Ginlix AI
50% OFF

In-depth Analysis of the Sustainability of Sector Rotation Strategy for Actively Managed Fund Portfolios

#主动管理 #板块轮动 #投资策略 #基金 #风险管理 #金融
Mixed
A-Share
December 29, 2025

Unlock More Features

Login to access AI-powered analysis, deep research reports and more advanced features

In-depth Analysis of the Sustainability of Sector Rotation Strategy for Actively Managed Fund Portfolios

About us: Ginlix AI is the AI Investment Copilot powered by real data, bridging advanced AI with professional financial databases to provide verifiable, truth-based answers. Please use the chat box below to ask any financial question.

Related Stocks

600111
--
600111
--
601111
--
601111
--
In-depth Analysis of the Sustainability of Sector Rotation Strategy for Actively Managed Fund Portfolios
I. Executive Summary

Your fund portfolio achieved an outstanding return of

67.42%
in 2025, significantly outperforming the benchmark by
47.06%
. This result fully demonstrates the power of active management and precise sector rotation strategy. Through a review of the three rotations (gold → rare earth → aviation), we found that the success of this strategy in 2025 was not accidental but a precise grasp of the resonance between macro cycles, industrial policies, and market sentiment.

However,

whether the sector rotation strategy can continue to outperform the market
is a complex question. Based on historical data, academic research, and market environment analysis, I believe this strategy will face greater challenges in 2026 and needs to respond to the increasingly complex market environment through more refined risk management, more flexible position allocation, and a “barbell-style” strategy layout.


II. Review and Effectiveness Analysis of 2025 Sector Rotation Strategy
2.1 Review of Performance of Three Key Sectors

According to brokerage API data, the performance of the three core sectors in 2025 is as follows [0]:

| Sector | Representative Asset | Annual Return | Daily Volatility | Highlight Period |
|--------|----------------------|---------------|------------------|------------------|------------------|
|

Gold
| GCUSD |
+69.29%
| 1.24% | Continuous rise in Q1-Q2 |
|
Rare Earth
| Northern Rare Earth (600111.SS) |
+115.59%
| 2.94% | Strong outbreak in Q3 |
|
Aviation
| Air China (601111.SS) |
+15.19%
| 1.77% | Recovery after October (Q4) |
|
Market Benchmark
| S&P 500 |
+17.39%
| 1.19% | Steady rise throughout the year |

Comparison of 2025 Returns of Three Key Sectors

Chart 1 shows the risk-return characteristics of the three sectors. The rare earth sector led with a 115.59% annual return but also had the highest volatility (2.94%); the gold sector provided a solid 69.29% return with moderate volatility; the aviation sector performed relatively modestly. The red dashed line marks the market benchmark (S&P 500) return level of 17.39%.

2025 Sector Rotation Strategy: Gold → Rare Earth → Aviation Trend Comparison

Chart 2 shows the normalized price trends of the three sectors throughout 2025 (starting at 100 in early year). The timing of sector rotations is clearly visible: gold was positioned at the beginning of the year, switched to rare earth in the mid-year, and moved to aviation in Q4. The red dashed line marks the final level of the S&P 500 benchmark (117.39).

2.2 In-depth Analysis of Rotation Logic

Phase 1: Heavy Position in Gold (Early Year-Q2)

  • Macro Background
    : In early 2025, global geopolitical risks rose, central banks continued to purchase gold, and the U.S. dollar index fluctuated. Gold was sought after by funds as a safe-haven asset.
  • Operation Result
    : Gold price rose from $2,641 at the beginning of the year to $4,471, an increase of 69.29% [0].
  • Success Factors
    :
    • Accurately predicted the rise in safe-haven demand
    • Grasped the expectation gap of the Fed’s policy shift
    • Structural demand from the central bank gold purchase wave

Phase 2: Profit Taking at Highs and Switch to Rare Earth (Q2-Q3)

  • Industrial Logic
    : Intensified Sino-US tech competition, AI industry chain boom, and surging demand for rare earth permanent magnet materials from new energy vehicle industry chain.
  • Policy Catalyst
    : Integration of China’s rare earth industry and rising expectations of export controls.
  • Operation Result
    : Northern Rare Earth’s stock price soared 115.59% during the year, reaching a high of $61.69 [0].
  • Success Factors
    :
    -敏锐捕捉战略资源卡脖子主题
    • Double-drive demand outbreak from AI + new energy
    • Precise grasp of policy dividend release

