Amid rising uncertainty, defensive factors lead in China A-shares

Overview

This report is UBS's monthly guide to China A-share quantitative styles, focusing on the March market environment, macro drivers, valuation distribution, and style factor performance. The report notes that amid persistent geopolitical uncertainty, risk-off sentiment dominated the market, and capital favored defensive factors and large-cap stocks. At the same time, the structure of macro variables' explanatory power over market returns shifted, with gold's influence rising and the US 2-year yield's influence falling, while pairwise market correlations and cross-sectional volatility both increased.

Core views

The core views are: first, China A-shares were more cautious in March, with defensive styles continuing to outperform; second, low price beta and forward earnings yield each contributed about 10% in long-short returns, making them the most prominent style signals of the month; third, value factors continued rebounding, quality factors improved, and large-cap style recovered from low levels; fourth, momentum and growth showed uneven performance, with only fundamental growth and 3-month forward EPS revisions within growth performing relatively well, while other growth factors remained under pressure; fifth, on valuation, the overall 12-month forward P/E of A-shares was about 14x, with information technology and real estate relatively more highly valued.

Analysis framework

The report combines top-down macro explanatory power analysis with bottom-up evaluation of style factor performance. The macro section uses weekly regressions over a rolling 52-week window to measure the explanatory contribution of variables such as the US dollar index, US 2-year Treasury yield, US AAA spread, US 10Y-2Y spread, gold, and oil prices to local market returns. The market structure section uses pairwise stock correlations and cross-sectional volatility to measure macro resonance and the stock-picking environment. The valuation section uses box plots of market forward P/E to compare valuations across indices, sectors, and style portfolios. The style section compares the long-short and long-only style performance of MSCI China-A Onshore and related stock universes.

Methodology notes

• Macro driver analysisRolling 52-week weekly regression

  Use multiple global macro variables to explain weekly returns in the local market and calculate each signal's contribution to adjusted R-squared.

  This method is used to determine which macro variables are currently most important for market returns. The report includes the US dollar index, US 2-year Treasury yield, US AAA spread, US 10Y-2Y spread, gold, and oil prices.

• Market structure analysisPairwise stock correlation

  Use rolling 12-month weekly returns to calculate the average pairwise correlation among stocks.

  The higher the correlation, the stronger the influence of broad market or macro factors on individual stock returns, and the lower the relative degree of stock-level dispersion.

• Market breadth analysisCross-sectional volatility

  Use daily returns to measure the dispersion of stock return distributions at the same point in time.

  The higher the cross-sectional volatility, the more dispersed stock returns are, and the greater the potential opportunities for active stock picking and style selection.

• Valuation analysisMarket forward P/E box plot

  Use the market-cap-weighted distribution of market forward P/E to compare valuations across indices, sectors, and style portfolios.

  The red dot represents the current P/E and is used to judge where current valuation stands relative to its historical distribution.

Asset mapping & comparison

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

• China A-shares

  Core research subject

  Strengths

  Overall valuation has edged down to about 14x 12-month forward P/E, and rising cross-sectional volatility provides room for stock selection.

  Weaknesses

  Risk-off sentiment dominates, the market is more cautious, and macro resonance is strengthening.

  Comparison

  Compared with growth and momentum, defensive, value, quality, and large-cap styles were more advantaged in March.

  Risks

  Geopolitical uncertainty, changes in macro variables, valuation dispersion, and style rotation risk.

• MSCI China-A Onshore

  Benchmark for style performance statistics

  Strengths

  Used to measure long-short and long-only style factor performance in the onshore China A-share market.

  Weaknesses

  Factor performance depends on historical data, forecast data, and model assumptions.

  Comparison

  Low price beta, low volatility, value, and earnings yield outperformed most growth and momentum factors.

  Risks

  Historical factor effectiveness may change, and idiosyncratic stock events may weaken the impact of systematic factors.

• Gold

  Macro explanatory variable

  Strengths

  The report indicates that gold's explanatory power for market returns increased in March, reflecting the rising importance of risk-off pricing.

  Weaknesses

  Gold's influence is not stable and may shift rapidly with macro conditions and risk appetite.

  Comparison

  Compared with the US 2-year Treasury yield, gold's marginal influence strengthened in March.

  Risks

  If risk-off sentiment fades or real rates change, gold-related signals may lose explanatory power for A-share styles.

• Information technology sector

  Valuation observation target

  Strengths

  Still reflects high growth expectations and strong market attention.

  Weaknesses

  Valuations are higher than in most other sectors and are more sensitive to earnings delivery and risk appetite.

  Comparison

  Relative to lower-valued sectors such as financials and energy, information technology trades at higher valuations.

  Risks

  Risks of valuation compression, earnings coming in below expectations, and style rotation from growth to defense.

• Real estate sector

  Valuation observation target

  Strengths

  Current valuations are at historically high levels, reflecting market pricing of specific scenarios or policy factors.

  Weaknesses

  High valuations may not match the sector's fundamental pressures.

  Comparison

  The report notes that real estate valuations remain at historical highs and should be distinguished from the overall A-share level of about 14x forward P/E.

  Risks

  Risks that policy, sales, credit, and earnings recovery fall short of expectations.

Key data

• Overall China A-share valuationAbout 14x 12-month forward P/ESlightly declined in March.
• Low price beta factor performanceAbout 10% long-short return12-month low price beta was the best-performing factor of the month.
• Forward earnings yield factor performanceAbout 10% return12-month forward earnings yield performed steadily.
• High-quality factor performanceNearly 5% positive returnQuality factors improved significantly.
• Large-cap style performanceAbout 2% reboundLarge-cap stocks recovered from previous lows.
• Low-volatility factor performanceAbout 8% long-short returnCharts indicate the 12-month low-volatility factor performed strongly.
• Composite value factor performanceAbout 8% long-short returnThe industry-neutral composite value factor continued its rebound.

Impact & implications

For portfolios, the report implies that in a phase of elevated uncertainty and dominant risk-off preference, exposures can place greater emphasis on factors such as defense, quality, value, and earnings yield, while treating high-volatility, high-beta, and mixed growth and momentum signals with caution. Rising correlations imply stronger macro resonance, but higher cross-sectional volatility also indicates wider return dispersion among stocks, suggesting active stock-picking opportunities may still exist. On valuation, information technology and real estate appear richly valued, and valuation risk should be assessed in conjunction with earnings delivery capability and the policy environment.

Risks

• Quantitative models rely on financial statements, earnings forecasts, and stock price data; if the underlying data contain misreporting or errors, model results may be affected.
• The effectiveness of stock-selection strategies estimated from historical data and the relationships among strategies may change in the future.
• Special company events may outweigh the impact of systematic style factors.
• Geopolitical uncertainty may continue to affect market risk appetite and capital flows.
• The importance of macro explanatory variables may shift rapidly, causing reversals in style factor performance.
• Highly valued sectors such as information technology and real estate face valuation pullback risk.

What to watch

• Whether defensive factors continue to outperform, especially low price beta and low-volatility factors.
• Whether the rebound in value factors and forward earnings yield can continue.
• Whether the improvement in quality factors spreads to more sub-factors.
• Whether divergence within growth and momentum narrows or widens further.
• Changes in the explanatory power of gold, the US 2-year Treasury yield, the US dollar index, and credit spreads for A-share returns.
• Whether pairwise stock correlations and cross-sectional volatility continue to rise, to assess the balance between macro resonance and stock-picking opportunities.
• Changes in the position of information technology and real estate valuations relative to their historical distributions.