Woofun AI reports that dual market dynamics are currently defining global equity flows, with Hong Kong stocks experiencing policy-driven rebounds while US equities regain momentum through renewed AI trading activity. This divergence highlights a complex interplay between sovereign reserve allocation strategies in Asia and the persistent capital expenditure cycles of American technology giants. The core narrative is no longer a unified global rally but rather distinct regional drivers: regulatory support in Hong Kong versus hardware supply chain expansion in the United States.

The catalyst for the recent Hong Kong market movement emerged on July 7, when the People's Bank of China, the Hong Kong Monetary Authority, and the Hong Kong Securities and Futures Commission jointly announced 11 new measures. These initiatives are designed to deepen financial market cooperation between the mainland and Hong Kong, specifically targeting the improvement of fixed income and money markets. A primary objective is to solidify Hong Kong’s status as an offshore RMB hub. This coordinated announcement signals a structural shift in how mainland capital interacts with the Hong Kong financial ecosystem, moving beyond simple stock market support to broader infrastructure development.

Central to this policy framework is the statement by Pan Gongsheng, governor of the People's Bank of China, who declared that national foreign exchange reserves will continue to increase their proportion of asset allocation in Hong Kong. This commitment was first articulated by Pan Gongsheng at the 18th Asian Financial Forum in 2025. The market reaction was immediate and significant; following this initial signal, Hong Kong stocks experienced a second round of increases starting from September 24. Over the subsequent 45 trading days, the Hang Seng Index rose nearly 30%, demonstrating the potent impact of sovereign backing on market sentiment. This injection of reserve-backed liquidity serves as a critical floor for Hong Kong equities, countering broader global risk-off tendencies.

From a yield perspective, the rationale for increased reserve allocation is clear. Data from the State Administration of Foreign Exchange indicates that China's foreign exchange reserves have achieved a higher degree of diversification and dispersion compared to the global average. Historically, the average return on investment for these reserves from 2010 to 2019 reached 3.2%. In contrast, the Hang Seng High Dividend Yield Index currently offers a TTM dividend yield of 6.0%. This substantial yield differential provides a compelling financial argument for increasing exposure to Hong Kong assets, particularly in an environment where traditional safe-haven yields are compressed. The yield advantage is not merely theoretical but represents a tangible income stream for reserve managers.

However, the mechanics of the recent Hong Kong rally reveal underlying tensions. Over the past two weeks, the leading sectors have been those with the highest proportion of short positions in market capitalization. Healthcare led with 4.07%, followed by consumer discretionary at 3.03%, and technology at 2.83%. This pattern suggests that the initial surge was partly driven by short squeezes rather than purely organic fundamental improvements. While the overall proportion of short positions in Hong Kong stocks has decreased from its mid-June peak to 2.43%, it remains above three standard deviations from the historical average. This statistical anomaly indicates that despite the recent decline, short interest is still elevated, posing a risk of volatility if the squeeze dynamics unwind.

Woofun AI data shows that a more critical variable is the emergence of pair trading signals within the Hong Kong market. Since the overall rebound on June 29, the A/H premium index has expanded by 2.1%.

Notably, the premium rates for specific H-share stocks have narrowed significantly, including those of Lanqi Technology, Zhaoyi Innovation, and CATL. This narrowing suggests that arbitrage opportunities are being exploited, potentially dampening the upside for H-shares relative to their A-share counterparts.

Furthermore, recent appreciation in the RMB exchange rate over the past two trading days, coupled with continued outflows from southbound ETFs—which have cumulatively flowed out 125.6 billion yuan since March 5—highlights the impact of cross-border capital flows. These factors suggest that while policy support is strong, market forces are simultaneously creating headwinds through arbitrage and currency dynamics.

In the short term, investment focus in Hong Kong should remain on sectors with high fundamental certainty and specific event catalysts. Innovative drugs are recommended due to resilient performance, buyback support, and overseas business development. Aviation benefits from the peak travel season and falling oil prices. Robotics is poised for a catalyst driven by the expected mass production of Optimus. Finally, metals with strong industrial properties are favored due to high growth performance and easing interest rate expectations. These sectors offer a defensive posture against the lingering risks of short squeeze unwinding and pair trading pressures.

Across the Pacific, the momentum of AI-themed trading in US stocks significantly returned this week, led by the Philadelphia Semiconductor Index, which rose by 2.7%. A key indicator of this renewed enthusiasm was the performance of SK Hynix. On its first day of listing as a US ADR in early July, SK Hynix's stock price surged by 12.8%. The oversubscription and strong trading performance provided concrete evidence that the AI hardware supply chain remains a focal point for investor capital. This rally occurred despite earlier concerns in early July when Meta signaled the sale of some excess computing power, which had briefly raised fears of a slowdown in tech giants' capital expenditures and caused volatility in the semiconductor sector.

However, market sentiment reversed sharply as tech giants reaffirmed their commitment to infrastructure expansion. Meta announced a CAD 13 billion investment to build a new data center in Canada, sending a clear signal that its capital expenditure intentions are not decreasing but rather accelerating. Simultaneously, Amazon submitted documents to the SEC for a dollar bond issuance, initiating a process for bonds with eight maturities. The total scale of this bond issuance by Amazon is approximately USD 25 billion. These actions demonstrate that despite short-term market disagreements regarding the sustainability of AI spending, the actual behavior of leading companies remains aggressive. The narrative of an arms race in computing power is thus validated by balance sheet actions, serving as the fundamental basis for the continuation of momentum trading in the sector.

Valuation metrics further support the bullish case for US equities. As of July 10, the dynamic PE ratios of the S&P 500 and the Nasdaq 100 stood at 20.4x and 23.3x, respectively. Compared to the previous week, these valuations expanded by 0.9 and 2.4 percentage points. Despite this expansion, they remain at relatively low levels compared to the peak recorded on June 2. More importantly, earnings growth expectations are improving. The earnings growth rates for the Nasdaq 100 and the MAG8 have been revised up by 0.36 and 0.08 percentage points, respectively, compared to last week. This combination of reasonable valuation multiples and upward earnings revisions suggests that the market is pricing in continued growth rather than speculative excess.

Looking ahead, US stocks are expected to maintain a volatile upward trend. Investors are advised to focus on four key areas. First, the software industry may see further capital inflows as the AI narrative broadens from hardware to applications. Second, the military industry offers high demand certainty due to prolonged geopolitical risks. Third, energy infrastructure is poised to benefit from the dual drivers of data center construction and the broader electrification transformation. Finally, the financial sector, including banks and fintech, is supported by both capital returns and regulatory improvements. This diversified approach balances the high-growth potential of AI with the defensive stability of industrial and financial sectors.