Following a six-month deep adjustment and a 15.70% decline in the first quarter, many investors are still anticipating a rebound for the Hang Seng Tech Index. On April 2, the index closed at 4,679 points, down 1.69% for the day. Year-to-date, it has fallen over 15%, marking a 30% decline from its peak on October 2, 2025.
Beneath the surface, capital flows are shifting. ETFs tracking the Hang Seng Tech Index have seen cumulative net inflows exceeding 50 billion yuan this year, making it the index with the highest net inflows in the ETF market. From a valuation perspective, the index's trailing twelve-month price-to-earnings ratio stands at under 22 times, lower than its level for over 75% of the past decade.
There are also developments at the index compilation level. Hang Seng Indexes Company recently announced optimization measures, which will involve adding detailed sub-themes under various technology categories to enhance disclosure standards and transparency. These adjustments are set to take effect on June 8.
Market focus on the Hang Seng Tech Index centers on two core questions: whether the artificial intelligence narrative can genuinely translate into profit growth, and whether the current low valuations already fully reflect pessimistic expectations.
Looking ahead, AI is expected to remain a catalyst over the next 6-9 months, with the release of domestic chip production capacity in 2026 poised to improve supply-side conditions. It is believed that AI applications will see broader implementation across more scenarios in 2026, suggesting significant potential for valuation recovery in Hong Kong stocks.
A more macro perspective highlights structural pressures. A rally would require certain catalysts, such as an easing of external tensions, a resurgence in expectations for Federal Reserve rate cuts, or industrial catalysts like major internet firms regaining market trust in their AI narratives.
Short-term risks are noted, including concerns over global stagflation triggered by conflicts involving the US, Israel, and Iran, alongside cooling expectations for Fed rate cuts. Historical analysis suggests markets typically need one to two months to digest the negative impacts of such geopolitical shocks, indicating that short-term investment in the Hang Seng Tech Index requires careful risk management.
The index's underperformance is attributed to a combination of factors, including the transition between old and new AI narratives, tightening US dollar liquidity, and increased profitability concerns due to subsidies in the food delivery sector around the Lunar New Year period. Data shows the index has fallen 30% from its October 2025 high and is down 15% year-to-date.
Unlike most broad-market indices, the Hang Seng Tech Index is highly concentrated, comprising only 30 constituents spanning sectors like internet platforms, consumer goods, semiconductors, and AI large language models. The top ten holdings, including BYD Company, Meituan, Xiaomi Corporation, Tencent Holdings, NetEase, Alibaba Group, SMIC, JD.com, Kuaishou, and Baidu, account for nearly 70% of the index weight.
The prolonged weakness reflects three key factors: ongoing downward revisions to earnings in heavyweight sectors, intensified competition in the internet space, and a dual deterioration in the competitive landscape and costs for new energy vehicles; negative impacts on liquidity from a rebounding US dollar and the siphon effect of Hong Kong IPO activities; and a rapid decline in risk appetite due to geopolitical conflicts.
Deeper analysis points to underlying logic: credit cycles determine index upside potential, with China's credit cycle expected to oscillate in 2026, inherently constraining broad index gains; industrial structure dictates the direction of prosperity, and the hard tech theme previously traded on the market is notably absent in Hong Kong stocks, with index giants, especially internet behemoths, lagging due to factors like past food delivery wars or slow AI progress; capital flows amplify volatility, with disturbances from the Iran situation, soaring oil prices, high US bond yields, substantial IPO financing needs, and slowing southbound capital inflows all contributing to a tighter liquidity balance.
Behind the shift in AI narratives, temporary bottlenecks in chip supply have heightened market concerns about the AI implementation capabilities of index constituents. It is viewed that 2025 represents a "timing gap" between export restrictions on chips and the yet-to-catch-up domestic production capacity, but starting in 2026, the expansion of domestic chip production will significantly improve this situation.
Recently, heavily weighted stocks in the Hang Seng Tech Index entered a密集 earnings reporting period, revealing significant performance divergence. Tencent Holdings reported a 13% year-on-year increase in Q4 revenue, with adjusted net profit up 17%, benefiting from AI-enhanced ad targeting and scalable profitability in cloud services. Alibaba Group saw a 66% year-on-year decline in Q4 net profit, but its Cloud Intelligence Group revenue grew strongly by 36%, with AI-related product revenue achieving triple-digit year-on-year growth for the tenth consecutive quarter. Meituan reported an annual loss of 23.4 billion yuan for 2025, compared to a profit of 35.8 billion yuan in 2024, due to increased spending on competitive investments, rider subsidies, and AI R&D. While Kuaishou maintained double-digit growth, expectations of a slowdown in its core business revenue growth from 12% in 2025 to 3% in 2026 and 2027 have weighed on sector sentiment.
Despite the index's decline, capital has been flowing in on dips. Data shows that as of April 2, the Hang Seng Tech Index was the top recipient of ETF net inflows this year, reaching 51.2 billion yuan, even surpassing inflows into gold.
Valuation-wise, the index's P/E ratio is 21.98 times, sitting at the 24th percentile of its historical range over the past decade. It trades at an approximate 33% discount to the Nasdaq 100 Index and a 45% discount to the ChiNext Index, positioning it favorably for value among global tech sectors.
