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Foreign capital turned net outflow in May, state team accelerated ETF reduction, retail financing hit a new high

Institution
Morgan Stanley
Date
20260603
Authors
Daniel K Blake, Kristal Ji, Chloe Liu, Laura Wang, Vicky Wu
Company
Multiple companies, market
Ticker
-
Industry
AI, Information Technology Services, Multiple industries, Strategy
Rating
MixedMedium confidenceShort-termForeign capital turned to net outflow, the state team's ETF reduction accelerated, but domestic retail financing balance reached a historical high, private funds significantly increased their positions, and industry allocation shifted toward technology hardware and semiconductors
AuthorsDaniel K Blake, Kristal Ji, Chloe Liu, Laura Wang, Vicky Wu
CoverageChina、Hong Kong
Research firm divisions/subsidiariesMorgan Stanley Asia Limited(Subsidiary/Legal Entity)

AI summary card

Foreign capital turned net outflow in May, state team accelerated ETF reduction, retail financing hit a new high

US and European funds experienced their first monthly net outflow since May 2025; state team's CSI 300 ETF selling doubled to $21 billion, while retail financing balances rose to a record high of 2.9 trillion yuan, and private funds added significant positions of 386 billion yuan

Fund FlowPosition TrackingChina-Hong Kong MarketState TeamRetail InvestorsForeign CapitalETFFinancing Balance
  • US and European long-term funds had a net outflow of $500 million in May, passive inflow slowed to $1.1 billion (from $2.5 billion in April), active outflow accelerated to $1.6 billion (from $1.2 billion in April)
  • The state team's CSI 300 ETF selling increased to $21 billion (from $8 billion in April), support weakened amid AI tech stock rally
  • A-share margin balances increased by 7% to a record high of 2.9 trillion yuan, retail participation significantly warmed up, small orders' daily net inflow recovered to 33 billion yuan
  • Private fund management scale increased by 386 billion yuan RMB in May (only 10.8 billion yuan in April), high-net-worth individuals actively participated
  • Southbound flows significantly slowed to $1.6 billion (from $7.2 billion in April), but foreign passive funds continued to flow into CSI 300, indicating sustained interest in A-shares
  • Active funds added positions in capital goods, tech hardware, and semiconductors, reduced holdings in consumer services, biopharma, and discretionary retail
  • Individual stocks: Montage Technology, Xiaomi, Lenovo were most added; Alibaba, Meituan, H World were most reduced

Report interpretation

Overview

This monthly tracking report details the fund flows and position changes in China and Hong Kong stock markets for May 2026. The report covers foreign long-position fund flows, A-share market liquidity (state team, retail investors, private funds), southbound/northbound flows, and active fund sector and stock positioning changes. Core findings show that despite short-term outflows from foreign capital and accelerated ETF reductions by the state team, domestic retail investors and private funds significantly increased participation, with financing balances reaching a historic high, reflecting a complex pattern of diverging capital dynamics.

Core views

Regarding foreign capital flows, long-position funds registered in the US and Europe turned to a net outflow of $500 million in May, the first monthly net outflow since May 2025 (excluding the Middle East conflict in March 2026). Passive fund inflows slowed significantly to $1.1 billion (from $2.5 billion in April), while active fund outflows accelerated to $1.6 billion (from $1.2 billion in April). Cumulative foreign inflows for the year-to-date (five months) reached $10 billion, equivalent to 80% of the full-year 2025 inflow. The underweight in Chinese exposure within global emerging market funds remained at 1.3 percentage points, but emerging market and APAC ex-Japan funds deepened their underweight to 6.2 and 4.0 percentage points respectively. A-share liquidity showed distinct structural features. The state team's reduction through the CSI 300 ETF accelerated significantly in May to $21 billion, doubling from $8 billion in April, though still below the peak of $84 billion in January; overall domestic passive fund (including broad-based, sectoral, and thematic ETFs) outflows reached $53 billion (from $39 billion in April). In contrast, retail participation significantly intensified: new accounts slightly increased to 2.8 million, small orders (under RMB 40,000, as a proxy for retail activity) daily net inflows recovered to 33 billion yuan (from 20 billion yuan in April), and margin balances increased by 7% to a record high of 2.9 trillion yuan, showing rising leverage activity. Private fund asset management scale surged by 386 billion yuan in May (only 10.8 billion yuan in April), reflecting active participation by high-net-worth individuals in equity markets. Cross-border capital flows saw southbound flows (via Stock Connect) slow significantly to $1.6 billion in May (from $7.2 billion in April), with cumulative YTD inflows at $34 billion, already 20% of the full-year 2025 total. For northbound flows, due to the suspension of real-time data disclosure by the Hong Kong Exchanges and Clearing Limited since August 2024, the report used foreign passive fund flows tracking the CSI 300 as a proxy indicator, which recorded continuous net inflows in May, extending the inflow trend since April, indicating sustained foreign interest in A-shares. In terms of sector positioning, active fund managers significantly increased positions in capital goods, tech hardware, and semiconductors in May, while reducing holdings in discretionary retail, consumer services, and biopharma. At the individual stock level, Montage Technology, Xiaomi, and Lenovo were most added, whereas Alibaba, Meituan, and H World were most reduced.

Analysis framework

The report uses a multi-dimensional fund flow monitoring framework: for foreign long-position funds, based on Morningstar database tracking the largest 40 international funds (SICAV) and 20 US funds (US Funds), covering total assets of approximately $485 billion, aggregating each fund's position value changes to calculate fund flows; for state team operations, using CSI 300 ETF fund flows as a proxy variable (as the state team primarily intervenes via this index ETF); for retail participation, using small order net inflows (under RMB 40,000 per transaction) and margin balances as proxy indicators; for northbound flows, using foreign passive fund flows tracking the CSI 300 as an alternative indicator (as it has a high correlation with historical northbound flows). Sector and stock position analysis is based on GICS industry classification, comparing portfolio weights against MSCI China index weights (active weights), and tracking monthly, quarterly, and year-to-date changes.

