Matrixport Research Report | Re-evaluating the Long-Term Allocation Value of U.S. Stocks: Institutional Dividends, Industry Cycles, and Global Capital Resonance

MatrixportPublicado em 2026-02-13Última atualização em 2026-02-13

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Matrixport Research Report: Reassessing the Long-Term Allocation Value of U.S. Stocks — Institutional Advantages, Industry Cycle, and Global Capital in Sync The core of U.S. stocks' long-term allocation value lies in the convergence of three key drivers: institutional advantages, the real validation cycle of the AI industry, and structural capital inflows—rather than short-term macro trading opportunities. U.S. equity markets, particularly the Nasdaq, have significantly outperformed global peers like China’s创业板指 and恒生科技指数 from 2015 to 2025, with smaller drawdowns and stronger compound returns. This resilience stems from deep institutional strengths: a mature innovation financing ecosystem, corporate fiscal discipline, shareholder return mechanisms, and the dollar’s global liquidity role. The AI industry is transitioning from infrastructure expansion to application penetration. Real adoption is accelerating—78% of organizations reported using AI in 2024—and capital expenditure by AI-related U.S. firms has nearly doubled since 2019. This reflects tangible investment, not speculative valuation. Global institutional capital, particularly from Europe, has structurally increased allocation to U.S. equities, with overseas holdings rising ~48% over the past two years. The deep, liquid U.S. market offers concentrated exposure to leading tech and AI assets with high regulatory predictability and low transaction costs. While 2026 may see moderate rate cuts and fiscal policy debates...

"The core of the long-term allocation value of U.S. stocks lies in the resonance of three major driving forces: institutional dividends, the real validation cycle of the AI industry, and the structural increase in global capital allocation, rather than short-term macro trading."

In an era of heightened volatility across various asset classes, re-evaluating the core allocation value of U.S. stocks is of practical significance. Among global equity assets, U.S. stocks can still be considered one of the core allocation options for some long-term investors. This judgment is not based on short-term bets on the 2026 macro environment but stems from three more stable and sustainable structural driving forces—the compound interest foundation built by institutional advantages, real demand driven by technological innovation, and the long-term shift in global capital allocation logic.

Institutional and Historical Compound Interest: An Unreplicable "Underlying Architecture"

From early 2015 to the end of 2025, the cumulative gain of the Nasdaq Composite Index was approximately 2 to 3 times that of the ChiNext Index and the Hang Seng Tech Index. More importantly, its maximum drawdown during the sample period was only -36.4%, significantly lower than the -69.7% and -74.4% of the latter two. This means that in the U.S. stock market, investors are more likely to realize returns through "time + compound interest" rather than "strong timing."

This outcome is not accidental but a quantitative reflection of institutional advantages. The U.S. capital market has built a complete innovation financing chain from venture capital and private financing to listing and refinancing, enabling companies to access resources with lower friction over longer cycles, forming a positive cycle of "investment—growth—reinvestment." At the same time, listed companies generally adhere to cash flow discipline and shareholder return mechanisms, making the index's profit base more resilient amid macro fluctuations. Additionally, the global pricing attribute of U.S. dollar assets赋予美股天然的流动性承接能力—when risk appetite contracts, capital flows back for safety; when it expands, it absorbs incremental risk exposure. This dual moat of "institution + currency" is the fundamental reason why the compound interest effect can be sustained.

AI-Driven Industry Cycle: From "Valuation Imagination" to "Real Investment"

Tech giants have contributed the majority of the excess returns in this round of U.S. stocks. However, unlike the "bubble theory" feared by some in the market, we believe the current phase is a critical transition from "infrastructure expansion" to "application penetration" in the AI industry cycle, characterized by the parallel validation of real demand and real investment.

Stanford's "AI Index 2025" shows that 78% of organizations reported using AI in 2024, a significant increase from 55% in 2023, indicating accelerated diffusion on the demand side. On the supply side, capital expenditures by U.S.-listed AI-related companies increased from approximately $208.26 billion in 2019 to $384.44 billion in 2025, a cumulative growth of nearly 100%. This is not "retreating after storytelling" but rather building computing power and infrastructure with real capital.

We divide the AI profit realization path into three stages: the infrastructure dividend period, the platform expansion and service realization period, and the application layer penetration and business model再造 period. The current market is still in the window of transition from the first to the second stage, with application layer penetration far from saturated. Even if the marginal gains of leading stocks slow, the cost reduction and efficiency improvements brought by AI will continue to diffuse into more industries, providing broader and longer-tail growth momentum for U.S. stocks.

