A Complete Framework for Building a Robust Asset Allocation Portfolio
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Based on current market data and classic asset allocation theories, I will systematically explain how to build a portfolio that remains robust in different market environments from three dimensions:
The key to building a robust portfolio is to clarify the
- Role: Responsible for the long-term value appreciation of the portfolio
- Performance Characteristics: Performs best during economic booms [2]
- Risk Characteristics: Highest volatility, but highest long-term returns
- Current Market: In Q4 2025, the S&P 500 index rose by 2.78%, Nasdaq by 2.60%, and Dow Jones by 4.17% [0]
- Role: Reduce portfolio volatility and provide defensive protection
- Performance Characteristics: Performs best during economic recessions and deflationary periods [2]
- Risk Characteristics: Relatively low volatility and low correlation with stocks
- Current Market: In Q4 2025, the long-term Treasury ETF (TLT) slightly fell by 1.95%, but its volatility was only 0.55% [0]
- Role: Fight inflation and hedge against extreme risks
- Performance Characteristics: Performs best during inflationary periods [2]
- Risk Characteristics: High volatility, but has safe-haven properties in specific periods
- Current Market: In Q4 2025, the Gold ETF (GLD) rose sharply by 11.54%, showing strong performance [0]
- Role: Provide liquidity and capture investment opportunities
- Performance Characteristics: Cash is king during market tightening periods
- Risk Characteristics: Low yield, but highest safety
- Allocation Value: Provide funds for bottom-fishing when the market falls
- Cumulative return rate: 56.9%
- Annualized return rate: ~6.01%
- Maximum drawdown: only 7.18%
- Annualized volatility:5.75% [1]
- Simple structure, easy to understand
- Low maintenance cost, only needs rebalancing once a year
- Low psychological pressure, easy to stick to long-term
- Stocks: CSI 300 ETF (20%) + STAR 50 ETF (5%) [1]
- Bonds: 10-Year Treasury Bond ETF (25%) [1]
- Gold: Gold ETF (25%) [1]
- Cash: Money Market Fund ETF (25%) [1]
- Allocate assets according to different economic environments (growth up/down, inflation up/down)
- Reduce overall portfolio volatility through low correlation between assets
- Theoretically better able to navigate macro cycles
- Better risk-adjusted returns
- The A-share market in 2025 faces the problem of “widespread failure of stock-bond rebalancing mechanisms” [1]
- Severe differentiation among industry sectors, significant volatility in Treasury bond prices
- Requires professional management capabilities and dynamic adjustments
- Add other low-correlation assets (e.g., REITs, commodity ETFs)
- Reduce leverage usage
- Increase rebalancing frequency to cope with high-volatility markets
- Conservative Type: Increase the weight of fixed-income bonds (e.g.,40/60)
- Aggressive Type: Increase the weight of equity assets (e.g.,80/20)
- Valuation Adjustment: Increase equity allocation when the average P/E ratio of the Shanghai Composite Index is below15, reduce when above30 [1]
- Medium risk tolerance
- Hope to participate in long-term stock market growth but want to control drawdowns
According to Q4 2025 data [0]:
- Stock Market: The three major U.S. indices all achieved positive growth, but volatility was relatively high (Nasdaq:1.17%)
- Bond Market: Long-term Treasury bonds performed stably but slightly fell, with yields at low levels
- Commodities: Gold performed strongly, with an increase of over11%
- Sector Differentiation: The energy sector performed best (+0.47%), while the healthcare sector performed worst (-0.55%) [0]
According to professional institutions’ views [1]:
- Bond Allocation: Focus on U.S. sovereign bonds and Asian investment-grade bonds
- Stock Allocation: Emphasize regional and sector diversification, focus on domestic demand-oriented enterprises
- Commodity Allocation: Gold and Japanese yen help reduce portfolio risk
- Cash Allocation: Maintain sufficient liquidity to cope with market uncertainty
- Essentially a disciplined operation of “selling high and buying low” [1]
- Avoid excessive deviation of an asset’s proportion from the target due to price fluctuations
- Time Trigger: Check the portfolio once a year [1]
- Threshold Trigger: Adjust when the proportion of a single asset exceeds 35% or drops to15% [1]
- Sell assets with large gains
- Buy assets with large losses
- Restore to the target allocation ratio
- These strategies are designed for long-term (more than 5 years)[1]
- Short-term market fluctuations are inevitable; avoid frequent position adjustments due to emotions
- Historical data shows that long-term holding can achieve stable returns
- The lower the product management fee rate, the better
- Minimize transaction frequency
- Avoid operations when an asset’s proportion exceeds 25% but is less than35% to save taxes and transaction fees
- Only applicable to mature and stable market environments
- Cannot cope with the Great Depression or war eras
- May lag behind pure stock strategies in bull markets
- Gold does not generate dividends or interest, and its value fluctuates greatly
- Faces the challenge of rising stock-bond correlation in the A-share market
- The allocation of gold assets has a significant impact on performance
- Requires continuous professional management and dynamic adjustments
- Require every asset to perform well at all stages
- Overly focus on short-term performance and ignore long-term goals
- Frequently adjust allocation during market fluctuations
- Understand the specific role of each asset in the portfolio
- Accept that “there is always one type of asset performing poorly” is a normal phenomenon
- Focus on the overall portfolio performance rather than a single asset
- Age Factor: Young investors can appropriately increase the proportion of stocks
- Risk Tolerance: High-risk preference investors can increase equity allocation
- Investment Term: Short-term funds should increase the proportion of cash and bonds
- Income Stability: Investors with unstable income should maintain higher liquidity
- Asset Diversification: Hold low-correlation assets to reduce overall portfolio risk
- Discipline: Strictly implement rebalancing rules and avoid emotional decisions
- Long-Term Perspective: Accept short-term fluctuations and focus on long-term goals
- Cost Awareness: Reduce transaction costs and management fees
- Personalization: Adjust allocation ratios according to one’s own situation
[0] Jinling API Data - Market indices, Gold ETF, Long-term Treasury Bond ETF data
[1] Online search results:
- “Classic Asset Allocation Strategies”, Caifuhao, December 25, 2025
- “Are All-Weather Strategy Products Still Attractive? Localization Transformation is the Key to Breaking the Deadlock”, Securities Times
- “From 0 to 1: How to Build a ‘Permanent Portfolio’?”, Xueqiu Finance
- “In-Depth Understanding of Harry Browne’s Permanent Portfolio”, re: Tang
- “2025 Q2 Asset Allocation Strategy”, Hang Seng Bank
- “Wealth Management Market Outlook: Steady Growth in Scale, Asset Allocation Meets Adjustments”, Economic Information Daily
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.
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.
