China equity thematic rotation and earnings-backed alpha opportunities Report Interpretation

Overview

J.P. Morgan’s China equity strategy report retains an overweight allocation and argues for a broader thematic mix: stay constructive on domestic AI supply-chain names while rotating incremental exposure toward under-owned sectors with improving earnings, notably healthcare, financials, transport-related industries and selected materials.

Core views

The report’s central framework combines price momentum, domestic mutual-fund holdings, offshore positioning shifts and financial fundamentals. It separates crowded sectors from under-owned sectors: crowded groups must show enough EPS growth to absorb possible valuation compression, while under-owned groups need accelerating earnings to justify a positioning rebuild. On that basis, J.P. Morgan remains constructive on domestic AI supply-chain companies, arguing that MXCN and CSI-300 IT FTM EPS growth of 46% and 52%, respectively, can cushion P/E compression if the US Treasury curve bear-flattens. Positioning is the main reason to broaden exposure beyond AI. As of Q2 2026, onshore active mutual funds allocated 46% to IT, or 3.9 standard deviations above its historical mean, the most extreme sector concentration in the past decade. The report attributes this both to active buying around AI and domestic semiconductors and to faster AUM growth in technology-themed funds. By contrast, consumer discretionary, consumer staples and healthcare were 3.3, 1.8 and 1.5 standard deviations below their respective historical means. Healthcare is viewed as a relatively attractive under-owned area because the report cites roughly 20% FTM EPS growth; financials, especially broker leaders, and industrials, including transports, were also below historical positioning and supported by resilient EPS growth. The report sees investors in China and Singapore continuing to rebalance toward less crowded areas. Gold, healthcare and high-yield shares have become preferred destinations for incremental flows. Over the five trading days through 1 September, leadership broadened: smartphone supply-chain shares remained strong ahead of Apple’s 9 September product release, while cloud computing, data centers, e-CNY and cybersecurity caught up. Entertainment and SOE banks also outperformed. Conversely, energy storage and grid-related shares were hurt by the US ban on China-made electrical equipment; healthcare retraced some earlier gains; and airlines, autos, domestic brands and retail remained weak. Offshore positioning provides both opportunity and a near-term caution. Regional long-only investors were overweight China EV/electrification, consumer and internet exposures, while China financials, most China small caps and some other areas were underweight. Recent allocation increases largely reflected reductions in underweights, including China financials, technology and defensives. J.P. Morgan warns that more restrictive monetary policy and tighter liquidity, weaker Asian cycle indicators, US mid-term-election risk aversion, a lack of fresh earnings catalysts before October’s 3Q reports and unfavorable seasonality could weigh on the market in coming weeks. The report’s historical US-yield analysis finds that China FTM P/E multiples tend to contract during bear flatteners, when US two-year yields rise faster than ten-year yields. Average MXCN valuation compression was about 20% in those episodes. High-yield sectors, healthcare, real estate and industrials were relatively less sensitive, while sector-level EPS growth can offset valuation pressure. The report identifies IT as the sector most likely to do so, given the 46% consensus FTM EPS growth forecast. For 2H26, the A-share screen seeks companies with two consecutive quarters of accelerating earnings growth, simultaneous quarter-on-quarter and year-on-year operating-cash-flow acceleration in 2Q26, and market capitalization above US$1 billion. J.P. Morgan groups the results into four themes: AI data-center build-out and greater technology sophistication in PCB, CCL, optical connectivity, laser chips, MLCC and foundry; selected capital-expenditure expansion in grid equipment, thermal management, battery equipment and mining machinery; materials with improving pricing power, including chemicals, battery separators and advanced materials; and infrastructure assets with operating leverage from higher utilization and revenue yield, including hydropower, railways and ports. J.P. Morgan maintains its overweight China-equity allocation within EM/Asia and end-2026 targets of 100 for MXCN and 5,200 for the CSI-300, underpinned by consensus year-on-year EPS growth projections of 14% and 25%. It considers liquidity abundant but not yet excessive. AI remains its tier-one growth theme after initial 2Q26 results, although liquidity turbulence could make a 3Q26 rebound uneven. For diversification outside AI, the report highlights Meituan, Bank of China-H, Bank of Ningbo, CICC-H, Innovent, BYD-H and China Resources Land.

Analysis framework

J.P. Morgan evaluates China equities through momentum, onshore and offshore positioning, earnings and cash-flow fundamentals. It tests crowded sectors against prospective valuation compression, tests under-owned sectors for earnings acceleration, reviews historical performance during rising US-yield episodes, and applies a fundamental A-share screen based on earnings acceleration, operating-cash-flow acceleration and market capitalization.

Methodology notes

• Quantitative, Factor, and Portfolio TheoryStyle factor analysis

  Four-lens positioning and fundamental screen

  The report combines momentum, fund holdings, offshore allocation shifts and financial fundamentals to identify crowded and under-owned themes.

• Industry AnalysisSupply-demand framework

  Supply-demand normalization in selected materials and industrial chains

  The report links improving earnings in chemicals, battery separators and advanced materials to destocking, utilization recovery and a healthier supply-demand balance.

