The Hong Kong Liquidity Nexus: Deconstructing Goldman Sachs’ Overweight Thesis on HKEX

The Hong Kong Liquidity Nexus: Deconstructing Goldman Sachs’ Overweight Thesis on HKEX

Hong Kong Exchanges and Clearing (HKEX) presents a structural paradox. Since the beginning of the year, its share price has fallen approximately 5%, locked in lockstep with the broader Hang Seng Index. This decline occurs despite a flurry of regulatory interventions and a major sector rotation.

Goldman Sachs’ reaffirmation of a "Buy" rating on HKEX is not merely a vote of confidence in a lagging equity; it is a calculated bet on a structural realignment. This realignment connects Beijing’s state-directed capital policies, a pricing arbitrage in artificial intelligence compute, and Hong Kong’s role as the primary financial valve for the Chinese mainland.

To understand the bull case for HKEX requires discarding superficial market narratives and examining the mechanics of capital flows, regulatory easing, and the hard economics of the Chinese AI supply chain.


The Tri-Partite Liquidity Funnel

The revenue architecture of HKEX is highly sensitive to Average Daily Turnover (ADT). ADT acts as the primary transmission mechanism through which trading volume converts into clearing, settlement, and depository fees. Goldman Sachs’ projection of a sharp recovery in ADT relies on three distinct structural tailwinds that act as a tri-partite liquidity funnel.

[Beijing Regulatory Easing] ──┐
                               │
[Southbound Capital Flows]    ├─> [HKEX Average Daily Turnover (ADT) Growth]
                               │
[Offshore Tech Listings]       ──┘

1. The PBOC-CSRC Regulatory Transmission

The People's Bank of China (PBOC) and the China Securities Regulatory Commission (CSRC) have shifted from broad-spectrum monetary easing to highly targeted capital market directives. By easing initial public offering (IPO) thresholds for artificial intelligence developers and advanced technology firms, mainland regulators are actively redirecting the IPO pipeline toward Hong Kong.

The regulatory goal is to establish a dual-listing corridor. This allows mainland-incorporated "new productive forces"—specifically companies in advanced robotics, semiconductor packaging, and quantum computing—to raise global capital via HKEX while retaining domestic access.

2. Northbound and Southbound Capital Rebalancing

Southbound capital flows through the Stock Connect mechanism are undergoing a structural shift. Facing compressed yields and property market headwinds onshore, mainland institutional capital is seeking yield and dollar-pegged assets through HKEX-listed entities.

Simultaneously, Northbound flows are being energized by foreign allocators seeking a structural entry point into China's hardware and artificial intelligence ecosystem. This capital exchange is not cyclical; it represents a fundamental reallocation of risk assets within Asian portfolios.

3. The Tech IPO Resurgence

The regulatory freeze on tech listings is giving way to a deliberate backlog clearance. With over 400 companies in the active listing pipeline as of mid-2026, HKEX is positioned to capture massive primary and secondary listing volumes. Goldman Sachs estimates that Hong Kong's equity financing will reach $110 billion in 2026, driven by a projected $60 billion in new IPOs and $50 billion in secondary offerings.


The Chinese AI Valuation Arbitrage

The cornerstone of the current HKEX re-rating is the rapid expansion of China's artificial intelligence value chain. To evaluate this objectively, one must look past the market hype and analyze the unit economics.

The global investment community has raised concerns over the massive capital expenditure (CapEx) required to build out AI infrastructure. However, Goldman Sachs' positive stance is built on a massive pricing gap that favors Chinese AI deployment.

  • The Cost-to-Token Ratio: Leading Chinese frontier models, such as DeepSeek, Alibaba's Qwen, and Zhipu’s GLM series, are pricing their APIs at roughly $1 per million tokens.
  • The Global Arbitrage: This is approximately one-fifth to one-eighth of the cost of comparable US models, which charge between $4 and $8 per million tokens.
  • The Volume Lever: While gross margins at this pricing tier are compressed to an estimated 10% to 20%, the ultra-low cost structure is driving exponential enterprise adoption.

Goldman Sachs projects that Chinese AI model API and subscription revenues will scale from 35 billion RMB in 2026 to 879 billion RMB by 2030. This growth is backed by an estimated 25-fold increase in daily token consumption over the next four years.

┌────────────────────────────────────────────────────────┐
│              The Token Pricing Discrepancy             │
├──────────────────────────┬─────────────────────────────┤
│ Chinese Frontier Models  │ $1.00 per million tokens    │
├──────────────────────────┼─────────────────────────────┤
│ US Equivalent Models     │ $4.00 - $8.00 per million   │
└──────────────────────────┴─────────────────────────────┘

This massive volume of token consumption requires hardware. The onshore supply chain—ranging from printed circuit board (PCB) manufacturers to advanced packaging and memory players—is experiencing a surge in capital expenditure to meet this demand.

As these companies outgrow domestic venture funding, their natural destination for liquidity expansion is Hong Kong. The HKEX serves as the vital link, allowing global funds to invest in China's hardware expansion without navigating the direct capital controls of the mainland.


The Structural Bottlenecks of the HKEX Bull Case

A rigorous analysis must account for the structural limits of this investment thesis. HKEX is not a frictionless bet on Chinese tech; it operates at the intersection of geopolitical and macroeconomic pressures.

Geopolitical and Chip Export Constraints

The viability of China’s long-term LLM development depends on access to high-performance compute. Continued export controls on advanced graphics processing units (GPUs) force domestic developers to rely on local hardware alternatives or optimize existing clusters with extreme software efficiency.

If the performance gap between Chinese and Western frontier models widens too far, the projected 25-fold token growth could hit a wall. This would directly cap the valuation premiums of tech firms listing on HKEX.

The Margin Compression Trap

While low token pricing drives massive adoption volume, it severely limits the near-term profitability of software developers.

If these companies cannot transition from low-margin API volume to high-margin enterprise software applications, they risk running out of capital. Investors on HKEX may find themselves holding highly valued, low-margin tech assets that are sensitive to capital market corrections.

Macroeconomic Beta

HKEX's revenue remains deeply tied to global interest rate cycles and mainland economic growth. If global interest rates remain higher for longer, the relative appeal of equity risk premiums in emerging markets decreases. This keeps a lid on global fund inflows regardless of local policy support.


Strategic Allocation Playbook

For institutional allocators, navigating the HKEX recovery requires a two-pronged execution framework.

First, investors should build direct exposure to the exchange operator itself. HKEX operates as a natural monopoly with high operational leverage. When ADT recovers, the marginal cost of processing additional transaction volume is near zero, allowing revenue growth to flow directly to EBITDA margins.

Second, allocators should implement a barbell strategy within the Chinese AI value chain. On one side, secure positions in cash-generative upstream hardware providers—such as advanced thermal management, optical communications, and specialized PCB manufacturers—which enjoy immediate earnings visibility from infrastructure buildouts. On the other side, focus selective venture-scale allocations on dominant software and LLM platforms that have cleared the domestic regulatory hurdle and are positioned for a primary listing in Hong Kong.

This approach captures the structural upside of Beijing’s tech pivot while insulating the broader portfolio from individual model failure or near-term margin compression.

HS

Hannah Scott

Hannah Scott is passionate about using journalism as a tool for positive change, focusing on stories that matter to communities and society.