On the regulatory front, index optimizations are enhancing the tech purity of the Hang Seng Tech Index. Previously criticized for being broad and miscellaneous, the index provider's recent announcement detailed plans to decompose six major tech themes into dozens of specific sub-themes covering cutting-edge areas like cloud computing, semiconductors, AI, and autonomous driving.
Analysis suggests the index calculation methodology remains unchanged, but disclosure transparency is improved: criteria for inclusion are now clearer. This optimization makes index rules more transparent, enhances the verifiability of constituent screening, requires existing constituents to continually demonstrate "tech purity," provides a clear list for potential new entrants, and strengthens the index's representativeness as a tech beta tool.
Some institutions predict the next index review might include hot AI companies like MINIMAX-W and Zhipu AI, raising concerns about potential "passive buying" at high valuations. It is clarified that as a passive index, constituent inclusion is based on pre-set screening criteria, not valuation levels. While this mechanism might lead to个别 companies being included during high-valuation phases, this is common to all broad-market or thematic indices and reflects the index's tracking of market structure changes rather than active judgment on short-term pricing. This is better understood as the index tracking and reflecting industrial trends at different stages.
Regarding valuation methods, despite short-term profit pressures for some companies, certain institutions have begun applying differentiated methods to value AI-related businesses. Using a sum-of-the-parts valuation for Alibaba's cloud, chip, and model businesses, an estimated valuation midpoint of $245 per share is suggested.
Some argue that the core businesses of index constituents are highly reliant on the domestic market, often involving consumer-oriented sectors like local services, e-commerce, and social media, making valuation based on high-growth logic typical of global tech stocks inappropriate. From an index positioning perspective, the Hang Seng Tech Index is better understood as a digital economy asset with platform-based tech companies at its core, combined with consumer scenarios. Its growth logic stems from both technological advancement and the continuous expansion of application scenarios. For investment purposes, simply applying a single valuation framework used for either global tech stocks or domestic consumer stocks may be limiting. A more reasonable approach involves comprehensively assessing long-term growth potential and commercialization capabilities from a platform economy plus technology enablement perspective.
Regarding the outlook for the Hong Kong tech index, several institutional figures expressed relatively positive views. At current levels, the index's bottom valuation is considered attractive, pricing in significant pessimism. barring extreme disruptions, some capital is beginning to consider early positioning. While a "good trade" still requires fundamental support, the sufficiently attractive valuation makes it gradually "not a bad trade," offering value. A rebound would need catalysts like eased external tensions, revived Fed rate cut expectations, or major internet firms regaining trust in their AI stories.
The continuation of China's economic recovery theme, supported by policies and the release of domestic demand potential, is seen as underpinning Hong Kong stocks. With valuations at historical lows, significant room for valuation repair is anticipated as fundamentals improve.
The current adjustment in Hong Kong stocks is viewed as earlier and deeper, with pessimistic pricing largely reflected. On the earnings front, aside from ongoing downside risks for some tech hardware firms, cash-flow-strong pro-cyclical companies exhibit resilient profitability. Valuation-wise, Hong Kong equity assets are at significantly low levels globally. Regarding risk premium, long-term confidence is placed in the certainty premium brought by the stability of RMB assets and看好 net inflows into Hong Kong stocks under global capital reallocation.
Analysis suggests the Hang Seng Tech Index currently exhibits four bottom-featuring characteristics: oversold valuation洼地, contrarian capital inflows, improving AI fundamentals, and impending share buybacks. Short-term sentiment disturbances are considered fully released, presenting a golden window for medium-to-long-term strategic allocation.
AI industry trends are bringing structural opportunities. Maintained a positive outlook on China's internet sector, noting that current sector valuations are more attractive than at the start of the year, with core drivers like AI industry development expected to remain catalytic over the next 6 to 9 months.
The landing of AI applications is highlighted as the most promising direction for 2026. Despite volatility in AI application investments during 2025, the trend of fundamental improvement is deemed certain. Demonstrations of Chinese AI capability bolster confidence, with expectations for AI applications to land in more scenarios during 2026. Focus areas include the transformation of AI capabilities at major internet firms, growth in public cloud businesses, and the application of AI Agents across various industries. In the smart driving sector, the long-term trend towards making the technology accessible is believed unchanged. As technology matures, costs decline, and regulatory policies become clearer, smart driving is expected to transition from supply-driven to demand-pulled.
It is also noted that consumer internet companies, after experiencing competitive pressures, have valuations reflecting considerable pessimism. As domestic demand recovers and the competitive landscape stabilizes, opportunities for value reassessment of some undervalued quality标的 are anticipated.
On the risk side, conflicts involving the US, Israel, and Iran raising global stagflation concerns and cooling Fed rate cut expectations are highlighted. Markets typically need one to two months to digest the negative impacts of such shocks, warranting careful risk management for short-term investments.
A trend reversal might require further waiting, with a rebound needing lower positioning and positive stimuli. Key catalysts include peak expectations for intense internal competition, recovery in consumer expectations, and positive progress in the application of major firms' AI models.
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