Building an Asset Allocation Strategy That Balances Growth and Stability
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Based on the current market environment and classic investment theories, I will provide you with a systematic asset allocation plan from four dimensions:
According to the latest market data and analysis, the current economic environment shows the following characteristics:
Recent market data shows:
- S&P 500 Index rose 2.73% in the past 60 days with a volatility of 0.81% [0]
- Dow Jones Index performed relatively strongly, rising 4.03% [0]
- Sector rotation is obvious: Basic Materials (+0.47%) and Energy (+0.43%) led the gains, while Healthcare (-0.55%) lagged [0]
The market expects U.S. stock earnings growth to reach 14.4% in 2026 [1], but valuations are already at a high level and need to be treated with caution.
- Core Allocation(60% of stock position): Broad-based indices such as CSI 300 ETF and S&P 500 ETF to capture market average returns
- Satellite Allocation(40% of stock position): Structural opportunities in technology growth, healthcare, consumption upgrade, etc.
- Geographical Diversification: Allocate across multiple markets such as A-shares, U.S. stocks, and Hong Kong stocks to reduce single-market risk
- AI-related tech stocks benefit from the capital expenditure wave [1]
- High-quality companies with reasonable valuations and cash flow have defensive value
- Emerging market stocks may benefit from global capital reallocation [2]
- Treasury Bonds(50% of bond position): 10-year Treasury Bond ETF, providing a risk-free return benchmark
- Investment-grade Credit Bonds(30% of bond position): Moderately enhance returns
- Convertible Bonds(20% of bond position): Balance bond floor safety and equity elasticity
- Interest rate cut expectations are favorable for bond prices [1]
- The correlation between bonds and stocks has decreased, enhancing diversification effects
- Pay attention to credit risk and prefer high-rated varieties
- Gold(60% of commodity position): Anti-inflation and safe-haven properties, allocation ratio 10-15%
- Energy Commodities(25% of commodity position): Benefit from supply chain tensions and geopolitical risks
- Industrial Metals(15% of commodity position): Copper and other varieties benefit from infrastructure construction [1]
- Gold prices are at historical highs; the allocation ratio can be moderately reduced [2]
- Copper prices have seen the longest consecutive rise since 2017 [1], reflecting supply tightness expectations
- As a “phased tool”, commodities do not need to perform well throughout the year
- Money Market Fund(70% of cash position): On-exchange money market ETFs such as Yinhua Rili, with an annualized return of about 2%
- Short-term Wealth Management(30% of cash position): Bank T+0 wealth management products, balancing returns and liquidity
- Target Allocation Ratio: 5-10% of portfolio weight
- Provide the ability to increase positions during market corrections
- During the interest rate cut process, cash yields decline, but liquidity value rises
- In 2025, the scale of “Fixed Income+” funds hit a historical high of 2.42 trillion yuan [2], reflecting strong demand for stable allocation from funds
- 60% Stocks: Provide long-term growth momentum
- 40% Bonds: Stabilizer, reduce volatility
- Applicable Scenario: Relatively stable market trends, moderate risk preference of investors
- Do not allocate funds equally, but equalize risk contributions
- Usually need to significantly increase bond allocation ratio (achieved using leverage)
- Commodities and cash account for a considerable proportion to cope with inflation and deflation
- Applicable Scenario: Uncertain economic environment, pursuing stable returns
- High stock weight, allocate a large number of alternative investments (PE, VC, real estate, etc.)
- Assets with poor liquidity but high expected returns account for more than 50% [3]
- Applicable Scenario: Long-term funds, professional investors, pursuing excess returns
Bond Category: 50%
- 10-Year Treasury Bond ETF: 30%
- High-grade Credit Bond: 15%
- Convertible Bond:5%
Stock Category:30%
- Broad-based Index (CSI300/S&P500):20%
- Dividend Low Volatility ETF:10%
Commodity Category:10%
- Gold ETF:10%
Cash Category:10%
- Money Market Fund:10%
Stock Category:50%
- Core Broad-based Index (CSI300 + S&P500):30%
- Growth Theme (Technology, Healthcare):12%
- Emerging Markets:5%
- Dividend Strategy:3%
Bond Category:35%
- Treasury Bond ETF:20%
- Credit Bond:10%
- Convertible Bond:5%
Commodity Category:10%
- Gold ETF:7%
- Energy/Industrial Metals:3%
Cash Category:5%
- Money Market Fund:5%
Stock Category:65%
- Core Broad-based Index:35%
- Technology Growth:15%
- Sub-sector Leaders:10%
- Global Allocation:5%
Bond Category:20%
- Treasury Bond + Credit Bond:15%
- Convertible Bond:5%
Commodity Category:10%
- Gold:5%
- Other Commodities:5%
Cash Category:5%
###1. Dynamic Adjustment Mechanism
- Low Stock Valuation(Shanghai Composite P/E Ratio <15x): Moderately overweight equity assets
- High Stock Valuation(Shanghai Composite P/E Ratio>30x): Reduce equity position, increase bonds and cash
