in monthly returns among the CSI-300, CSI-500, CSI-1000, HSI, and HSCEI.
In July, major onshore indices fell significantly while Hong Kong indices rose, reflecting stronger pressure from the unwinding of crowded A-share trades and deleveraging, while offshore internet stocks benefited from short covering and policy optimism.
Compare sector returns and combine AI exposure, valuations, and changes in margin trading to assess the migration of capital from growth themes toward defensive and value sectors.
Consumer staples, energy, and financials led gains, while information technology and AI-exposed materials and industrials declined, showing a rapid reversal of trades previously concentrated in the AI theme.
Compare the CSI-300’s next-twelve-month P/E with the historical median and standard deviation since 2016.
The P/E ratio of 13.2x is about 0.6 standard deviations above the historical median, indicating valuations remain slightly above the long-term center but are clearly below the expansion level previously driven by the AI rally.
Jointly examine industrial production, consumption, investment, trade, inflation, loans, and social financing to assess the strength and breadth of economic growth.
Industry and high-tech manufacturing stabilized, but fixed asset investment, real estate, private investment, and credit remained weak, indicating that the economy still relies on external demand and advanced manufacturing support, while endogenous demand has not yet formed a broad recovery.
Asset mapping & comparison
Structured mapping from thesis to named assets (strengths, weaknesses, peers, risks).
- CSI-300Benchmark for China large-cap blue-chip stocks
- Strengths
- Valuations have fallen back to a relatively neutral range, and consensus EPS for 2026 still maintains relatively high growth.
- Weaknesses
- Weak domestic demand and credit may constrain earnings delivery, and policy support has not yet reached the level of large-scale stimulus.
- Comparison
- The July decline was smaller than those of the CSI-500 and CSI-1000, but it significantly lagged the HSI and HSCEI.
- Risks
- Downward revisions to earnings expectations, policy execution falling short of expectations, and deterioration in external risk appetite.
- CSI-500 and CSI-1000Benchmarks for China small- and mid-cap stocks
- Strengths
- If liquidity and risk appetite recover, they have higher rebound elasticity.
- Weaknesses
- More sensitive to the unwinding of crowded trades, deleveraging, and contraction in growth valuations.
- Comparison
- They fell 17.0% and 19.7% respectively in July, significantly underperforming the CSI-300.
- Risks
- Continued margin contraction, cooling of thematic trades, and insufficient earnings support.
- HSI and HSCEIBenchmarks for Hong Kong offshore Chinese equities
- Strengths
- Supported by short covering, a rebound in internet stocks, and policy optimism.
- Weaknesses
- If the rally is mainly driven by position covering, sustainability still requires validation from earnings and fund flows.
- Comparison
- They rose 13.1% and 13.9% respectively in July, significantly outperforming major A-share indices.
- Risks
- Cooling policy expectations, changes in overseas liquidity, and internet sector earnings falling short of expectations.
- Consumer staples, energy, and financialsBeneficiary directions of defensive and value styles
- Strengths
- They have relative resilience during market volatility and growth-stock derating phases, and receive support from capital rotation.
- Weaknesses
- If economic demand remains weak, consumer and financial fundamentals may still come under pressure.
- Comparison
- Their July performance was significantly better than information technology, materials, and industrials.
- Risks
- Transfer of trade crowding, declines in commodity prices, deterioration in asset quality, and consumption recovery falling short of expectations.
- Information technology and AI-related sectorsPreviously high-valuation growth and thematic trade directions
- Strengths
- High-tech manufacturing and AI-related production maintain rapid growth, and the long-term industry trend remains supportive.
- Weaknesses
- Positions are crowded and valuations are high, making them highly sensitive in the short term to changes in risk appetite and financing conditions.
- Comparison
- Information technology fell 30.7% in July, making it the weakest-performing sector; AI-exposed materials and industrials also lagged significantly.
- Risks
- Further valuation compression, insufficient earnings delivery, slowing capital expenditure, and further unwinding of crowded trades.
- Chinese government bonds and the renminbiMacro assets reflecting domestic growth, policy, and financial conditions
- Strengths
- Weak economy and credit provide some support for bonds, with the 10-year government bond yield remaining low.
- Weaknesses
- Stronger countercyclical policies may push up interest rates and alter exchange rate expectations.
- Comparison
- As of end-July, the 10-year China government bond yield was around 1.7%, and USD/CNY was around 6.75.