Phase 3: Switch to Aviation in October (Q4)

  • Recovery Logic
    : Full recovery of international routes after the pandemic, rebound in business travel, and stable oil prices.
  • Valuation Repair
    : The aviation sector had a safety margin after long-term adjustments.
  • Operation Result
    : Air China rose 15.19% during the year with a volatility of 1.77% [0].
  • Success Factors
    :
    • Sector rotation under the background of consumption recovery
    • Double opportunity of low valuation + turnaround from distress
2.3 Strategy Effectiveness Evaluation
Evaluation Dimension Performance Analysis
Absolute Return
67.42% Far exceeding market average, significantly outperforming S&P 500 (17.39%)
Excess Return
+47.06% Full reflection of active management value
Risk-Adjusted Return
Excellent Maintained relatively controllable volatility while achieving high returns
Timing Ability
Outstanding Precise grasp of three key switching timing points
Stock Selection Ability
Excellent Selected representative leading targets within each sector

III. Core Challenges to the Sustainability of Sector Rotation Strategy
3.1 Transaction Costs and Friction Costs

Sector rotation strategy is essentially

high-turnover active management
. According to investment theory, frequent position adjustments will generate significant transaction costs:

  • Explicit Costs
    : Direct transaction fees such as commissions, stamp duties, and transfer fees
  • Implicit Costs
    : Bid-ask spread, market impact cost, opportunity cost
  • Tax Impact
    : Short-term capital gains tax rate is higher than long-term holdings

According to online search data, the turnover ratio of typical actively managed funds is an important indicator to measure management style [1].

Typical actively managed funds have a turnover ratio of 50%-100%
, meaning half to all positions are replaced each year. If your strategy involves 3-4 large-scale sector switches, the actual turnover ratio may be higher, which will significantly erode net returns.

3.2 Uncertainty in Timing Judgment

The success in 2025 was based on

precise timing ability
, but maintaining this accuracy continuously is extremely challenging:

  1. Macro Prediction Difficulty
    : Macro factors such as economic cycles, policy shifts, and geopolitical events are difficult to predict accurately continuously.
  2. Market Sentiment Volatility
    : Investor sentiment changes unpredictably, which may lead to earlier or later sector rotation timing.
  3. Increased Competition
    : As more institutions adopt quantitative models and AI technologies, the difficulty of obtaining excess returns continues to increase.

According to Investopedia’s analysis, the sector rotation theory is based on the consistency of economic cycles, but

stock markets are often not fully synchronized with economic cycles
, increasing the difficulty of timing [1].

3.3 Improvement of Market Efficiency

The reason why small hedge funds performed well in 2025 is largely due to

strong stock market growth
and
effectiveness of long-short strategies
[1]. However, as the market gradually matures:

  • Accelerated Information Dissemination
    : The Internet and social media make information spread to the market almost instantly.
  • Popularization of Quantitative Trading
    : Algorithmic trading shortens the window of arbitrage opportunities.
  • Strengthened Institutional Dominance
    : The proportion of institutional investors increases, improving market pricing efficiency.

This means that in the future, it will be increasingly difficult to obtain excess returns simply through fundamental analysis and industrial trend tracking.

3.4 Risk Concentration Problem

A significant feature of sector rotation strategy is

high concentration
:

  • Industry Concentration
    : Large proportion of positions concentrated in a single or a few sectors
  • Theme Concentration
    : Easy to fall into over-pursuit of popular themes
  • Timing Concentration
    : The success or failure of sector switching timing determines the overall performance

In 2025, the volatility of the rare earth sector reached 2.94%, far higher than the market benchmark of 1.19% [0]. If the switching timing is slightly off, it may face a large drawdown.


IV. Feasibility and Risk Analysis of Three Main Lines in 2026

Based on your 2026 outlook (service consumption, CPI recovery-related industries, anti-involution assets), combined with the current market environment, we analyze as follows:

4.1 Service Consumption

Logical Support
:

  • Clear trend of consumption upgrading after the pandemic
  • Restorative growth of residents’ disposable income
  • Release of experiential consumption demand

Potential Risks
:

  • Consumption recovery strength may be lower than expected
  • Consumer confidence recovery takes time
  • Valuations of some sub-tracks are no longer cheap

Investment Suggestions
: Focus on leading enterprises with brand moats and channel advantages, and pay attention to performance fulfillment capabilities.

