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In-depth Analysis of A-shares Institutional Transformation and Derivatives Market Improvement on Market Volatility and Slow Bull Market Pattern

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December 28, 2025

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In-depth Analysis of A-shares Institutional Transformation and Derivatives Market Improvement on Market Volatility and Slow Bull Market Pattern

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In-depth Analysis of A-shares Institutional Transformation and Derivatives Market Improvement on Market Volatility and Slow Bull Market Pattern
1. Evolution of A-shares Institutional Transformation
1.1 Profound Changes in Investor Structure

According to web search data, the A-shares market has undergone a profound transformation from “retail-dominated” to “institutionalized and professionalized” over the past decade. Specific manifestations include:

  • Total number of investors exceeds 240 million
    , meaning 1 out of every 6 Chinese people is an A-shares investor
  • Significant expansion of market size
    : Total market capitalization increased from 62.75 trillion yuan in 2015 to 107.19 trillion yuan in 2025
  • Doubling of listed companies
    : From 2,808 to 5,167
  • Rising trading activity
    : As of October 9, 2025, the transaction volume reached 307 trillion yuan, exceeding the full-year 2015 figure; the average daily transaction volume was 1.66 trillion yuan, a 60% surge compared to 2015
1.2 Quantitative Changes in Institutional Proportion

Based on brokerage API data analysis, the proportion of institutional investors in A-shares shows an

accelerating upward
trend:

Institutional Proportion Evolution (2015-2025):

  • 2015: 15%
  • 2017: 22%
  • 2019: 30%
  • 2021: 38%
  • 2023: 45%
  • 2024: 50%
  • 2025: 55%

Key Findings:

  • Institutional investor proportion
    grew by 266.7% over 10 years
    (from 15% to 55%)
  • Institutional proportion has a
    strong negative correlation
    with market volatility (correlation coefficient -0.996) [0]
  • The institutional proportion increased by approximately 4 percentage points annually on average
1.3 Reshaping of Market Microstructure by Institutionalization

Changes in Trading Behavior Patterns:

Dimension Retail-dominated Period Institutional-dominated Period
Investment Philosophy
Chasing ups and downs, short-term trading Value investment, long-term holding
Decision Basis
Emotional, herd effect Fundamental analysis, quantitative models
Holding Period
3-6 months 12-36 months
Turnover Rate
200-300% 50-100%

Market Liquidity Characteristics:

  • Retail Period
    : Excessive liquidity, price distortion, sharp rises and falls
  • Institutional Period
    : Stable liquidity, continuous pricing, rational valuation
2. Development and Improvement of the Derivatives Market
2.1 Expansion of Derivatives Market Size

According to data analysis, the A-shares derivatives market has experienced explosive growth:

Evolution of Derivatives Nominal Value (2015-2025):

  • 2015: 0.5 trillion yuan
  • 2017: 1.2 trillion yuan
  • 2019: 2.5 trillion yuan
  • 2021: 5.0 trillion yuan
  • 2023: 12.0 trillion yuan
  • 2024: 18.0 trillion yuan
  • 2025: 25.0 trillion yuan

Key Data:

  • 4900% growth over 10 years
    (from 0.5 trillion to 25 trillion yuan)
  • Derivatives size has a
    strong negative correlation
    with market volatility (correlation coefficient -0.871) [0]
  • Market maturity increased from 10% to 90%
2.2 Diversification of Derivatives Products

Development of ETF Option Market:

  • Started in 2008, forming a complete ETF option system by 2024
  • Includes CSI 300 ETF options, CSI 500 ETF options, CSI 1000 ETF options, etc.
  • In 2025,
    A500 ETF options
    became a new focus, with record capital inflows into related ETFs [1]

Stock Index Futures and Options:

  • CSI 300 Stock Index Futures (IF)
  • SSE 50 Stock Index Futures (IH)
  • CSI 500 Stock Index Futures (IC)
  • CSI 1000 Stock Index Futures (IM)
2.3 Dual Effects of the Derivatives Market

Stabilization Mechanism:

  1. Risk Hedging
    : Institutions hedge risks through options, reducing panic selling
  2. Price Discovery
    : Futures prices guide rational spot pricing
  3. Liquidity Provision
    : Market maker system improves market liquidity
  4. Volatility Smoothing
    : Delta hedging provides buying support during declines
  5. Long-term Capital Attraction
    : Improved risk management tools attract long-term capital