Methodology notes

  • Quantitative/Factor/Portfolio TheoryFund Flow/Chip Analysis

    Tiered Monitoring of Fund Flows (Passive vs Active Fund Flows)

    Splitting foreign fund flows into passive (index tracking) and active (stock selection) categories, the former reflects allocation-type capital movements, the latter reflects stock-picking views. When these two diverge, it can identify market drivers. This report shows that in May, passive inflows slowed but continued, while active outflows accelerated, indicating profit-taking by stock-picking capital.

  • Quantitative/Factor/Portfolio TheoryFund Flow/Chip Analysis

    Proxy Indicator for State Team Operations (CSI 300 ETF Flows)

    Since the state team does not directly disclose transaction data, the report uses the redemption flows of the CSI 300 ETF as a proxy variable. Large net redemptions typically suggest the state team is reducing holdings; vice versa. This method is commonly used to monitor the marginal impact of policy capital on the market.

  • Quantitative/Factor/Portfolio TheoryFund Flow/Chip Analysis

    Proxy Indicators for Retail Participation (Small Order Net Inflows + Margin Balances)

    By monitoring small order net inflows (transactions under RMB 40,000, representing retail buy orders) and combined margin balances (representing leverage capital size), we comprehensively judge retail sentiment and speculative activity. Record highs in margin balances often reflect rising risk appetite, but also indicate potential volatility increases.

  • Quantitative/Factor/Portfolio TheoryMulti-factor model

    Aggregated Portfolio Analysis Method for Fund Holdings

    Selecting the top 40 international funds and top 20 US funds by AUM as samples, aggregate their holding data to calculate active weights (portfolio weight - benchmark weight) for sectors and stocks, identifying institutional capital allocation trends by tracking active weight changes. This method assumes higher data quality for larger funds.

Asset mapping & comparison

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

  • Montage Technology (蒙泰科技)
    Most added by active funds, benefiting from the rotation into tech hardware/semiconductor sectors
    Strengths
    Substantially added by both international and US funds, active weight significantly increased
    Comparison
    Leads in semiconductor sector in terms of addition magnitude
  • Xiaomi (小米)
    Significantly added by active funds, benefiting from tech hardware sector
    Strengths
    Simultaneously added by international and US funds
    Comparison
    Added alongside Lenovo, reflecting preference for hardware manufacturing
  • Lenovo (联想)
    Added by active funds, benefiting from tech hardware sector
    Strengths
    Added by international and US funds
  • Alibaba (阿里巴巴)
    Most reduced by active funds, consumer/internet sectors under pressure
    Weaknesses
    Reduced simultaneously by international and US funds, active weight decreased
    Comparison
    Reduced alongside Meituan, reflecting cautious stance on discretionary retail/services
    Risks
    Foreign outflows and reduction pressures may continue
  • Meituan (美团)
    Significantly reduced by active funds, consumer services sector under pressure
    Weaknesses
    Heavily reduced by international funds
    Comparison
    Second highest reduction after Alibaba
  • H World (H World)
    Reduced by active funds, consumer services sector under pressure
    Weaknesses
    Reduced by international funds

Key data

  • Net Outflow of US/European Funds in May$500 millionFirst monthly net outflow since May 2025 (except during the March conflict)
  • Inflow of Foreign Passive Funds$1.1 billionSlowed sequentially (April was $2.5 billion)
  • Outflow of Foreign Active Funds$1.6 billionAccelerated sequentially (April was $1.2 billion)
  • Cumulative Inflow of Foreign Capital YTD$10 billionAlready 80% of 2025's full-year inflow
  • Outflow of State Team's CSI 300 ETF$21 billionDoubled from $8 billion in April, but below the $84 billion peak in January
  • Total Outflow of Domestic Passive Funds$53 billionIncludes broad-based, sectoral, and thematic ETFs (April was $39 billion)
  • A-Share Margin Balances2.9 trillion yuanIncreased by 7% sequentially, hitting a new record high
  • Incremental Scale of Private Fund Management386 billion yuanSignificantly increased from 108 billion yuan in April, indicating active high-net-worth participation
  • Southbound Flows (Stock Connect)$1.6 billionSignificantly slowed (April was $7.2 billion)
  • Daily Average Net Inflows of Retail Small Orders33 billion yuanSignificantly recovered (April was 20 billion yuan)

Impact & implications

The market fund flow changes revealed in the report have multiple implications. First, the accelerated outflow of foreign active funds and the state team's ETF reduction may jointly exert short-term pressure on large-cap blue-chip stocks, especially those heavily held by foreign and state teams. Second, the record-high A-share margin balances and significant private fund additions indicate persistently high domestic capital risk appetite, providing liquidity support for the strong performance of AI and tech sectors, but also suggesting potential increases in market volatility (high leverage makes retracements more sensitive). Sector positioning shifts toward capital goods, tech hardware, and semiconductors, while reducing exposure to consumer and pharma sectors, reflect fund managers continuing to bet on tech growth themes tactically, but maintaining caution about consumption recovery and pharma sectors. The stock-level repositioning (adding Xiaomi, Lenovo, etc., and reducing Alibaba, Meituan, etc.) aligns with this sector rotation logic. For market participants, it is important to monitor whether the foreign outflow is persistent (a more negative signal if passive funds also turn outflow), and whether the state team's reduction will revert to buying during market adjustments. The significant slowdown in southbound flows may also have a short-term impact on HK equity liquidity, particularly on stocks previously heavily held by southbound flows.

Zhejiang ICP No. 2022035445-5
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