• Event-Driven and Behavioral FinanceExpectation Gap and Expectation Management

  Earnings growth versus valuation compression

  For crowded sectors, the report assesses whether forward EPS growth can offset multiple compression during a US Treasury bear flattener.

Asset mapping & comparison

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

• Iluvatar CoreX-H (9903.HK)

  Preferred domestic AI supply-chain exposure

  Strengths

  Included among J.P. Morgan’s favored domestic AI names.

  Risks

  Potential valuation pressure if US Treasury yields bear-flatten.

• V-Test-A (688372.SH)

  Preferred domestic AI supply-chain exposure

  Strengths

  Included among J.P. Morgan’s favored domestic AI names.

  Risks

  Potential valuation pressure if US Treasury yields bear-flatten.

• JCET-A (600584.SH)

  Preferred domestic AI supply-chain exposure

  Strengths

  Included among J.P. Morgan’s favored domestic AI names.

  Risks

  Potential valuation pressure if US Treasury yields bear-flatten.

• AMEC-A (688012.SH)

  Preferred domestic AI supply-chain exposure

  Strengths

  Included among J.P. Morgan’s favored domestic AI names.

  Risks

  Potential valuation pressure if US Treasury yields bear-flatten.

• NAURA-A (002371.SZ)

  Preferred domestic AI supply-chain exposure

  Strengths

  Included among J.P. Morgan’s favored domestic AI names.

  Risks

  Potential valuation pressure if US Treasury yields bear-flatten.

• Meituan (03690.HK)

  Non-AI diversification top pick

  Strengths

  Explicitly listed among the report’s preferred non-AI names.

  Risks

  Near-term liquidity and earnings-catalyst risks noted for China equities.

• Bank of China-H (03988.HK)

  Non-AI diversification top pick

  Strengths

  Explicitly listed among the report’s preferred non-AI names.

  Comparison

  China financials were underweight among regional long-only investors.

  Risks

  Near-term liquidity and macro-cycle concerns.

• Bank of Ningbo-A (002142.SZ)

  Non-AI diversification top pick

  Strengths

  Explicitly listed among the report’s preferred non-AI names.

  Risks

  Near-term liquidity and macro-cycle concerns.

• CICC-H (03908.HK)

  Non-AI diversification top pick

  Strengths

  Explicitly listed among the report’s preferred non-AI names.

  Risks

  Near-term liquidity and macro-cycle concerns.

• Innovent (01801.HK)

  Non-AI diversification top pick

  Strengths

  Explicitly listed among the report’s preferred non-AI names.

  Comparison

  Healthcare was under-owned by domestic active mutual funds.

  Risks

  Healthcare had recently given back some prior gains.

• BYD-H (01211.HK)

  Non-AI diversification top pick

  Strengths

  Explicitly listed among the report’s preferred non-AI names.

  Comparison

  China EV/electrification was a key regional long-only overweight.

  Risks

  Autos and pure EV themes had recently underperformed.

• China Resources Land (01109.HK)

  Non-AI diversification top pick

  Strengths

  Explicitly listed among the report’s preferred non-AI names.

  Comparison

  Real estate was relatively less sensitive to FTM P/E contraction in the report’s historical analysis.

Key data

• Onshore active mutual-fund IT allocation46%Q2 2026; 3.9 standard deviations above its historical mean.
• MXCN IT FTM EPS growth46%Consensus forecast cited as sufficient to help offset potential P/E compression.
• CSI-300 IT FTM EPS growth52%Consensus forecast cited in the report.
• Healthcare FTM EPS growthc20%Supports the report’s preference for under-owned healthcare.
• MXCN valuation compression in bear-flattener periods-20%Average FTM P/E contraction cited by the report.
• End-2026 index targetsMXCN 100; CSI-300 5,200Maintained base-case targets, underpinned by 14% and 25% consensus year-on-year EPS growth, respectively.

Impact & implications

The report argues that investors need not abandon AI, but should diversify from an extremely crowded technology allocation toward sectors where positioning is lighter and earnings remain supportive. Its preferred diversification areas are healthcare, financials, selected transport and logistics exposures, chemicals and high-shareholder-return themes.

Risks

• A more restrictive policy and tighter liquidity environment could pressure China equities in coming weeks.
• Worsening Asian cycle indicators, US mid-term-election risk aversion, poor seasonality and a lack of new earnings catalysts before October 3Q reports are near-term cautions.
• A US Treasury bear flattener can compress China equity valuation multiples; the report cites average MXCN FTM P/E compression of about 20%.
• The US ban on China-made electrical equipment has already hurt energy-storage and grid-related shares.
• Liquidity turbulence could make an AI-led rebound in 3Q26 choppy.

What to watch

• 3Q earnings reports in October for fresh China-equity earnings catalysts.
• Whether IT EPS growth remains strong enough to offset P/E compression as US Treasury yields move.
• Onshore mutual-fund concentration in IT and signs of further rotation into under-owned sectors.
• Liquidity conditions, Asian cycle indicators and offshore investor allocation shifts.
• Momentum in healthcare, financials, transport, materials and the report’s A-share earnings-and-cash-flow screen.