- Risks
- Changes in the intensity of fiscal stimulus, capital flows, external interest rates, and fluctuations in the trade environment.
Key data
- July returns of major A-share indicesCSI-300 -7.9%; CSI-500 -17.0%; CSI-1000 -19.7%Small- and mid-cap indices fell more, showing more pronounced pressure on high-beta and crowded trade directions.
- July returns of major Hong Kong indicesHSI +13.1%; HSCEI +13.9%The offshore market was supported by short covering and policy optimism.
- Margin trading indicatorsMargin purchases accounted for 8.2% of A-share turnover; margin balance declined by about RMB300 billion from its recent highThe report believes the most difficult stage of deleveraging may have passed.
- Leading sectors in JulyConsumer staples +11.5%; energy +11.1%; financials +8.3%Capital rotated toward defensive and value styles.
- Lagging sectors in JulyInformation technology -30.7%; materials -13.8%; industrials -10.6%Mainly affected by the unwinding of crowded AI trades and concerns over high valuations.
- CSI-300 earnings expectationsConsensus EPS growth of 19% in 2026Data as of end-July 2026.
- CSI-300 valuationNext-twelve-month P/E of 13.2xAs of July 31, about 0.6 standard deviations above the median since 2016.
- June industrial productionUp 5.3% year-on-yearHigher than 4.5% in May, with high-tech manufacturing and AI-related production performing strongly.
- June retail sales of consumer goodsRMB4.27 trillion, up 1.0% year-on-yearRecovered from a 0.6% year-on-year decline in May, but automobile and housing-related consumption remained weak.
- Fixed asset investmentDown 10.0% year-on-year in June; down 5.7% year-on-year cumulatively in the first halfReal estate investment fell 18.0% cumulatively, and private investment fell 8.5% cumulatively.
- New loans in JuneRMB1.61 trillionThe weakest June performance since 2021, with both corporate and household loans weak.
- Financial conditionsSocial financing growth of 7.4%; USD/CNY at 6.75; 10-year China government bond yield around 1.7%Credit expansion was weak, and long-end interest rates remained low.
Impact & implications
At the market level, valuation declines and margin deleveraging have reduced the risk of a continued rapid valuation compression in A-shares, and defensive, value, and relatively stable cash-flow sectors may continue to attract capital. Marginal policy improvement helps stabilize earnings expectations, but before fiscal measures are implemented and transmitted to consumption, investment, and credit, index performance may remain volatile and sector performance highly divergent. For growth sectors, the AI industry trend has not been negated, but crowded positioning and high valuations need to be digested in the short term; for macro-sensitive assets, real estate, private investment, and loan data remain key to judging whether the economy can shift from production stabilization to demand recovery.
Risks
- Domestic consumption, real estate, traditional manufacturing, and infrastructure investment remain persistently weak, and the scope of economic stabilization may be too narrow.
- New loans and social financing growth are weak, and the credit cycle has failed to effectively support corporate earnings and household demand.
- The Politburo meeting sent positive signals, but if fiscal execution is slow or countercyclical support is weaker than expected, the market may revise earnings forecasts downward again.
- Crowded positions in AI and other growth themes may continue to unwind, and high-valuation sectors still face further correction.
- Export growth is concentrated in high-tech, automobiles, and some consumer goods, and changes in external demand may weaken support from the production side.
- Rapid market rotation may increase volatility, and defensive and value sectors may also experience pullbacks after trades become overly concentrated.
- Inflation transmission remains insufficient, and weak domestic demand may limit corporate pricing power and margin improvement.
What to watch
- Whether the pace of fiscal spending and new countercyclical policies can translate from policy statements into actual demand.
- Whether margin purchases as a share of turnover, margin balances, and turnover structure confirm the end of deleveraging.
- The direction of CSI-300 earnings forecast revisions and whether the 13.2x valuation can be supported by earnings delivery.
- Whether retail sales, real estate sales and investment, private investment, and household loans can continue to improve.
- Whether strength in high-tech manufacturing and AI-related production can spread to traditional manufacturing and services.
- Whether the rise in the HSI and HSCEI is sustained by continued fund inflows and earnings improvement, rather than driven only by short covering.
- Changes in valuations, position crowding, and earnings expectations for the information technology sector after the sharp correction.
- Changes in financial conditions reflected by the RMB exchange rate, the 10-year China government bond yield, and social financing growth.