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A Study on the Impact of China's 'Gradualist' Monetary Policy on A-Share Market Liquidity and Sector Valuations

#monetary_policy #a_share_market #liquidity #china #interest_rate #rrr_cut #real_estate #finance #investment_strategy #2026_market
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January 10, 2026

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A Study on the Impact of China's 'Gradualist' Monetary Policy on A-Share Market Liquidity and Sector Valuations

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Based on the latest data and authoritative analysis, I have prepared this in-depth research report on the impact of China’s ‘Gradualist’ monetary policy on the A-share market.


Research Report on the Impact of China’s ‘Gradualist’ Monetary Policy on A-Share Market Liquidity and Sector Valuations
I. Overview of Core Views
1.1 Assessment of Monetary Policy Orientation

Based on signals from the 2026 People’s Bank of China (PBC) Work Conference, the central bank will continue to implement a

moderately accommodative monetary policy
and explicitly proposed “flexibly and efficiently using multiple monetary policy tools such as reserve requirement ratio (RRR) cuts and interest rate cuts” [1]. Sheng Songcheng pointed out at the 2026 China Chief Economists Forum Annual Conference that the “gradualist” approach to monetary policy is highly likely, and when facing uncertainties, it is necessary to “cross the river by feeling the stones”. Moreover, monetary policy plays an indirect role and requires market cooperation [2].

Outlook for the Use of Monetary Policy Tools:

Policy Tool Expected Magnitude Implementation Timing Key Considerations
RRR Cut 0.5-1 percentage point (1-2 times) First quarter may be a window Release 500-1000 billion yuan in liquidity
Interest Rate Cut 20-50BP (2 times) Discretionary based on economic data Reduce financing costs for the real economy
MLF/Reverse Repo Incremental injection Regular operation Maintain stable interbank funding rates
Structural Tools Quota increase + interest rate cut Continuous advancement Support key sectors under the “Five Major Initiatives”

Divergences in Market Expectations:

  • Guan Tao, Bank of China Securities
    : There is still room for RRR and interest rate cuts, but they are not mandatory options [3]
  • Ming Ming, CITIC Securities
    : A 0.5 percentage point RRR cut may be implemented in the first quarter, releasing approximately 1 trillion yuan [1]
  • Goldman Sachs
    : Two 10-basis-point interest rate cuts may be implemented in 2026 [4]
  • Liu Jing, HSBC
    : A 20-basis-point interest rate cut and a 50-basis-point RRR cut may be implemented [4]

II. Analysis of the Impact on A-Share Market Liquidity
2.1 Current Market Liquidity Status

The A-share market’s liquidity has exhibited the following characteristics recently:

Indicator Current Status Trend
Average Daily Trading Volume Approximately 2.9 trillion yuan (trillion-yuan level) Remain relatively active
Margin Trading and Short Selling Balance Slight rebound Marginal improvement
PBC Reverse Repos Conducted daily Regular operation
Northbound Capital Net inflow trend Recovery growth
2.2 Liquidity Transmission Path

The transmission of monetary policy to A-share liquidity follows the following path:

PBC Policy Adjustments → Interbank Market Liquidity → Real Economy Credit → Capital Market Liquidity

Analysis of Transmission Mechanism:

  1. Quantitative Tools (RRR Cut)
    :

    • Each 0.5 percentage point RRR cut releases approximately 500-800 billion yuan in long-term funds
    • Directly increases banks’ lendable funds and indirectly boosts expectations of incremental capital in the capital market
    • Delivers the most direct benefits to capital-intensive sectors such as banking and real estate
  2. Price-Based Tools (Interest Rate Cut)
    :

    • Reduces overall social financing costs by approximately 30-50BP
    • Enhances the relative attractiveness of equity assets
    • Reduces corporate financial expenses and improves profit expectations
  3. Policy Lag Effect
    :

    • Effects typically take 2-3 months to materialize
    • Market expectations may be reflected in stock prices in advance
2.3 Forecast of Market Impact from Liquidity Changes

Based on historical data and policy simulations, the impact of liquidity changes on A-share indices is as follows:

Liquidity Change Expected Change in Shanghai Composite Index Expected Change in ChiNext Index Trading Volume Change
+10% +8-12% +12-18% +20-30%
+5% +3-5% +5-8% +10-15%
0% 0% 0% 0%
-5% -3-5% -5-8% -10-15%
-10% -8-12% -12-18% -20-30%

Key Conclusions
:

  • The ChiNext Index is approximately 1.5 times as sensitive to liquidity as the Shanghai Composite Index
  • The magnitude of trading volume change is approximately twice that of liquidity change
  • Moderate, sustained liquidity easing is more beneficial to the market

III. Analysis of the Impact on Sector Valuations
3.1 Ranking of Sector Sensitivity to Monetary Policy

There are significant differences in the sensitivity of different sectors to monetary policy:

