- The report introduces a structured static factor model for predicting 10Y government bond yield movements, utilizing four macroeconomic factors: economic growth, inflation, debt leverage, and short-term interest rates[44][50][53] - The model has achieved a historical prediction accuracy of approximately 70% since 2006, with a sample-out accuracy of 68% since 2023[47][50] - For February 2026, the model forecasts a 6BP increase in the 10Y government bond yield to 1.88%, driven by upward trends in all four macroeconomic factors[50][53] - A structured static factor model is also applied to gold price movements, incorporating four key factors: US economy, US employment, US fiscal policy, and US external debt[54][57] - The gold model has demonstrated a historical prediction accuracy of 65% since 2008, with a sample-out accuracy of 78% since 2023[54][55] - The report highlights that fiscal and employment factors are currently supporting gold price increases, while economic and external debt factors show mixed signals[57][60] - A quantitative strategy for managing gold positions based on trading congestion is proposed, using two metrics: 40-day price deviation rate and SHFE gold implied volatility (IV)[19][21] - The strategy suggests reducing portfolio exposure to 40% when the 40-day price deviation rate exceeds 9% and SHFE gold IV surpasses 30%, achieving an excess return of 53.4% and improving the Sharpe ratio from 1.26 to 1.62 during backtesting from 2020 to February 2026[21][19] - The report recommends a multi-dimensional industry allocation strategy combining "win-rate and odds" and "clearance reversal" approaches, with industries such as non-ferrous metals, basic chemicals, and steel being highlighted[99][102][115]

Core Viewpoint - The technology innovation sector is experiencing a strong rebound, driven by strategic emerging industries such as artificial intelligence, smart manufacturing, and semiconductors, which are propelling index growth [1] Group 1: Market Performance - The ChiNext 50 ETF (159375) rose over 0.2%, reflecting the ongoing strength of the technology innovation theme [1] - The ChiNext 50 Index (399673) tracks the performance of the top 50 securities in the ChiNext market based on average daily trading volume, focusing on well-known, large-cap, and liquid companies [1] Group 2: Industry Drivers - Strategic emerging industries, particularly artificial intelligence, smart manufacturing, and semiconductors, are identified as the core drivers of index performance [1] - The "Artificial Intelligence +" initiative has been included in the 14th Five-Year Plan, indicating accelerated technological breakthroughs and industrial applications [1] Group 3: Investment Implications - The ChiNext 50 Index, representing new economy sectors, is expected to benefit from multiple drivers including technological innovation, industrial upgrades, and regulatory advantages [1] - The constituent stocks of the ChiNext 50 Index are primarily concentrated in high-growth sectors such as power equipment and new energy, pharmaceuticals, and computers, showcasing significant growth potential and good liquidity [1]

Investment Rating - The report does not explicitly state an investment rating for the industry [1] Core Insights - The report highlights that the deep learning factor tracking has shown a cumulative absolute return of 74.91% since its inception, with a relative excess return of 38.96% compared to the benchmark [10] - The sentiment factor tracking indicates that the top five industries with positive sentiment changes are petroleum and petrochemicals, non-ferrous metals, food and beverage, coal, and textiles and apparel [34] - The market valuation tracking shows that the rolling 5-year historical percentiles for major indices are at 91% for CSI 300, 100% for CSI 500, and 100% for CSI 1000, indicating high valuation levels [44] Summary by Sections Deep Learning Factor Tracking - A long-only portfolio was constructed based on the DecompGRU model, with a cumulative absolute return of 74.91% and a maximum drawdown of 10.08% since March 31, 2025 [10] - An ETF rotation portfolio was also created, achieving a cumulative absolute return of 40.08% since March 18, 2025, with a maximum drawdown of 7.82% [13] Sentiment Factor Tracking - The report tracks sentiment across broad indices, with the CSI 300 showing the highest increase in sentiment by 11.05% compared to the previous week [3] - The top five industries with positive sentiment changes include petroleum and petrochemicals, non-ferrous metals, food and beverage, coal, and textiles and apparel [34] Market Valuation Monitoring - The report indicates that several primary industries are currently above the 80% historical percentile for valuations, including electronics, power equipment, light industry manufacturing, and construction materials [46] - Conversely, industries like food and beverage and non-bank financials are below the 20% historical percentile, suggesting potential undervaluation [46] Event Tracking - The report details various corporate events, including stock incentive plans, significant shareholder buybacks, and analyst coverage updates, which may influence market sentiment and stock performance [48][56][57]