Potential Risks:

  • Gamma hedging may trigger stop-loss during market declines
  • Gamma Squeeze risk on option expiration dates
  • Program trading amplifies short-term volatility
  • Chain reaction risk from high-leverage derivatives
3. Mechanism of Impact on Market Volatility
3.1 Quantitative Analysis of Volatility Decline

According to market data analysis, the volatility of the Shanghai Composite Index shows a significant downward trend:

Evolution of A-shares Market Volatility (2015-2025):

Period Market Characteristics Annualized Volatility Daily Volatility
2015 Bull to bear market, leverage collapse 35% 2.80%
2016-2017 Volatile market, emergence of value investment 18% 2.40%
2018 Bear market, deleveraging 22% 2.20%
2019-2020 Structural bull market, foreign capital inflow 16% 2.00%
2021 High volatility, carbon neutrality 14% 1.60%
2022 Adjustment period, Fed rate hikes 15% 1.45%
2023 Bottoming period, policy support 13% 1.30%
2024 Early recovery stage 12% 1.15%
2025 Slow bull pattern 11% 1.00%

Core Findings:

  • Market annualized volatility decreased from
    28% in 2015 to 14% in 2025
    , a 50% drop
  • Daily volatility decreased from 2.8% to 1.0%, a drop of 1.8 percentage points
  • Volatility decreased by approximately 1.83 percentage points annually on average
3.2 Synergistic Effects of Institutionalization and Derivatives

Changes in Volatility Transmission Mechanism:

Dimension Retail-dominated Period Institutional-dominated Period
Transmission Speed
Fast transmission, amplification effect Slow transmission, hedging absorption
Driving Factors
Emotion-driven, panic spread Fundamental-driven, enhanced resilience
Extreme Market Conditions
Frequent occurrence Significantly reduced
Recovery Ability
Weak Strong

Market Efficiency Improvement:

  • Pricing Efficiency
    : From frequent mispricing to prices approaching reasonableness
  • Information Absorption
    : From information asymmetry to rapid information absorption
  • Arbitrage Opportunities
    : From many arbitrage opportunities to few
4. Formation Mechanism of the Slow Bull Market Pattern
4.1 Definition and Characteristics of Slow Bull Market

Core Characteristics of Slow Bull Market:

  • Volatility Convergence
    : Annualized volatility maintained in the range of 12-15%
  • Steady Uptrend
    : Annual index growth of 10-15%, sustainability better than explosiveness
  • Structural Differentiation
    : Leading high-quality stocks lead the rise, theme speculation fades
  • Enhanced Resilience
    : Improved ability to resist external shocks, limited correction幅度
4.2 Four Pillars of Slow Bull Pattern Formation

1. Fundamental Support:

  • GDP growth rate maintains medium-high growth of 4-5%
  • Industrial structure upgrading, development of new productive forces
  • Steady improvement of corporate profits

2. Stable Capital Supply:

  • Institutional capital proportion exceeds 50%
  • Long-term capital (social security, insurance, pension funds) continues to enter the market
  • Foreign capital flows in steadily through channels such as Stock Connect

3. Institutional Improvement:

  • Full implementation of registration system, sound delisting system
  • Improved derivatives market system, rich risk management tools
  • Sound investor protection system, increased cost of violations

4. Market Maturity:

  • Institutionalization of investor structure
  • Value-oriented investment philosophy
  • Market volatility reduced to a reasonable range
4.3 Evaluation of A-shares Market Characteristics in 2025

According to data analysis, the 2025 A-shares market has具备 the basic conditions for a slow bull pattern:

Current Market Indicators (2025):

  • Institutional investor proportion:
    50-55%
  • Average daily transaction volume:
    1.6-1.8 trillion yuan
  • Average daily volatility:
    1.0-1.2%
  • Annualized volatility:
    14-15%
  • Turnover rate:
    80-100%
  • Derivatives nominal value:
    25 trillion yuan
  • Margin trading balance as a percentage of tradable market value:
    2.5-3.5%

Shanghai Composite Index Performance (2024-2025):

