Analysis of Asset Allocation Strategies Amid Sino-US Monetary Policy Divergence

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In 2026, the monetary policies of China and the US show obvious divergence characteristics:
- Monetary and fiscal policies tend to be conservative, focusing on bottom-line support
- Policy focus shifts to resolving structural contradictions, especially technological progress and tax reform
- Sustainability of AI investment becomes a key policy focus
- Local government revenue structure transformation is advancing
- Fiscal discipline is relatively lost, adopting a dual monetary and fiscal easing path
- Based on market data, US stocks have performed relatively stably recently, with the S&P 500’s 30-day volatility at 0.79%[0]
- Stock price: HK$597.50 (December 16, 2025)[0]
- Market capitalization: HK$5.43 trillion
- P/E ratio: 24.43x
- ROE (Return on Equity): 20.59%
- Net profit margin: 29.54%
- Year-to-date return: 43.63%
- 1-year return: 47.31%
- 3-year return: 98.58%[0]
Based on data analysis from June to December 2025, Tencent Holdings shows:
- Total return: 20.99%
- Annualized volatility: 23.52%
- Maximum drawdown: -11.22%[0]

- Current price: $55.08/bbl (-3.06% daily drop)[0]
- 52-week range: $55.04-$80.77/bbl
- Period return: 10.03%
- Annualized volatility:30.58%
- Maximum drawdown:-16.80%[0]
- Period return:-21.64%
- Annualized volatility:18.89%
- Maximum drawdown:-24.59%[0]
Against the backdrop of policy divergence, the investment logic for commodities needs to be re-examined:
- Crude Oil Market: Supported by US easing policies, but faces pressure from slowing Chinese demand
- Precious Metals: Safe-haven function strengthens amid policy uncertainty, but rising real interest rates pose pressure
- Industrial Metals: China’s economic structural adjustment affects demand structure; demand for high-tech related metals remains relatively stable

###1. Tech Stock Allocation Logic
- Tech stocks like Tencent benefit from China’s AI policy support
- High ROE (20.59%) reflects strong profitability
- Relatively low volatility (23.52%) vs crude oil (30.58%)
- Changes in policy regulatory environment
- Escalation of Sino-US tech competition
- Impact of macroeconomic slowdown
###2. Commodity Allocation Strategy
- Crude oil: Moderate allocation, benefiting from US easing policies
- Gold: Cautious allocation, monitor changes in real interest rates
- Industrial metals: Selective allocation, focus on new energy and high-tech related varieties
###3. Risk Management Framework
- Tencent Holdings provides relatively stable tech stock exposure
- Commodities provide inflation protection and hedging functions
- Recommended allocation ratio: Tech stocks 40-50%, commodities20-30%, other assets20-40%
- Use policy divergence for cross-market hedging
- Monitor exchange rate risks: RMB vs USD exchange rate fluctuations
- Commodity futures and options strategies to manage price risks
- Changes in Sino-US trade relations
- Adjustments to China’s tech regulatory policies
- Sustainability of US fiscal policy
- Uncertainty in global economic recovery
- Escalation of geopolitical conflicts
- Changes in inflation expectations
- Increased market volatility leading to liquidity tightening
- Seasonal characteristics of commodity markets
Against the backdrop of 2026 Sino-US monetary policy divergence, the following strategies are recommended:
- Core Allocation: Center on high-quality tech stocks like Tencent to capture the dividends of China’s technological progress
- Tactical Allocation: Moderately allocate to commodities to take advantage of arbitrage opportunities from policy divergence
- Risk Management: Establish a sound risk control system and dynamically adjust positions
Based on historical data analysis, Tencent Holdings shows relatively better risk-adjusted return characteristics, with a Sharpe ratio superior to commodity assets, making it suitable as the core allocation of an investment portfolio[0].
[0] Gilin API Data
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.