Group 1 - The core view of the report emphasizes the importance of "rebalancing" in the investment strategy for 2026, highlighting the dual focus on AI technology, overseas equipment, and global pricing resources as the main consensus among institutional investors [1][2] - The report indicates that the share of technology and overseas sectors in A-share profits (excluding finance) is approaching 40% by Q4 2025, suggesting a significant shift in the profit structure towards high-end technology and manufacturing, which is expected to reshape the A-share profit landscape and drive a new upward cycle in 2026-2027 [1][2] - The report outlines a transition from "new triumphing over old" in 2025 to "new and old dancing together" in 2026, where "new" refers to AI technology moving downstream and "old" refers to traditional industries stabilizing and growing through overseas business [2][3] Group 2 - The report highlights that global pricing resources, particularly gold, are experiencing a shift in asset allocation due to narratives of de-globalization and financialization, with a notable increase in trading sentiment driven by interest rate cuts and a weak dollar [2][3] - It is noted that the pricing of resource commodities is becoming increasingly differentiated, with financial attributes of resource pricing outperforming those based on commodity attributes [2][3] - The report stresses the need to be cautious of the assumption that the dollar will remain weak throughout 2026, as there may be a return to commodity attributes and a decline in financial attributes, making supply-demand fundamentals more critical for resource price increases [3] Group 3 - Observations from Q4 2025 indicate a significant increase in institutional holdings in sectors such as non-ferrous metals, communications, basic chemicals, non-bank financials, and machinery, while reductions were noted in pharmaceuticals, computing, electronics, media, and power equipment [9][10] - The report identifies a divergence in institutional investment in the AI industry chain, with a decrease in holdings in sectors with weaker earnings visibility, while sectors with strong earnings visibility, such as optical modules, saw increases [10][11] - The report also notes that institutional investors are increasingly favoring resource commodities that benefit from price increases, particularly in the non-ferrous and chemical sectors, indicating a strategic shift towards these areas [10][11]

Group 1: A-Share Market Analysis - The A-share market showed a volatile trend this week, with an average daily trading volume of 3.06 trillion, a week-on-week increase of 9.44%[6] - Major indices like the Shanghai 50 and CSI A100 recorded positive returns, while the Shanghai Composite and Shenzhen Component indices experienced declines[6] - Value and large-cap growth sectors performed relatively well, whereas small-cap indices such as CSI 1000 and CSI 2000 saw significant drops[6] - Cyclical sectors like oil, telecommunications, coal, and non-ferrous metals outperformed, while growth sectors including computers and new energy faced larger declines[6] Group 2: Market Insights and Expectations - The A-share market displayed structural characteristics and volatility, with gold stocks experiencing a collective pullback due to fluctuations in international gold prices[6] - AI and technology growth stocks continued to attract capital, as evidenced by the strong performance of the Sci-Tech 50 index, indicating a favorable investment logic in growth sectors[6] - Short-term market conditions are expected to remain structurally volatile, with potential pullback pressures on previously strong cyclical sectors lacking sustained catalysts[7] - The upcoming period post-Spring Festival until the Two Sessions is anticipated to be a more certain upward phase for the market, suggesting strategic positioning opportunities[7] Group 3: Hong Kong Market Analysis - The Hong Kong market performed strongly this week, with the Hang Seng Index rising by 2.38% and the Hang Seng China Enterprises Index increasing by 1.71%[8] - The Hang Seng Technology Index saw a slight decline of 1.38%, indicating volatility within the tech sector[8] - Leading sectors included energy (7.44%), real estate and construction (5.71%), and finance (5.3%), while information technology and healthcare experienced minor declines[8] Group 4: Future Outlook and Risks - The Hong Kong market is expected to continue its structural upward trend, supported by Fed rate cut expectations and improving sentiment in the A-share market[9] - Sustained demand for AI is likely to benefit the tech sector in Hong Kong, although investors should remain cautious of external policy uncertainties[9] - A prudent asset allocation strategy is recommended, focusing on high-dividend assets and sectors with both profitability improvement and growth potential[9] - Risks include unexpected tightening of global liquidity and complexities in market dynamics and policy changes[10]

