China Equities: Calm on the Surface, Turmoil Beneath

Overview

This report notes that while the overall volatility of the MSCI China Index remains at its lowest level in nearly a decade (17% annualized, 29th percentile), exhibiting a 'calm on the surface' characteristic, extreme individual stock divergence lurks beneath—the cross-sectional volatility has already climbed to the 98th percentile, approaching the most剧烈的 level in a decade. This phenomenon stems from the highly unbalanced internal operation of the market, where a few strong individual stocks drive the overall average, while the majority of stocks continue to decline. The report believes this reflects profound structural changes in the market's inherent composition, not simple sentiment fluctuations. Based on this, J.P. Morgan's multi-factor strategy portfolios achieved significant excess returns in May and made forward-looking adjustments to June positioning.

Core views

The core viewpoint of the report lies in revealing the structural contradictions in China's current equity market: while macro indices appear stable, individual differences are enormous. Specifically, although overall index volatility is low, return divergence among individual stocks has reached historical extremes. Data shows that May market return distribution was highly right-skewed, with the median declining 3.6% while average returns were only -0.6%, indicating that a few super winners pulled up the overall average. Behind this phenomenon is the trend of large-cap companies dominating the market—the return differential between large-cap and small-cap stocks in May reached as high as +6.1%, approaching the highest level in two years. It is precisely this extreme dispersion pattern that allowed multi-factor strategies centered on capturing stock-picking advantages to achieve tremendous success. This portfolio achieved +3.0% for longs and -4.2% for shorts in May, with net position returns reaching +7.2%, far exceeding the index's -3.0% performance. The report further notes that this 'winner-takes-all' pattern will persist; therefore, for June allocations, focus will be on increasing positions in large banks and certain information technology supply chain companies while reducing exposure to certain consumer and internet leaders as well as commodity cyclical assets.

Analysis framework

The institution reveals market truth by comparing two key indicators: one is macro-level index volatility (such as the MSCI China Index), and the other is micro-level individual stock cross-sectional volatility. When the two diverge, it means the market is not without change, but rather changes are internally offset. For example, one rising stock and one falling stock may offset each other at the index level, resulting in low index volatility, but enormous actual differences among individual stocks. The report uses 'cross-sectional volatility' as a core analysis tool to quantitatively measure the degree of divergence among individual stocks. Additionally, by analyzing factor data such as return distribution skewness (skewness=2.56) and large/small cap return differentials, the logic of 'a few winners dominating the market' is validated. Ultimately, these quantitative analyses lead to recommendations for investment strategy adjustments, embodying a complete deduction chain from data insights to strategy implementation.

Methodology notes

• Industry Analysis FrameworkSupply-demand framework

  The core contradiction in this industry lies on the supply side

  In this research report, 'supply side' refers to the choice behaviors of listed companies themselves—namely, which companies can attract capital flows, forming the so-called 'winner-takes-all' dynamic. By observing the pattern of large-cap stock dominance, the report implicitly points out that market resources are concentrated among a few high-quality or sought-after companies, representing a structural supply selection rather than universal growth on the demand side.

• Cycle and Sentiment FrameworkSentiment Inflection Analysis

  Sentiment Inflection Analysis

  By identifying the market's transition from 'universal decline' to 'a few winners rising sharply,' the report judges that the market is at an inflection point of sentiment structure. The market may have been overall weak previously, but now significant divergence has emerged, meaning certain specific sectors or companies are entering a new upward cycle—this is a signal of structural changes in sentiment.

• Valuation MethodologyPE/PEG valuation

  PE/PEG Valuation

  Although the report does not directly use traditional valuation indicators such as price-earnings or price-sales ratios, its analysis of 'large-cap stock dominance' and 'a few individual stocks contributing most of the returns' is essentially evaluating the enormous differences in value creation capabilities among different companies. This aligns with the logic of finding companies with high growth potential and reasonable valuations (i.e., high PEG)—capital is more willing to pay premiums for companies that can generate excess returns.

• Competition and Strategic FrameworkMoat / competitive advantage

  Moat/Competitive Advantage

  The report implicitly views large-cap companies (such as banks and technology chain leaders) as entities with stronger competitive advantages. They can attract large capital inflows and become 'winners' in the market, reflecting their long-term moats in terms of scale, brand, technology, or financing capability. Those companies abandoned by the market may lack sustainable competitive advantages.

• Industry Analysis FrameworkIndustrial Chain Upstream-Midstream-Downstream Transmission

  Industrial Chain Upstream-Midstream-Downstream Transmission

  The 'information technology supply chain' mentioned in the report (such as Suzhou Dongshan and Shengyi Technology) represents typical upstream or midstream segments. Their inclusion in the long positions of multi-factor portfolios indicates that analysts believe these companies' performance will be strongly boosted by downstream terminal demand (such as consumer electronics and data centers), making them beneficiaries under industrial chain transmission logic.

