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2025 Comparative Analysis of Investment Value for Major Global Broad-Based Indices

#global_broad_indices #investment_value_analysis #2025_market_review #2026_allocation_strategy #us_stocks #hk_stocks #a_stocks
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December 29, 2025

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2025 Comparative Analysis of Investment Value for Major Global Broad-Based Indices

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2025 Comparative Analysis of Investment Value for Major Global Broad-Based Indices

Based on data as of December 29, 2025 [0], this report systematically compares the investment value of broad-based indices from A-shares, Hong Kong stocks, and U.S. stocks across multiple dimensions including return, risk, technical aspects, and allocation value.

I. 2025 Market Performance Overview
Core Data Comparison (Year-to-Date Performance)
Index Current Price YTD Return Annualized Volatility Maximum Drawdown Sharpe Ratio RSI-14
S&P 500
$6,929.95 +46.11% 16.01% -18.90% 1.09 56.2
NASDAQ
$23,593.10 +59.78% 21.46% -24.32% 1.07 50.3
Hang Seng Index
25,904.33 +54.30% 24.49% -19.95% 0.90 46.6

(Note: Some are based on Python statistical standards. For comparison purposes, multi-period standards are also provided for reference.)

  • S&P 500 (approx.247 trading days standard): Up approx.18.09% during the period, annualized volatility approx.18.88%, Sharpe ratio approx.1.00 [0]
  • NASDAQ (approx.247 trading days standard): Up approx.22.37% during the period, annualized volatility approx.24.54%, Sharpe ratio approx.0.96 [0]
  • Hang Seng Index (approx.245 trading days standard): Up approx.29.96% during the period, annualized volatility approx.24.02%, Sharpe ratio approx.1.29 [0]
Key Findings
  • Absolute Return Leader
    : NASDAQ leads with an approx.59.78% YTD return [0].
  • Risk-Adjusted Return
    : S&P 500’s Sharpe ratio leads across multi-period standards (approx.1.09 or1.00), while Hang Seng Index is also optimal in some standards (approx.1.29) [0].
  • Volatility Control
    : S&P500 has the lowest annualized volatility of approx.16.01%, reflecting good stability [0].
  • Maximum Drawdown
    : NASDAQ has the highest annualized drawdown of approx.-24.32% with highest volatility; Hang Seng Index and S&P500 have similar drawdown ranges (approx.-19.95% vs -18.90%) [0].

(All above data and conclusions are based on brokerage API and Python statistics [0], and charts are also from [0])

2025 Comprehensive Analysis of Major Global Broad-Based Indices

(Chart Description: From left to right, top to bottom: 2025 return trend comparison, annual涨跌幅度, annualized volatility, RSI-14 vs maximum drawdown comparison. Coverage period: Jan 1,2025 to Dec29,2025. Data and chart source: Brokerage API and Python statistics [0])

II. In-Depth Analysis of Each Market

###1. U.S. Stock Market: Structural Bull Market Continues

S&P500 Comprehensive Rating:92/100

Strengths:

  • Strong return: YTD approx.46.11% (multi-period standard approx.18.09%) [0]
  • Excellent risk-adjusted performance: Sharpe ratio leads across multi-period standards (approx.1.09 or 1.00) [0]
  • Best volatility control: Annualized volatility approx.16.01% (or approx.18.88%) [0]
  • Healthy technicals: RSI approx.56.2, price above 50-day and 200-day moving averages (+2.06% from 50-day, +10.57% from200-day) [0]

Risk Factors:

  • Valuation pressure: Well-known value investment institution GMO warns that AI-related component stocks are overvalued, with potential correction and style diffusion risks ahead [1]
  • High concentration: Market trends are concentrated in a few AI leaders, with obvious structural divergence

NASDAQ Comprehensive Rating:83/100

Strengths:

  • Highest return: YTD approx.59.78% leads [0]
  • Tech innovation-driven: AI industry trend continues
  • Liquidity-friendly: Macroeconomic environment and capital flows are generally favorable for growth sectors

Risk Factors:

  • High volatility: Annualized volatility approx.21.46% (or approx.24.54%), maximum drawdown approx.-24.32%, high volatility and drawdown risks [0]
  • Valuation透支: Popular AI track valuations are already at high levels, with increasing possibility of volatility amplification and style switching [1]

###2. Hong Kong Stock Market: Valuation Repair Trend Established

Hang Seng Index Comprehensive Rating:82/100

Strengths:

  • Strong rebound in2025: YTD approx.54.30% (multi-period standard approx.29.96%) [0]
  • Significant valuation attractiveness: Institutions expect a target range of approx.28,000–30,000 points in the next12 months, relatively low valuation, strong expectations for profit growth recovery from low levels [2]
  • Connects Chinese and global capital: Benefits from rebalancing of Sino-US policies and capital flows
  • Improved technicals: RSI approx.46.6, in neutral range; +4.86% from 200-day moving average, in trend channel [0]

Risk Factors:

  • High volatility: Annualized volatility approx.24.49% (or approx.24.02%), high market volatility [0]
  • Geopolitical and exchange rate sensitivity: More directly affected by macro policies and external shocks
  • Liquidity dependence: Changes in international capital flows will amplify volatility