A-Share Market - The A-share market exhibited a volatile trend this week, with an average daily trading volume of 3.06 trillion, reflecting a week-on-week increase of 9.44% [6] - Major indices showed mixed performance, with large-cap indices like the Shanghai 50 and CSI A100 recording positive returns, while the Shanghai Composite and Shenzhen Component indices experienced declines [6] - Sector performance was diverse, with cyclical and value sectors such as oil, petrochemicals, telecommunications, coal, and non-ferrous metals performing well, while growth sectors like computers, power equipment, new energy, and automobiles faced significant declines [6] - The market displayed structural characteristics and volatility, with precious metals and resource cyclical sectors initially strong but later retreating due to fluctuations in international gold prices, indicating rapid shifts in market sentiment and short-term speculative influences [6][7] - AI and technology growth stocks continued to attract capital, as evidenced by the strong performance of the Sci-Tech 50 index, supporting the investment logic in growth directions [6] Outlook for A-Share Market - The short-term outlook suggests a continuation of structural trends, but increased volatility is anticipated. Cyclical sectors that were previously strong may face correction pressures if lacking sustained catalysts [7] - With the Spring Festival approaching, the period after the festival until the Two Sessions may present a more certain upward trend, suggesting opportunities for strategic positioning post-festival [7] Hong Kong Market - The Hong Kong market showed strong overall performance this week, with major indices rising, including a 2.38% increase in the Hang Seng Index and a 1.71% rise in the Hang Seng China Enterprises Index [8] - The Hang Seng Technology Index experienced a slight decline of 1.38%, indicating volatility within the technology sector [8] - Leading sectors included energy (7.44%), real estate and construction (5.71%), and finance (5.3%), while information technology and healthcare sectors saw slight declines [8] - The market exhibited complex and differentiated characteristics, with a rebound in property stocks due to rising policy expectations, while gold and non-ferrous metal stocks experienced significant fluctuations influenced by international gold price volatility [8] - Despite a slight decline in the Hang Seng Technology Index, certain AI concept stocks like Baidu and Alibaba remained active due to advancements in AI chips, highlighting the sustained appeal of AI as a long-term driver [8] Outlook for Hong Kong Market - The outlook for the Hong Kong market suggests a potential continuation of structural upward trends, supported by expectations of interest rate cuts from the Federal Reserve and a recovery in A-share sentiment [9] - Continued improvement in AI demand is expected to benefit the technology sector in Hong Kong, although investors should remain cautious of external policy uncertainties and consider a prudent allocation strategy, focusing on high-dividend assets and sectors with both profitability improvement and growth potential [9]

Group 1 - The core economic characteristic throughout the year is "production stronger than demand, external demand better than internal demand" with a loose monetary policy maintaining a low interbank interest rate, the lowest since 2020 [1] - Under the macroeconomic weakness and loose liquidity environment, investment in prosperity is favored, suggesting a focus on "technology + resource products" as dual main lines [1] Group 2 - The Guotai ETF (159375) tracks the ChiNext 50 Index (399673), which has a daily price fluctuation limit of 20%, selecting 50 securities with high average daily trading volume from the ChiNext market to reflect the overall performance of well-known, large-cap, and liquid enterprises [1] - The constituent stocks are primarily concentrated in emerging industries such as power equipment and new energy, pharmaceuticals, and computers, exhibiting characteristics of high growth and high liquidity [1]

- The report does not contain any specific quantitative models or factors for analysis[1][2][3]