- High Bond Yield: Increase allocation of long-duration bonds
- Low Bond Yield: Shorten duration, increase floating-rate varieties
- Recovery Period: Overweight stocks and commodities, standard allocation of bonds
- Overheating Period: Standard allocation of stocks and commodities, underweight bonds
- Stagflation Period: Overweight commodities and cash, underweight stocks and bonds
- Recession Period: Overweight bonds and cash, underweight stocks
###2. Regular Rebalancing
- Trigger rebalancing when the proportion of an asset class deviates from the target allocation by more than 5 percentage points
- Achieve “buy low, sell high” by “selling part of the assets with large gains and buying underallocated assets”
- Rebalancing is essentially a disciplined investment strategyto avoid emotional decisions
###3. Long-Term Holding Principle
- Asset allocation strategy is designed for long-term (more than 5 years)[2]
- Short-term market fluctuations are inevitable; avoid frequent position adjustments
- Historical data shows that long-term holding can achieve better risk-adjusted returns
###4. Risk Management Measures
- Diversified Investment: Across asset classes, regions, and industries
- Risk Self-Assessment: Clarify risk tolerance and fund duration before investing [2]
- Dollar-Cost Averaging Strategy: For liquid assets, use regular fixed-amount investment to smooth costs
- Stop-Loss Discipline: Set stop-loss lines for high-risk assets
###1. Responding to the Risk of “U.S. Exceptionalism” Weakening
In 2025, the market observed the weakening of “U.S. Exceptionalism”, promoting a re-evaluation of the global geo-economy [2]. This means:
- Moderately reduce over-reliance on U.S. assets
- Increase allocation to other markets such as China and Europe
- Pay attention to the impact of geopolitical risks on commodities
###2. Seizing Structural Opportunities from AI Technology Revolution
AI-related investments have injected momentum into U.S. economic growth, and are expected to remain strong in 2026 [1]:
- Core Allocation: Tech Leader ETFs (e.g., Nasdaq 100)
- Satellite Allocation: Sub-sectors such as semiconductors and computing infrastructure
- Pay attention to valuation risks and avoid chasing high prices
###3. Coping with Complex Game Between Inflation and Interest Rates
Although inflation expectations have eased, vigilance is still needed:
- Moderately allocate inflation-protected bonds (TIPS)
- Keep physical assets such as gold as hedges
- Pay attention to the impact of real interest rate levels on asset prices
In a changing market environment, successful asset allocation requires:
- Clarify the Responsibilities of Each Asset Class: Do not force each asset class to perform well in every stage, but let each asset perform its duties
- Establish a Disciplined Framework: Overcome human weaknesses through principles such as regular rebalancing and long-term holding
- Maintain Dynamic Adjustment Capability: Moderately adjust allocation ratios based on factors such as valuation levels and economic cycles
- Adhere to the Principle of Diversification: Achieve risk diversification across multiple dimensions such as asset classes, regions, and industries
- Match Personal Characteristics: Choose a suitable allocation plan based on risk tolerance, investment period, and fund nature
The core of asset allocation is not to predict the market, but to
[0] Jinling API Data (Market Indices, Sector Performance, Technical Indicator Data)
[1] Bloomberg - “Copper Racks Up Longest Rally Since 2017 With Bulls at the Helm” (https://www.bloomberg.com/news/articles/2025-12-30/copper-racks-up-longest-rally-since-2017-with-bulls-at-the-helm)
[1] Seeking Alpha - “SPY: Market Expects 14.4% Earnings Growth In 2026, Can Double-Digit Return Continue?” (https://seekingalpha.com/article/4856244-spy-market-expects-14-4-percent-earnings-growth-in-2026-can-double-digit-return-continue)
[1] People’s Daily - “Is It Still Worth Buying U.S. Stocks in 2026?” (https://paper.people.com.cn/gjjrb/pc/content/202512/29/content_30127730.html)
[1] Manulife Investment - “2026 Global Macroeconomic Outlook” (https://caifuhao.eastmoney.com/news/20251225162035084543510)
[1] J.P. Morgan Private Bank - “Three Signs of Economic Rebound” (https://privatebank.jpmorgan.com/apac/cn/insights/markets-and-investing/tmt/shock-absorption-3-signs-the-economy-is-picking-up-from-here)
[2] Caifuhao - “Classic Asset Allocation Strategies” (https://caifuhao.eastmoney.com/news/20251225090956801561550)
[2] Caifuhao - “Investing in Fixed Income+ This Way May Provide a Better Experience” (https://caifuhao.eastmoney.com/news/20251223225045327719950)
[2] NetEase - “Farewell to 2025: A Review of Annual Hot Words in the Fund Circle” (https://www.163.com/dy/article/KHUDV2DP0519BKFH.html)
[3] Postal Savings Bank of China - “Brief Introduction to 3 Classic Asset Allocation Strategies” (https://www.psbc.com/cn/common/xfzqybhzl/jrzsxc/202209/t20220914_184735.html)
[3] Howbuy Fund - “Classic Asset Allocation Models at Home and Abroad, and China’s Asset Allocation Path” (https://www.howbuy.com/news/2023-11-29/5827798.html)
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.