###3. A-Shares Market: Structural Opportunities Expected

Market Characteristics (Based on Public Information and Search Results):

  • Overall valuation is at a relatively low historical level with sufficient repair space [3][4]
  • Policy support intensity increased, steady growth and capital market reforms continue to advance
  • Small and medium-cap and growth styles are active, AI, high-end manufacturing and other themes are concerned [3]
  • Index stabilized and rebounded during the year, but absolute gains and volatility are not fully covered by tool data

Allocation Value:

  • Valuation depression: Compared with U.S. stocks, the “valuation repair” logic at relatively low valuations still exists [3]
  • Domestic demand and policies: Steady growth policies and industrial upgrading (new energy, high-end manufacturing, digital economy) bring structural opportunities [3]
  • High volatility: Sensitive to policy and liquidity changes, requires timing and rhythm把握

(Note: This section on A-shares combines supplementary information not directly provided by web searches and brokerage APIs [3][4]; specific valuation indicators such as P/E and P/B are not obtained from this tool result, so no source-free numerical disclosure is made.)

III. Valuation Comparison (Qualitative Assessment)
  • U.S. Stocks:
    Current levels are in the historical high range (S&P500 +10.57% from 200-day moving average), absolute valuation is not low; AI leaders have high valuations and significant divergence, valuation compression risks need to be vigilant [1].
  • Hong Kong Stocks:
    Valuation is still attractive, relatively low compared to major global markets, with greater space for “Davis Double Click” of profit repair and valuation re-rating [2].
  • A-Shares:
    From public information, overall valuation is at a low historical position, and the valuation repair logic is strong, but specific P/E and P/B are not obtained from this tool result [3][4].

(Explanation: This paragraph is a qualitative assessment; no specific values such as P/E and P/B are given because such indicators are not provided in the tool results.)

IV.2026 Allocation Strategy Recommendations
Overall Allocation Approach (“Barbell” Portfolio)
  1. Core Allocation (60-70%)

    • S&P500: As core position, balances return and stability [0]
    • Allocation suggestion:40-50%
  2. Offensive Allocation (20-30%)

    • NASDAQ: Seize AI and tech growth track opportunities, but pay attention to volatility and drawdown control [0]
    • Allocation suggestion:15-20%
  3. Valuation Repair Allocation (10-20%)

    • Hang Seng Index/A-shares: Valuation depression and policy-driven repair opportunities [2][3]
    • Allocation suggestion:10-20%
Risk Warnings
  • U.S. Stocks:
    Pay attention to AI track valuation overdraft and marginal changes in liquidity, prepare for style switching plans [1]
  • Hong Kong Stocks:
    High volatility, more affected by macro and policies, need closer tracking and risk hedging [2]
  • A-Shares:
    Sensitive to policy and liquidity changes, requires timing and structural adjustment [3]
Phased Position Building and Rebalancing
  • Build positions in batches during market corrections to avoid chasing highs
  • Rebalance the portfolio quarterly to control single market exposure
  • Exchange rate hedging: Appropriate exchange rate risk hedging is recommended for cross-currency allocation
V. Summary and Ranking

Comprehensive Investment Value Score (Full Score 100):

  • 🥇
    S&P500:92 points
    — Best balance of return and risk
  • 🥈
    NASDAQ:83 points
    — High return but high volatility, suitable for investors with higher risk appetite
  • 🥉
    Hang Seng Index:82 points
    — Clear valuation repair logic, upward space expected, but high volatility [0]

Final Recommendations:

  • Conservative Investors
    : Take S&P500 as core, moderately allocate Hong Kong stocks/A-shares valuation repair targets
  • Aggressive Investors
    : Can increase NASDAQ allocation on the basis of S&P500, use Hong Kong stocks/A-shares as satellite allocation
  • 2026 Outlook
    : U.S. stocks continue structural growth, Hong Kong stocks continue valuation repair, A-shares structural opportunities are worth attention
References

[0] Gilin API Data (including real-time quotes, daily and annual statistics, technical indicators, Python-calculated valuations and scores)
[1] Yahoo Finance - “Major Fund Bearish on S&P500, Names AI Stocks as Overvalued” (https://hk.finance.yahoo.com/news/名基金看淡標指-點名ai股估值過高-140955882.html)
[2] Yahoo Finance - “Hang Seng Index Expected to Reach 28000-30000 Points Next Year, Fed May Cut Rates by75 Basis Points by End of Next Year” (https://hk.finance.yahoo.com/news/恒指明年料28000-30000點聯儲局明年底前或減息75基點-041553549.html)
[3] Web Search and Public Information - Information on 2025 A-shares performance, valuation and policy aspects (Time range: Past 1 month; Sources: Yahoo Finance, Bloomberg Chinese, etc.)
[4] Web Search and Public Information - Discussions on 2025 global assets and A-shares/Hong Kong stocks/U.S. stocks allocation strategies (Time range: Past 1 week; Sources: Financial media and institutional views)

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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.