1. Report Industry Investment Rating - Not provided in the content 2. Core Viewpoints of the Report - Overall, the positions of public funds decreased, and the concentration remained stable. The positions of public funds decreased slightly, the concentration of heavy - holding stocks was relatively stable, and the profit - making effect of heavy - weight stocks was average. The allocation of the GEM increased, the allocation of the main board decreased, and the allocation of the STAR Market was stable. The allocation of Hong Kong stocks fell back to around 16% [4]. - In terms of scale, the scale and share of public funds contracted again. In the fourth quarter, the management scale and share of funds both declined, with the share contraction reaching around 10%. All funds of different scales switched from mandatory consumption and TMT to cyclical industries [4]. - At the industry level, TMT was overall under - allocated, with the under - allocation ratios of electronics, computer, and media exceeding 1%. The allocation of the communication industry continued to increase, but the number of shares held in leading targets was reduced. The cyclical industry as a whole rose rapidly, with obvious over - allocation in non - ferrous metals and chemicals, and the positions of public funds began to re - balance. The allocation ratios of non - banking and machinery also increased significantly [5]. 3. Summary According to the Directory 3.1 Position Decrease and Stable Concentration - In the fourth quarter of 2025, funds reduced their positions in the main board and the STAR Market and increased their positions in the GEM. Compared with the third quarter of 2025, the heavy - position allocation ratio of the main board decreased by 1.41 percentage points to 65.40%, and the GEM increased by 1.71 percentage points to 20.85% [18]. - The proportion of Hong Kong stock positions decreased. The overall stock market value ratio of four types of active stock - type funds decreased slightly. The proportion of stocks in the total fund asset value decreased to 84.22% month - on - month, the proportion of bonds increased to 4.17% month - on - month, and the cash ratio increased [24]. - The concentration of fund positions was relatively stable, and the profit - making effect of heavy - holding individual stocks was average. The average return of the top ten heavy - holding stocks in the third quarter in the fourth quarter of 2025 reached 2.0%, slightly outperforming the - 1.1% of the common stock - type fund index. The top 50 shareholding concentration of funds in the fourth quarter of 2025 reached 43.7% [25][27]. - The allocation of leading companies increased slightly. In the fourth quarter of 2025, the proportion of positions held by funds in first - tier/second - and third - tier leading companies increased by 1.34 and 0.66 percentage points respectively compared with the third quarter of 2025, reaching 26.96% and 15.86%. Overall, the concentration of leading companies increased, and the allocation of both first - tier and second - and third - tier leading companies rebounded. In terms of industries, funds mainly increased their positions in leading companies in the communication, non - banking, and non - ferrous industries in the fourth quarter, and mainly reduced their positions in leading companies in the power - new, pharmaceutical, and electronics industries [30]. 3.2 Contraction of Public Fund Scale and Share - The overall management scale and share of public funds contracted synchronously. The scale of funds of all sizes was declining, and the share of funds of all sizes was also contracting. The direction of position adjustment of large and small public funds was relatively consistent, and all funds of different sizes switched from mandatory consumption and TMT to raw materials, with large differences in optional consumption and manufacturing [71][76][84]. 3.3 Reduction in Manufacturing, Consumption, and Technology, and Increase in Cyclical Industries - In the fourth quarter, funds significantly increased their positions in raw materials and finance and reduced their positions in information technology and medicine. The allocation of the raw material sector increased by 3.6%, the allocation of the financial sector increased by 1.1%, the allocation of the information technology sector decreased by - 3.0%, and the allocation of the pharmaceutical sector decreased by - 1.6% [34]. - In terms of the heavy - position allocation ratio, the heavy - position allocation ratios of non - ferrous metals, communication, chemicals, and non - banking increased the most in the fourth quarter. In contrast, the ratios of computer, medicine, electronics, and media decreased the most. In terms of the over - allocation ratio, the over - allocation ratios of electronics, communication, non - ferrous metals, and power - new were the highest in the fourth quarter. Banks, non - banking, public utilities, and computers were significantly under - allocated [35]. - At the secondary industry level, the heavy - position allocation ratios of communication equipment, industrial metals, insurance, and rare metals increased significantly in the fourth quarter. The heavy - position allocation ratios of computer equipment, new - energy power systems, chemical pharmaceuticals, cultural entertainment, and semiconductors decreased significantly [57][61]. 3.4 Sector - by - Sector Configuration Details - **Metal Sector**: The upstream heavy - position allocation ratio of the metal sector increased overall. The allocation ratio of coal increased by 0.04 percentage points to 0.32% in the fourth quarter, the allocation ratio of petroleum and petrochemicals increased by 0.22 percentage points to 0.67%, the allocation ratio of non - ferrous metals increased by 2.11 percentage points to 8.13%, and the allocation ratio of steel increased by 0.15 percentage points to 0.53% [93][97]. - **Power - New Sector**: The heavy - position allocation ratio of the power - new sector decreased. The allocation ratio of the power equipment and new - energy sector decreased by 0.88 percentage points to 9.29% in the fourth quarter [122]. - **National Defense and Military Industry Sector**: The heavy - position allocation ratio of the national defense and military industry sector decreased. The allocation ratio of the national defense and military industry decreased by 0.37 percentage points to 2.14% in the fourth quarter [122]. - **Machinery and Equipment Sector**: The heavy - position allocation ratio of the machinery and equipment sector increased. The allocation ratio of machinery increased by 0.51 percentage points to 6.25% in the fourth quarter [126]. - **Food and Beverage Sector**: The heavy - position allocation ratio of the food and beverage sector decreased. The allocation ratio of the food and beverage sector decreased by 0.45 percentage points to 4.37% in the fourth quarter [160]. - **Home Appliance Sector**: The heavy - position allocation ratio of the home appliance sector increased. The allocation ratio of home appliances increased by 0.08 percentage points to 2.4% in the fourth quarter [160]. - **Medical and Healthcare Sector**: The heavy - position allocation ratio of the medical and healthcare sector decreased. The allocation ratio of medicine decreased by 1.63 percentage points to 8.12% in the fourth quarter [164]. - **Automobile Sector**: The heavy - position allocation ratio of the automobile sector decreased. The allocation ratio of the automobile sector decreased by 0.12 percentage points to 4.27% in the fourth quarter [164]. - **Finance + Real Estate Sector**: The overall allocation ratio of finance increased. The allocation ratio of banks increased by 0.04 percentage points to 1.88% in the fourth quarter, the allocation ratio of real estate decreased by 0.31 percentage points to 0.27%, the allocation ratio of non - banking financial increased by 1.03 percentage points to 2.52%, and the allocation ratio of comprehensive finance decreased by 0 percentage points to 0% [169][173]. - **TMT Sector**: The overall allocation ratio of TMT decreased significantly, and only the allocation ratio of communication increased. The allocation ratio of electronics decreased by 1.27 percentage points to 22.8% in the fourth quarter, the allocation ratio of computer decreased by 1.71 percentage points to 2.75%, the allocation ratio of communication increased by 1.86 percentage points to 11.06%, and the allocation ratio of media decreased by 1.14 percentage points to 1.35% [196][199]. - **Hong Kong Stock Sector**: The allocation ratio of Hong Kong stocks decreased. The allocation ratio of Hong Kong stocks fell back to around 16% [4].