Asset mapping & comparison

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

• Datang International Power (HK-C)

  Achieving +109% gains in May, it became the absolute core of multi-factor portfolio longs, contributing the vast majority of alpha.

  Strengths

  Earnings surge, sharp stock price increase, market focus.

  Weaknesses

  High gains may have priced in future expectations,，存在回调风险。

  Comparison

  Far exceeding other long targets, the only tenfold growth stock.

  Risks

  Stock price is overheated in the short term; future fundamentals need monitoring to support high valuation.

• Lenovo (HK-C)

  Achieving an astonishing +105% gain in May, it is another core driver of multi-factor portfolio longs.

  Strengths

  As a global technology giant, it possesses strong brand and technology barriers.

  Weaknesses

  Valuation may already be at high levels, facing potential pressure from slowing growth.

  Comparison

  Like Datang International Power, a star among longs, though the latter has more cyclical characteristics in energy.

  Risks

  Global technology demand fluctuations affect its performance; stock price is susceptible to macro sentiment shocks.

• China Construction Bank H-shares

  Newly added to multi-factor portfolio longs, reflecting institutional optimism for the stability and valuation repair potential of large state-owned banks.

  Strengths

  Healthy balance sheet, high dividend yield, defensive characteristics.

  Weaknesses

  Relatively slow growth, lacking high elasticity.

  Comparison

  Compared to technology stocks, weaker growth but more stable and secure.

  Risks

  Macroeconomic downturn may lead to rising credit risks, affecting profits.

• JD.com

  Reduced in multi-factor portfolio, indicating institutional caution about its future growth prospects.

  Strengths

  E-commerce leader with massive user base and logistics network.

  Weaknesses

  Intense market competition, margin pressure, slowing growth.

  Comparison

  Compared to technology stocks and banks, insufficient growth potential to provide adequate excess returns.

  Risks

  Weak consumer spending may directly impact revenue; regulatory risks also exist.

• Shaanxi Coal

  Reduced in multi-factor portfolio, indicating institutional pessimism about the outlook for coal and other commodity cyclical stocks.

  Strengths

  Resource-based enterprise, highly sensitive to price fluctuations, with cyclical profit surge potential.

  Weaknesses

  Dependent on external demand, susceptible to economic cycles and policy adjustments.

  Comparison

  Compared to banks and technology stocks, weaker profit stability and higher risks.

  Risks

  Weak demand or policy tightening may cause price plunge, leading to losses.

Key data

• MSCI China Index Annualized Volatility17%At the 29th percentile over the past 10 years, below the 22% average.
• Cross-Sectional Volatility16%At the 98th percentile over the past 10 years, above the 10% average.
• May Stock Return Skewness2.56Highly right-skewed, indicating uneven return distribution with few winners pulling up the average.
• Large/Small Cap Return Differential+6.1%At the highest level in the past two years, showing large-cap stock dominance.
• Multi-Factor Portfolio May Net Return+7.2%Longs +3.0%, shorts -4.2%, far exceeding the index's -3.0% performance.
• Long Position Representative StocksDatang International Power (+109%), Lenovo (+105%)These two stocks contributed the vast majority of the portfolio's excess returns.

Impact & implications

For investors, this means traditional 'buy-and-hold' or 'balanced allocation' strategies may become ineffective. The market is experiencing a structural rally driven by a few core assets. To obtain excess returns in the future, one must proactively identify and position in leading companies with strong fundamentals and ability to create sustainable value. At the same time, the report's June rebalancing recommendations also clarify the direction: increase allocation to stable growth companies in finance and technology supply chains while avoiding consumer, internet, and cyclical commodity companies that may face earnings pressure. This suggests the market style will further tilt toward large-cap blue chips and high-certainty growth stocks.

Risks

• Continued market divergence may marginalize small and medium-cap companies, increasing concentration risk.
• High gains in individual star stocks (such as Datang International Power and Lenovo) may have priced in future performance, with correction risks.
• Macroeconomic downturn may erode profitability of banking and consumer enterprises.
• Commodity price fluctuations may pose significant shocks to cyclical industries.

What to watch

• Specific position changes in multi-factor portfolios for June, particularly performance of banking and technology supply chain companies.
• Whether performance of large-cap stocks (especially technology and financial) can continue to exceed expectations.
• Whether overall market cross-sectional volatility remains high, to verify the persistence of the divergence pattern.
• Policy environment changes, especially regulatory developments for technology, financial, and cyclical industries.