Momentum drawdown is not a liquidity crisis; allocation focus shifts to value and defensive factors

Overview

The report analyzes the sharp factor rotation in China’s equity market in July 2026. Although MSCI China rose 9.0% during the month, the previously crowded growth and momentum themes pulled back significantly, with capital rotating into low volatility, value, and quality. Using indicators such as turnover, inverse Amihud liquidity depth, cross-sectional return distribution, valuation dispersion, the macro cycle, and credit impulse, the report concludes that this adjustment was not a liquidity squeeze, but rather a normal rotation driven jointly by the unwind of crowded trades and macro style signals.

Core views

The July momentum drawdown should not be simply interpreted as a liquidity crisis, because the liquidity depth and turnover of the STAR 50 were both significantly above historical averages. The simultaneous occurrence of market gains and high dispersion in individual stock returns indicates that after the prior decline in leading technology- and semiconductor-related stocks, returns broadened to more stocks. Because the trading volume of the early-August rebound was weaker than in July, investors should remain cautious about chasing growth and momentum again. Given the credit impulse turning negative and the macro cycle entering a slowdown phase, the report adopts a defensive allocation stance: overweight value, underweight growth, remain neutral on momentum, and prefer low volatility and quality.

Analysis framework

The report combines factor long-short returns, the valuation ratio of expensive to cheap stocks, STAR 50 turnover and inverse Amihud liquidity depth, dispersion and skewness of individual stock returns, global quantitative macro cycle indicators, China’s credit impulse, and multi-factor portfolio performance to distinguish liquidity shocks, crowding unwind, and macro-driven style rotation.

Methodology notes

• factor_analysisFactor style rotation analysis

  Compare the long-short returns and valuation changes of value, momentum, quality, growth, and low-volatility factors.

  Identify changes in market leadership through the relative performance of different style portfolios, and use the valuation ratio of expensive stocks to cheap stocks to measure the compression of crowded trades.

• liquidity_analysisInverse Amihud liquidity depth

  Measure market depth by the trading value required to move prices by 1%.

  A higher value generally indicates that the market can absorb larger trading volumes. In July, this indicator for the STAR 50 exceeded twice its five-year average, supporting the view that the momentum drawdown was not caused by a drying up of liquidity.

• distribution_analysisCross-sectional return distribution analysis

  Use return dispersion, skewness, median, and mean to assess the breadth of gains and the impact of extreme individual stocks.

  In July, dispersion was at the 99th percentile over the past decade, skewness fell to -0.95, and the median individual stock return was significantly higher than the mean, indicating that a small number of large declining stocks dragged down the average, while most stocks performed better.

• macro_regimeQuantitative macro cycle indicators

  Classify major regions into macro states such as expansion, slowdown, and contraction.

  Europe has moved into contraction, while the United States, China, Asia Pacific excluding Japan, and global emerging markets are all trending toward slowdown, providing macro support for defensive style allocation.

• credit_cycleCredit impulse and growth-value rotation

  Observe changes in the credit impulse caused by slowing aggregate social financing in China, and map them to the relative performance of growth and value.

  The credit impulse turned slightly negative at the end of June; historical experience shows that this environment is usually favorable for value relative to growth.

• portfolio_constructionEqual-weighted multi-factor portfolio

  Allocate equally among four factor categories: value, momentum, quality, and growth.

  The diversified multi-factor portfolio still achieved a 3.4% long-short return during the sharp rotation in July, demonstrating the cushioning effect of factor diversification against the drawdown of a single style.

Asset mapping & comparison

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

• Value factor

  Overweight

  Strengths

  Valuation dispersion has compressed significantly, and a weakening credit impulse and macro slowdown environment have historically tended to support value relative to growth.

  Weaknesses

  After substantial relative gains in July, it may face short-term profit-taking.

  Comparison

  More supported by current macro and valuation signals than the growth factor.

  Risks

  If credit expansion accelerates again or risk appetite rebounds quickly, value’s relative advantage may weaken.

• Growth factor

  Underweight

  Strengths

  If technology earnings expectations are revised upward again, it could still regain structural appeal.

  Weaknesses

  The long-short return fell 13.6% in July, prior crowding was high, and both macro slowdown and a weakening credit impulse create pressure.

  Comparison

  Current risk-reward characteristics are weaker than value, low-volatility, and quality factors.

  Risks

  A rebound with insufficient volume could reverse again, but policy stimulus or renewed liquidity expansion could also trigger a rapid rebound.

• Momentum factor

  Neutral

  Strengths

  Valuation crowding has eased significantly, and some extreme positions have been cleared.

  Weaknesses

  The long-short return fell 11.0% in July, and technology- and semiconductor-related momentum stocks may still be highly volatile.

  Comparison

  Less defensive than low-volatility and quality factors, but valuation risk has declined compared with the end of June.

  Risks

  Crowded trades may continue to unwind, or they may reverse quickly due to a technical rebound.

• Low-volatility factor

  Preferred

  Strengths

  The July long-short return reached 21.8%, and it has defensive characteristics in a macro slowdown and high-dispersion environment.

  Weaknesses

  After a strong rally, valuation and positioning crowding may rise.

  Comparison

  Compared with growth and momentum, it is more consistent with the report’s defensive allocation direction.