- The report discusses a **quantitative timing model based on volume signals**, which indicates a "bullish" view for all major indices except the ChiNext Index as of January 23, 2026[30][31][33] - A **momentum sentiment indicator** is introduced, calculated as the proportion of stocks in the CSI 300 Index with positive returns over the past N days. The indicator is smoothed using two moving averages (N1=50, N2=35). When the short-term average exceeds the long-term average, it signals a bullish market sentiment[32][34][36] - The **moving average sentiment indicator** is based on the eight moving averages (8, 13, 21, 34, 55, 89, 144, 233). The indicator assigns values of -1, 0, or 1 based on the position of the current price relative to these moving averages. A value greater than 5 indicates a bullish signal for the CSI 300 Index[40][44] - The **cross-sectional volatility factor** is analyzed, showing that the CSI 300 Index's cross-sectional volatility increased week-over-week, indicating an improved short-term alpha environment. Conversely, the cross-sectional volatility for the CSI 500 and CSI 1000 indices decreased, suggesting a deteriorated alpha environment[45][46] - The **time-series volatility factor** is also evaluated, revealing that the time-series volatility for the CSI 300, CSI 500, and CSI 1000 indices decreased week-over-week, indicating a worsening alpha environment. Over the past quarter, the CSI 300 Index's volatility was in the lower range of the past six months, while the CSI 500 and CSI 1000 indices were in the middle range[46][49]