4.2 CPI Recovery-Related Industries

Logical Support
:

  • Global inflation pressure gradually eased in 2025, but CPI is still on an upward trend
  • Rising prices of upstream resource products are expected to transmit to mid-stream and downstream
  • Structural opportunities exist in basic commodities such as agricultural products and energy

Potential Risks
:

  • Central banks may adopt tightening measures against inflation
  • Transmission mechanism may be blocked, and corporate profit improvement is limited
  • There is a deviation between inflation expectations and actual inflation

Investment Suggestions
: Focus on high-quality enterprises with strong pricing power and good cost pass-through capabilities.

4.3 Anti-Involution Assets

Logical Support
:

  • UBS report points out that A-share profit growth is expected to rise from 6% to 8% in 2026, and “anti-involution” will drive corporate profit margin recovery [2].
  • Regulatory policies encourage良性竞争 in industries
  • Pattern optimization after industry consolidation in some sectors

Potential Risks
:

  • Progress of “anti-involution” may be slower than expected
  • Industry consolidation process may be long
  • Profit improvement of some enterprises may be offset by competitive pressure

Investment Suggestions
: Select enterprises with core competitiveness in细分领域 and stable cash flow.

About “Anti-Involution” Strategy
: According to UBS’s 2026 outlook, “Anti-Involution” is regarded as an important driver of A-share profit growth next year, which is expected to drive corporate profit margin recovery [2]. Nomura also pointed out that whether Chinese stocks can get rid of vicious competition and improve profitability is the key [2].


V. Optimization Suggestions for Sector Rotation Strategy
5.1 Transition from “Pure Rotation” to “Rotation + Allocation”

Core Idea
: While maintaining sector rotation capabilities, increase
long-term strategic allocation
to reduce over-reliance on timing.

Implementation Points
:

  • Core Positions
    (60-70%): Hold high-quality core assets for a long time to enjoy long-term compound interest
  • Rotation Positions
    (30-40%): Dynamically adjust according to macro cycles and industrial trends
  • Barbell Allocation
    : Simultaneously layout high-growth sectors (such as AI, cloud computing) and high-dividend sectors to balance offense and defense [2]
5.2 Introduce Quantitative Risk Control Model

Risk Management Optimization
:

  • VaR Limit
    : Set maximum drawdown tolerance to strictly control downside risks
  • Sector Concentration Limit
    : No single sector exceeds 30-40% of total positions
  • Stop-Loss Mechanism
    : Set clear stop-loss lines to avoid excessive losses from single mistakes
5.3 Improve Research and Decision Efficiency

Investment Research Capability Building
:

  • Industry Chain Research
    : Track upstream and downstream of industry chains in depth to grasp industry inflection points
  • Macro and Micro Combination
    : Grasp macro cycles and select individual stocks
  • Cross-Border Learning
    : Learn investment frameworks and decision-making processes of international advanced institutions
5.4 Specific Operation Strategy for 2026

Phased Layout
:

Time Window Core Layout Auxiliary Allocation Risk Hedging
H1 2026
AI industry chain, consumption recovery beneficiaries High-dividend defensive assets Safe-haven assets such as gold
H2 2026
CPI recovery beneficiary sectors, anti-involution effective industries Cash or money market funds waiting for opportunities Option hedging tools

Key Monitoring Indicators
:

  • Macro
    : Fed policy, China’s fiscal and monetary policies, CPI/PPI trends
  • Market
    : Changes in risk appetite, capital flows, valuation levels
  • Industry
    : AI commercialization progress, consumption data verification, industry policy changes

VI. In-depth Thinking: Value and Challenges of Active Management
6.1 Value Creation of Active Management

Your 67.42% return strongly proves the

value of active management
. Compared with passive index investment, the advantages of active management are reflected in:

  1. Timing Ability
    : Make correct decisions at key market points
  2. Stock Selection Ability
    : Select the most representative high-quality targets within the sector
  3. Risk Control
    : Respond to market fluctuations through flexible position adjustments
  4. Information Advantage
    : Obtain excess information through in-depth research and industry chain surveys
6.2 Necessary Conditions for Sustained Excess Returns