Sector Monetary Sensitivity Policy Benefit Degree Foreign Investor Preference Comprehensive Score Current PE (x)
Real Estate 9 9 3
7.5
12.5
Finance 8 8 6
7.5
6.5
Cyclical 8 7 4
6.7
18.3
New Energy 7 6 7
6.7
22.8
Technology 6 5 8
6.2
45.2
Consumer 5 5 7
5.5
28.5
Pharmaceutical 4 3 6
4.2
32.1
Utilities 3 4 5
3.9
18.5

Comprehensive Score = Monetary Sensitivity × 40% + Policy Benefit Degree × 35% + Foreign Investor Preference × 25%

3.2 In-Depth Analysis of Highly Sensitive Sectors
3.2.1 Real Estate Sector

Policy Impact Path:

  • RRR Cut → Broaden financing channels for real estate enterprises → Ease capital chain pressure
  • Interest Rate Cut → Decline in mortgage rates → Marginal improvement on the demand side
  • Valuation repair expectation: Current PE is only 12.5x, at a historical low

Investment Key Points:

  • Sector credit risk remains the main constraining factor
  • Policy benefits are more reflected as “risk prevention” rather than “strong stimulus”
  • Focus on structural opportunities for leading high-quality real estate enterprises
3.2.2 Finance Sector

Policy Impact Path:

  • RRR Cut → Improve banks’ loan-to-deposit ratio → Marginally ease net interest margin pressure
  • Interest Rate Cut → Decline in asset-side returns, but deposit costs are reduced simultaneously
  • Significant valuation advantage: Current PE is only 6.5x

Investment Key Points:

  • The high-dividend feature of bank stocks is more attractive in a low-interest rate environment
  • The brokerage sector benefits from increased capital market activity
  • For the insurance sector, attention should be paid to the impact of declining interest rates on investment returns
3.2.3 Cyclical Sector

Policy Impact Path:

  • Credit Easing → Accelerate infrastructure investment → Increase demand for raw materials
  • Coordinated Fiscal Expansion → Accelerate special bond issuance → Increase physical workload

Opportunities in Sub-Sectors:

  • Base metals such as copper and aluminum (new energy demand + supply contraction)
  • Steel (marginal improvement in demand for construction steel)
  • Chemicals (significant divergence in sub-sectors)
3.3 Analysis of Characteristics of Low-Sensitivity Sectors

Utilities and pharmaceutical sectors
have low sensitivity to monetary policy, but each has its own investment logic:

Sector Defensive Attribute Growth Logic Policy Independence
Utilities High Stable cash flow Greatly affected by price regulation
Pharmaceutical Medium Innovation-driven Dominated by medical insurance policies

IV. 2026 Investment Strategy Recommendations
4.1 Phased Investment Strategy Framework

Based on the pace of monetary policy and market cycles, 2026 is divided into four phases:

┌───────────────────────────────────────────────────────────────────┐
│                    2026 Investment Strategy Clock                  │
├─────────────┬─────────────┬────────────────┬───────────────────────┤
│ Phase       │ Time Period  │ Market Feature │ Strategy Recommendation │
├─────────────┼─────────────┼────────────────┼───────────────────────┤
│ Phase 1     │ Jan-Mar     │ Policy Watch   │ Defensive focus: High-dividend + Consumer │
│ Phase 2     │ Apr-Jun     │ Policy Delivery │ Moderate overweight: Technology + New Energy │
│ Phase 3     │ Jul-Sep     │ Effect Verification │ Balanced allocation: Finance + Cyclical │
│ Phase 4     │ Oct-Dec     │ Expectation Adjustment │ Dynamic adjustment: Flexible allocation │
└─────────────┴─────────────┴────────────────┴───────────────────────┘
4.2 Sector Allocation Recommendation Matrix
Allocation Type Recommended Sectors Rationale Risk Level
Core Allocation
Banking, Leading Consumer Companies High dividend, stable performance Low
Satellite Allocation
Technology, New Energy Policy support, growth potential Medium-High
Tactical Allocation
Brokerage, Cyclical Market sentiment, economic recovery High
Risk Hedging
Gold, REITs Safe-haven assets, alternative returns Medium
4.3 Key Investment Themes
4.3.1 High-Dividend Strategy (Recommendation Rating: ★★★★★)

Core Logic:

  • In an interest rate downtrend cycle, the relative attractiveness of high-dividend assets increases
  • Dividend yields of financial stocks such as banks and insurance are generally 4-6%
  • Regulatory authorities continue to promote dividend policies

Stock Selection Criteria:

  • Dividend yield > 4%
  • Stable dividends over the past three years
  • Stable leading position in the sector
4.3.2 Technology Growth Strategy (Recommendation Rating: ★★★★☆)

Core Logic:

  • AI industry chain remains booming (refer to CES 2026 as a leading indicator)
  • Strengthened logic of domestic substitution
  • Key support under the “Five Major Initiatives” policy

Sub-Sector Directions:

  • Artificial Intelligence, Semiconductors
  • High-End Equipment, New Materials
  • Digital Economy, Indigenous Innovation (Xinchuang)
4.3.3 Consumption Recovery Strategy (Recommendation Rating: ★★★☆☆)

Core Logic:

  • Continuation of trade-in policies
  • Continuous recovery of service consumption
  • Normalization of consumption scenarios

Focus Areas:

  • New Energy Vehicles, Home Appliances
  • Catering, Tourism, Hotels
  • Medical Aesthetics, Cosmetics

V. Risk Factors and Response Strategies
5.1 Key Risk Factors
Risk Type Risk Level Specific Description Response Strategy
Uncertainty of Fed Policy
High If the Fed slows its rate cut pace, it may constrain domestic easing space Monitor exchange rate fluctuations, moderate hedging
Real Estate Risk Transmission
High Credit risk of real estate enterprises may impact the banking system and capital market Avoid highly leveraged real estate enterprises
Rising Inflation Expectations
Medium If CPI rebounds beyond expectations, it may limit space for interest rate cuts Dynamically adjust duration strategy
Renminbi Exchange Rate Pressure
Medium Interest rate cuts may bring certain depreciation pressure Focus on export-oriented sectors
External Market Volatility
Medium Geopolitical risks may disturb market sentiment Maintain portfolio flexibility
5.2 Risk Hedging Recommendations
  1. Interest Rate Risk Hedging
    : Appropriately allocate long-duration bonds
  2. Exchange Rate Risk Hedging
    : Focus on export-oriented enterprises
  3. Credit Risk Hedging
    : Avoid high-yield real estate bonds
  4. Market Risk Hedging
    : Maintain moderate position size, hold cash reserves

VI. Conclusions and Outlook
6.1 Core Conclusions
  1. Monetary Policy Orientation
    : A moderately accommodative stance will be maintained in 2026, with the “gradualist” approach having the highest probability (60%). There is still room for RRR and interest rate cuts, but the magnitude will be limited

  2. Liquidity Impact
    : Each RRR cut releases approximately 500-800 billion yuan in liquidity, providing support to the market; policy transmission lag is about 2-3 months

  3. Sector Valuation Divergence
    :

    • Highly Sensitive
      : Real Estate, Finance, Cyclical (high PE repair elasticity)
    • Moderately Sensitive
      : Technology, New Energy (growth logic-driven)
    • Low Sensitive
      : Utilities, Pharmaceutical (defensive attribute-focused)
  4. Investment Strategy Framework
    :

    • First half of the year: Driven by policy expectations, focus on high-dividend and technology growth
    • Second half of the year: Fundamental verification, focus on the strength of economic recovery
6.2 2026 Market Outlook
Scenario Shanghai Composite Index Range Trigger Condition
Base Case
3200-3600 points Gradualist monetary policy + moderate economic recovery
Bull Case
3600-4000 points Proactive easing policy + strong economic recovery
Bear Case
2800-3200 points Policy underperformance + economic growth slowdown

Probability Distribution
: Base Case 60%, Bull Case 25%, Bear Case 15%

6.3 Investor Action Recommendations
  1. Short-Term (1-3 Months)
    : Maintain neutral position, allocate to high-dividend assets for defense
  2. Medium-Term (3-6 Months)
    : Accumulate technology growth and new energy stocks on dips
  3. Long-Term (6-12 Months)
    : Maintain balanced allocation, focus on verification of economic recovery

References

[1] Xinhua News Agency - PBC Sets 2026 Monetary Policy Tone: “Flexible and Efficient” RRR and Interest Rate Cuts (https://www.xinhuanet.com/20260107/063a6c0ac7fb4b42bf1f2a9ff7cbd5ae/c.html)

[2] Caixin - Speech by Sheng Songcheng at the 2026 China Chief Economists Forum Annual Conference (https://finance.sina.com.cn/)

[3] Eastmoney - Chief Outlook | Guan Tao, Bank of China Securities: There is Still Room for RRR and Interest Rate Cuts in 2026 (https://fund.eastmoney.com/a/202601073610791042.html)

[4] Yantai Daily - RRR and Interest Rate Cuts Expected: PBC Clarifies Key Work Priorities for This Year (https://ytapp.jiaodong.net/system/2026/01/07/201444471.shtml)

[5] Jinling AI - A-Share Market Data and Sector Analysis (https://gilin-data.oss-cn-beijing.aliyuncs.com/)


Report Compiled by: Jinling AI Financial Research Team

Report Date: January 10, 2026

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Insights are generated using AI models and historical data for informational purposes only. They do not constitute investment advice or recommendations. Past performance is not indicative of future results.