Global Capital Allocation: Shifting from "Transactional Inflows" to "Structural Increase"

Over the past three years, the scale of U.S. equity holdings by overseas investors has shown a "step-up" increase—rising from $14.63 trillion in 2023 to $21.59 trillion in 2025, a cumulative increase of approximately 47.6% over two years. This level of sustained growth resembles a long-term increase in the allocation weight of global institutional capital rather than short-term chasing of gains.

From a regional structure perspective, Europe contributed about 51% of the增量, further confirming that this is a strategic rebalancing led by mature market capital. The underlying reasons can be summarized into three points: First, the U.S. stock market is the only ultra-large-scale market globally capable of承载trillion-level incremental capital with controllable trading impact costs; Second, the continuity, comparability of information disclosure, and predictability of the regulatory system significantly reduce the information asymmetry costs of cross-market investment; Third, U.S. stocks offer the most concentrated supply of high-quality assets in long-term sectors such as technology, software, cloud, and AI platform companies, and ETFs and index tools are highly mature, facilitating low-cost, high-efficiency expression of long-term allocation views.

Macro Environment: Coexistence of Moderate Rate Cuts and Policy Games, But Long-Term Direction Unchanged

The baseline macro scenario for 2026 is closer to "declining interest rates + cooling but still resilient economy." The Fed's SEP predicts a median policy rate of about 3.4% by the end of 2026, a marginal decline from the current target range, which is favorable for corporate financing and the valuation environment. Although economic growth is slowing from high levels, CBO predictions still maintain it within a normal growth range of around 1.8%, and corporate profits are more likely to follow a path of "slowing growth rather than a cliff-like downward revision."

A notable disturbance variable is tax policy. Many individual and family provisions of the 2017 tax reform are set to expire at the end of 2025, making 2026 likely a period of intensive policy games. Fiscal pressures may exacerbate long-term interest rate volatility, making the market more bumpy periodically. However, it is essential to distinguish that: volatility does not equal a trend reversal. As long as the three long-term driving forces—institutional advantages, industry cycle, and capital structure—remain fundamentally unshaken, short-term policy disturbances恰恰provide a window for分批配置and extending holding periods.

Conclusion

The long-term allocation value of U.S. stocks is essentially the product of a trinity positive feedback system of "institution—industry—capital." It does not rely on a particular year's macro luck nor on the valuation myth of a single leading stock but is rooted in more stable and replicable structural dividends. For配置型资金pursuing long-term compound interest, the "core foundational holding" attribute of U.S. stocks has not weakened; instead, against the backdrop of rising global uncertainty, it appears increasingly scarce.

Matrixport has recently officially launched U.S. stock trading services, supporting stablecoin deposits and withdrawals, 7×24-hour instant settlement, helping you swiftly access global assets and stay ahead in asset allocation.

Disclaimer: The market carries risks, and investment requires caution. This article does not constitute investment advice. Digital asset trading may involve significant risks and instability. Investment decisions should be made after careful consideration of personal circumstances and consultation with financial professionals. Matrixport is not responsible for any investment decisions based on the information provided in this content.

Perguntas relacionadas

QWhat are the three core structural drivers that support the long-term allocation value of U.S. stocks according to the Matrixport report?

AThe three core structural drivers are institutional advantages (system dividends), real demand driven by technological innovation (AI industry cycle), and the long-term shift in global capital allocation logic.

QHow does the report quantify the institutional advantages of the U.S. stock market in terms of risk and return?

AFrom 2015 to 2025, the Nasdaq Composite Index had a cumulative return about 2-3 times that of the ChiNext and Hang Seng Tech indices, with a maximum drawdown of only -36.4%, significantly lower than -69.7% and -74.4% for the latter two.

QWhat stages does the report divide the AI profit realization path into, and which stage is the market currently in?

AThe AI profit path is divided into three stages: infrastructure dividend period, platform expansion and service realization period, and application layer penetration and business model restructuring period. The market is currently transitioning from the first to the second stage.

QWhat is the trend of overseas investors' holdings of U.S. equity assets over the past three years, and what does this indicate?

AOverseas holdings of U.S. equities rose from $14.63 trillion in 2023 to $21.59 trillion in 2025, a cumulative increase of about 47.6% over two years, indicating a structural increase in long-term allocation weights by global institutional funds rather than short-term speculation.

QHow does the report view the impact of macroeconomic factors like interest rates and tax policy on the long-term trend of U.S. stocks?

AThe report suggests that while macroeconomic factors such as moderate interest rate cuts and tax policy debates may cause short-term volatility, they do not alter the long-term direction, as the core drivers—institutional advantages, industry cycle, and capital flows—remain fundamentally intact.

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