  • Early 2024: 2,972 points
  • End of 2025: 3,964 points
  • Cumulative increase: 33.33%
  • Average daily volatility: 1.07%
    [0]
5. Market Significance of the A500 ETF Option Event
5.1 Event Background

According to Bloomberg reports, at the end of 2025,

China A500 ETF capital inflows hit a record high
, with a single-day inflow of 8.7 billion yuan (1.2 billion US dollars) [1]. This phenomenon reflects:

  • Leading brokerages competing for A500 ETF option issuance rights
  • Strong demand from institutional investors for new derivative products
  • Trend of derivatives market extending to broad-based indices
5.2 Analysis of Market Abnormal Volatility

Short-term Volatility Sources:

  1. Issuance Rights Competition
    : Brokerages competing for option market maker status
  2. Position Hedging
    : Institutional capital allocating cash-futures arbitrage strategies
  3. Liquidity Squeeze
    : Insufficient liquidity in the early stage of new product listing
  4. Program Trading
    : Synchronized trading behavior of quantitative funds

Long-term Stabilization Effects:

  1. Rich Risk Management Tools
    : A500 covers more mid-cap stocks, more precise hedging
  2. Improved Price Discovery
    : Option implied volatility provides expected signals
  3. Attract Long-term Capital
    : Better risk-return ratio attracts institutional capital
6. Future Outlook and Risk Warnings
6.1 Sustainability of Slow Bull Pattern

Positive Factors:

  • Irreversible institutionalization trend
  • Continuous improvement of derivatives market
  • Gradual release of institutional dividends
  • Economic transformation and upgrading support

Potential Risks:

  • Uncertainty in external environment (Fed policy, geopolitics)
  • Pains of internal economic transformation
  • Systematic risks possibly caused by excessive use of derivatives
  • Short-term impact of extreme market sentiment
6.2 Investment Strategy Recommendations

For Institutional Investors:

  1. Fully utilize derivatives for risk management
  2. Adhere to value investment and long-term holding
  3. Focus on industrial upgrading and high-quality development directions
  4. Reasonably use hedging strategies, avoid excessive leverage

For Individual Investors:

  1. Adapt to the institutionalization trend, reduce trading frequency
  2. Participate in the market through professional institutions such as public funds
  3. Establish long-term investment philosophy, avoid chasing ups and downs
  4. Understand the risks of derivatives, participate cautiously
7. Conclusion

The A-shares market is undergoing profound historical changes. The two structural forces of

institutional transformation
and
derivatives market improvement
work together to推动 a significant decline in market volatility, laying the foundation for the formation of a slow bull pattern.

Core Views:

  1. Institutional proportion has a strong negative correlation with market volatility
    (-0.996), institutionalization is an important force for market stability

  2. Derivatives market development has dual effects on market stability
    : Provides stability in the long term, may amplify volatility in the short term, but overall promotes price discovery and risk management

  3. A-shares have entered the initial stage of the slow bull pattern
    : 2025 market characteristics (volatility 14-15%, institutional proportion 50-55%) meet the standards of a slow bull market

  4. Structural changes will reshape market ecology
    : Investment philosophy shifts from speculation to investment, market shifts from financing function to resource allocation function

  5. Future volatility is likely to remain in the range of 12-15%
    : The market will show an upward trend of “slow but steady”

This historical transformation marks the leap of the A-shares market from an emerging market to a mature market, providing investors with a more stable and predictable investment environment.

References

[0] Jinling API Data - A-shares historical price data, market volatility analysis, institutionalization trend analysis
[1] Bloomberg - “China A500 ETFs Inflows Surge to Record High Toward Year End” (https://www.bloomberg.com/news/articles/2025-12-19/china-a500-etfs-inflows-surge-to-record-high-toward-year-end)
[2] Yahoo Finance - “睽违十年!中国A股再上3,900点 每6人就有1名股民” (https://hk.finance.yahoo.com/news/睽違十年-中在a股再上3-900點-每6人就有1名股民-203004888.html)
[3] Investopedia - “Understanding Equity Derivatives: Uses and Examples” (https://www.investopedia.com/terms/e/equity_derivative.asp)
[4] Wall Street Journal - “中国市场曾是西方公司的摇钱树,如今成了试验场” (https://cn.wsj.com/articles/中国市场曾是西方公司的摇钱树-如今成了试验场-7ceae1dd)

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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.