  Risks

  If the market enters a strong risk-on phase, the low-volatility factor may lag.

• Quality factor

  Preferred

  Strengths

  The July long-short return was 5.1%, and it usually has an earnings stability advantage during economic slowdowns.

  Weaknesses

  Short-term return beta is lower than value and low volatility.

  Comparison

  Together with low volatility, it forms a defensive allocation and is preferable to chasing growth again.

  Risks

  An expanded valuation premium for high-quality assets may limit subsequent returns.

• STAR 50

  Indicator for liquidity and technology style

  Strengths

  Both liquidity depth and turnover in July were far above the five-year averages, and the market remained highly tradable.

  Weaknesses

  Turnover in early August was only 0.7x the July average, so the rebound has not yet been confirmed by trading volume.

  Comparison

  Its liquidity depth relative to the CSI 300 in July was 0.7x, higher than the five-year average of 0.4x.

  Risks

  With high weights in technology and semiconductors, it is vulnerable to momentum-trade reversals and changes in crowding.

• Equal-weighted multi-factor portfolio

  Diversified allocation tool

  Strengths

  It still achieved a 3.4% long-short return during the sharp style rotation in July, reducing single-factor risk.

  Weaknesses

  Equal-weight allocation does not actively avoid growth or momentum factors that are weaker in the short term.

  Comparison

  Compared with a single-factor strategy, returns are more stable but may sacrifice upside beta during phases dominated by strong styles.

  Risks

  A sudden rise in correlations among factors, transaction costs, and actual investability may weaken backtested or portfolio returns.

Key data

• MSCI China July return+9.0%The index rose, but market style leadership reversed significantly.
• Low-volatility factor July long-short return+21.8%The strongest performer among major styles.
• Value factor July long-short return+19.0%Benefited from valuation mean reversion and the macro environment.
• Quality factor July long-short return+5.1%One of the defensive styles.
• Momentum factor July long-short return-11.0%Crowded technology- and semiconductor-related momentum stocks pulled back significantly.
• Growth factor July long-short return-13.6%The weakest performer among major styles.
• Valuation ratio of expensive to cheap stocksFell from above 6.0x to about 4.5xCompressed significantly from the end of June to the end of July, returning close to the ten-year average.
• STAR 50 liquidity depthRMB549mn per 1% price moveMedian daily level in July; the five-year average was RMB243mn.
• STAR 50 liquidity depth relative to CSI 3000.7xJuly level; the five-year average was 0.4x.
• STAR 50 average daily turnover in JulyRMB179bnThe five-year average daily level was about RMB38bn.
• STAR 50 performance in early August+6.7%As of August 7, 2026.
• STAR 50 trading intensity in early August0.7x July average daily turnoverThe rebound has not yet been supported by turnover evidence of broad-based re-accumulation.
• Cross-sectional return dispersion99th percentile over the past decadeDifferences in individual stock performance were at an extremely high level.
• Cross-sectional return skewness-0.95The return distribution was clearly negatively skewed.
• Median and mean individual stock returns+7.3% and +1.1%The median was significantly higher than the mean, as a small number of sharply declining stocks dragged down the overall average.
• Low-volatility and high-quality high-dividend screening portfolio29 of 31 stocks rose, with an average return of +6.1%As of August 7, 2026, comparable to MSCI China’s +6.1% over the same period.
• Multi-factor portfolio July long-short return+3.4%Equal-weight allocation to value, momentum, quality, and growth factors.

Impact & implications

At the allocation level, investors should reduce reliance on crowded growth and momentum trades, increase exposure to value, low volatility, and quality, and use multi-factor diversification to reduce the risk of sharp reversals in a single style. The July adjustment has significantly reduced valuation extremes, but the early-August rebound lacks turnover support comparable to July, so it is not yet sufficient to confirm that growth or momentum has again become a sustainable theme.

Risks

• The trading volume of the early-August rebound was weaker than in July; if broad-based re-accumulation does not form, the technology and growth rebound may lack sustainability.
• Cross-sectional return dispersion is at an extreme level over the past decade, and single factors and crowded positions still face substantial rapid reversal risk.
• If China’s credit impulse turns positive again or aggregate social financing accelerates significantly, the macro basis for value relative to growth may weaken.
• Low volatility and value already rose sharply in July, creating short-term risks of increased crowding and profit-taking.
• The factor returns in the report are primarily long-short portfolio performance and may not be equivalent to actual returns of directly investable products after transaction costs.
• Some judgments are based on data as of July 31 or August 7, 2026, and subsequent market, policy, and macro information may change the conclusions.

What to watch

• Whether STAR 50 turnover can recover to or exceed July levels, to verify whether the rebound is translating into broad-based re-accumulation.
• Whether China’s aggregate social financing growth and credit impulse remain negative.
• The return trend of growth relative to value, and whether the valuation ratio of expensive stocks to cheap stocks stabilizes near the ten-year average.
• Whether the momentum factor can stabilize after volatility declines in the technology and semiconductor sectors.
• Cross-sectional return dispersion, skewness, and the gap between median and mean individual stock returns.
• Changes in the status of China, the United States, Europe, and Asia Pacific in global quantitative macro cycle indicators.
• The breadth of gains in the low-volatility and high-quality high-dividend screening portfolio and its performance relative to MSCI China.