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

MatrixportPublished on 2026-02-12Last updated on 2026-02-12

Abstract

Matrixport Research Report: Reassessing the Long-Term Allocation Value of U.S. Stocks — Institutional Advantages, Industry Cycle, and Global Capital Resonance The core of U.S. stocks' long-term allocation value lies in the convergence of three key drivers: institutional advantages, the tangible AI industry cycle, and structural increases in global capital allocation—not short-term macro trading. U.S. equities remain a core allocation option for long-term investors, supported by structural strengths. From 2015 to 2025, the Nasdaq Composite significantly outperformed major Chinese tech indices with lower drawdowns, reflecting the benefits of a mature innovation financing ecosystem, corporate cash flow discipline, and the dollar’s global liquidity role. The AI industry is transitioning from infrastructure expansion to application penetration. Real adoption is accelerating, with 78% of organizations reporting AI use in 2024. U.S. AI-related capex nearly doubled from 2019 to 2025, indicating sustained investment cycle rather than speculative hype. Global institutional holdings of U.S. equities rose ~48% from 2023 to 2025, reflecting strategic reallocation—not short-term inflows. This is driven by the market’s depth, regulatory predictability, and concentrated exposure to leading tech and AI assets. While 2026 may see moderate rate cuts and fiscal policy debates, the long-term outlook remains intact. Short-term volatility may offer entry opportunities, given the resilience of ...

"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 the current environment 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 profit foundation of the index 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避险; 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, the capital expenditure of 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 a "storytelling retreat" but a genuine investment in expanding computing power and infrastructure.

We divide the AI profit realization path into three stages: the infrastructure红利期, the platform expansion and servitization realization period, and the application layer penetration and business model再造期. The market is currently 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 down, the cost reduction and efficiency improvements brought by AI will continue to扩散 to 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更像全球机构资金的长期配置权重上调, rather than short-term chasing.

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超大规模市场 globally capable of承载万亿级增量资金 with controllable transaction 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 provide the most concentrated supply of high-quality assets in long-term tracks such as technology, software, cloud, and AI platform companies, and ETFs and indexing 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 macro baseline 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 valuation environments. Although economic growth has slowed from high levels, CBO predictions still maintain 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, and 2026 will likely enter a period of intensive policy games. Fiscal pressure may exacerbate long-term interest rate volatility, making the market阶段性更为颠簸. However, it is important to distinguish that: volatility does not equal trend reversal. Under the premise that the three long-term driving forces of institutional advantages, industry cycles, and capital structure have not fundamentally动摇, short-term policy disturbances恰恰为分批配置、拉长持有周期提供了窗口.

Conclusion

The long-term allocation value of U.S. stocks is essentially the product of a "institution—industry—capital" trinity positive feedback system. It does not rely on macro luck in any given year, nor does it depend on the valuation myth of a single leading stock. Instead, it is rooted in more stable and replicable structural dividends. For配置型资金 pursuing long-term compound interest, the "core base position" attribute of U.S. stocks has not weakened; on the contrary, 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 quickly 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.

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Related Questions

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

AThe three core structural forces are the institutional advantages that build a compound interest foundation, technological innovation driving real demand, and the long-term shift in global capital allocation logic.

QHow does the report quantify the institutional advantage of the U.S. market in terms of index performance?

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

QWhat stage of the AI industry cycle does the report suggest the market is currently in, and what characterizes this phase?

AThe market is currently in a critical transition phase from 'infrastructure expansion' to 'application penetration' in the AI industry cycle, characterized by the parallel validation of real demand and real capital investment.

QWhat is the primary reason cited for the strategic rebalancing and increased allocation of global institutional funds to U.S. stocks?

AThe primary reasons are that the U.S. stock market is the only ultra-large-scale market capable of accommodating trillions in incremental capital with controllable trading impact costs, and it offers the most concentrated supply of high-quality assets in long-term sectors like technology and AI, with highly mature ETF and indexing tools.

QHow does the report view the impact of potential 2026 macro policy disturbances, such as tax policy debates, on the long-term trend of U.S. stocks?

AThe report views short-term policy disturbances as creating volatility but not reversing the long-term trend. It argues that as long as the three core structural drivers remain intact, such volatility provides a window for phased allocation and extending the holding period.

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