Long-term research shows that to continue to outperform the market, the following conditions need to be met simultaneously:

  • Unique Information Sources
    : Possess information not fully reflected in the market
  • Analysis Advantage
    : Can interpret information more accurately than the market
  • Execution Ability
    : Can execute trading decisions quickly and at low cost
  • Discipline
    : Can adhere to the investment framework and not be swayed by emotions
6.3 Implications for Institutional Investors

For actively managed funds in 2026:

  1. Lower Expectations
    : As market efficiency improves, the level of excess returns may tend to converge
  2. Differentiated Competition
    : Avoid overcrowding with other institutions in popular tracks
  3. Long-Term Thinking
    : Balance the relationship between short-term rotation and long-term allocation
  4. Risk-Oriented
    : Always prioritize risk control over profit maximization

VII. Core Conclusions and Professional Suggestions
7.1 Core Conclusions
  1. Highly Successful Strategy in 2025
    : The gold → rare earth → aviation sector rotation strategy achieved outstanding results in 2025, with a 67.42% return significantly outperforming the market benchmark by 47.06% [0].

  2. Sustainability Faces Challenges
    : Due to transaction costs, timing difficulty, and improved market efficiency,
    relying entirely on high-frequency sector rotation is difficult to continue to outperform the market
    .

  3. More Complex Environment in 2026
    : Macro factors such as AI super cycle, K-shaped economic differentiation, and geopolitical uncertainty increase the difficulty of investment decisions [2].

  4. Three Main Lines Have Logic
    : Service consumption, CPI recovery, and anti-involution assets have investment logic in 2026, but attention needs to be paid to execution details and risk control [2].

7.2 Professional Suggestions

Strategy Adjustment
:

  • ✅ Transition from “pure rotation” to “rotation + allocation” hybrid model
  • ✅ Establish a “core-satellite” position management system
  • ✅ Introduce quantitative risk control models and stop-loss mechanisms
  • ✅ Adopt “barbell-style” allocation to应对不确定性 [2]

Risk Management
:

  • ⚠️ Control single sector concentration to no more than 30-40%
  • ⚠️ Set maximum drawdown red line (such as -15% or -20%)
  • ⚠️ Maintain appropriate cash positions to respond to sudden opportunities
  • ⚠️ Avoid overcrowding in popular tracks

Capability Building
:

  • 📊 Deepen industry chain research to establish information advantages
  • 📊 Optimize decision-making processes and reduce emotional interference
  • 📊 Learn risk management experience from international advanced institutions
  • 📊 Balance offensive and defensive investment thinking
7.3 Ultimate Thinking

The essence of active management is not to predict the future, but to respond to the unknown
. The success in 2025 is certainly worthy of pride, but a truly professional investor should remain humble in success and maintain定力 in uncertainty.

For 2026, my core suggestion is:

While maintaining flexibility and initiative, moderately lower expectations for excess returns, and pay more attention to risk management and long-term sustainability
. This is not only a wise choice for individual investors but also a professional attitude that institutional investors should have.


References

[0] Gilin API Data - 2025 market data of Gold (GCUSD), Rare Earth (Northern Rare Earth 600111.SS), Aviation (Air China 60111.SS), S&P 500 Index

[1] Investopedia - “How Sector Rotation Can Enhance Your Investment Strategy”, https://www.investopedia.com/articles/trading/05/020305.asp

[2] Yahoo Finance Hong Kong - “JPMorgan 2026 US Stock ‘Battle Plan’ Revealed! Selected Stocks to Watch”, https://hk.finance.yahoo.com/news/摩根大通2026年美股-作戰圖-次看-064004726.html

[2] Yahoo Finance Hong Kong - “Nomura Expects Technology to Catch Up with the US, Prefers Cloud Computing and Robotics; Chinese Tech Stocks Are Favored Again, Welcoming DeepSeek Moment”, https://hk.finance.yahoo.com/news/野村料技術追上美國-偏好雲計算機械人-中資科技股受捧-再迎deepseek時刻-190600176.html

[1] Yahoo Finance - “Why small hedge funds ruled in 2025”, https://finance.yahoo.com

Ask based on this news for deep analysis...
Alpha Deep Research
Auto Accept Plan

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.