Domestic Market Overview - The domestic market saw a significant increase in both volume and price, reaching new highs. The Shanghai Composite Index closed at 4120.43 points, up 0.92%, while the Shenzhen Component Index closed at 14120.15 points, up 1.15%. The STAR 50 index rose by 1.43%, and the ChiNext Index increased by 0.77%. The total trading volume of the A-share market was 31,524 billion yuan, showing an increase compared to the previous day [1][4][8]. - Among the 30 first-level industries of CITIC, 28 experienced gains, with media, defense, and computer sectors leading the increase. Only the banking and non-banking financial sectors saw a slight decline [1][4][8]. Overseas Market Overview - All three major U.S. stock indices closed higher, with the Dow Jones up 0.48%, the S&P 500 up 0.65%, and the Nasdaq up 0.81%. Notably, Intel's stock surged over 10% [2][4]. - The U.S. technology index rose by 0.48%, with Tesla increasing by over 2% and Facebook by over 1%. However, many Chinese concept stocks fell, with Atour down over 5% and Huya down over 4% [2][4]. News Highlights - The State Council of China has implemented a package policy to promote domestic demand through fiscal and financial collaboration, aiming to enhance consumer spending and support private investment [10][11]. - China has submitted applications for over 200,000 new satellites, intensifying global competition for space resources. SpaceX has also received authorization to deploy an additional 7,500 Starlink satellites [12][13]. - Recent regulations have been introduced regarding the use of QDII quotas, encouraging more allocation towards public funds to better meet the diverse asset allocation needs of investors [13][14].

Group 1 - The Central Economic Work Conference has outlined eight key tasks for economic work in 2026, emphasizing the importance of "innovation-driven development" and the role of technology in industry upgrades and high-quality development [1] - Non-bank financial institutions are encouraged to align with the conference's directives, focusing on serving the real economy and leveraging technological innovation as a driving force for breakthroughs in quality and efficiency [1] Group 2 - The conference has reiterated the commitment to "dual carbon" goals, promoting a comprehensive green transformation, which is a significant focus for trust companies and financial leasing institutions [2] - The emphasis on "innovative technology financial services" marks a new phase in the development of technology finance, integrating core elements like "technology" and "green" with the real economy [2] - Examples of practical applications include the use of big data and AI by companies like Industrial Bank Leasing to enhance risk management in green leasing [2] Group 3 - The carbon trading market is expected to enter a new stage of high-quality development, with the conference calling for strengthened national carbon emission trading market construction [4] - Trust companies are encouraged to explore carbon trusts centered around carbon quotas, leveraging the opportunity presented by the national carbon market to promote green trust development [4] - Accurate management of carbon data is highlighted as a critical area where AI can play a significant role in carbon trading infrastructure [4] Group 4 - Companies like Northern Trust are focusing on integrating AI into green finance, enhancing project selection, pricing, risk control, and post-investment monitoring through data-driven approaches [5] - The goal is to embed green concepts into public life and foster a culture of low-carbon development [5] Group 5 - Financial leasing companies are leveraging their unique "financing + leasing" attributes, supported by technology, to play an irreplaceable role in promoting green development [6] - Companies are implementing digital transformation strategies to enhance risk control and operational efficiency in green leasing [6] - The focus is on converting transformation outcomes into precise support for industrial upgrades [6] Group 6 - Financial leasing companies are urged to optimize their business structures, concentrating on high-end manufacturing, green energy, urban renewal, and retail sectors to align with modern industrial system construction [7]

- The report discusses a volume-timing model that has issued buy signals for major broad-based indices, indicating a positive market sentiment[1][2][22] - The volume-timing model is constructed by analyzing the volume indicators of major broad-based indices and their ETFs, which have shown an increase in trading volume, suggesting a bullish market outlook[1][2][22] - The specific construction process of the volume-timing model involves tracking the trading volume of major indices and ETFs, and when the volume increases significantly, the model issues a buy signal[1][2][22] - The evaluation of the volume-timing model indicates that it is effective in capturing market sentiment and providing timely buy signals[1][2][22] - The report also introduces a sentiment indicator based on the proportion of rising stocks within the CSI 300 index, which helps gauge market sentiment by tracking the number of stocks with positive returns over a specified period[23][24] - The construction process of this sentiment indicator involves calculating the proportion of CSI 300 index constituent stocks with positive returns over a given period, and using this proportion to assess market sentiment[23][24] - The evaluation of this sentiment indicator suggests that it is useful for quickly capturing market upturns, although it may miss out on gains during prolonged bullish phases and has limitations in predicting market downturns[23][24] - Another sentiment indicator discussed in the report is the moving average sentiment indicator, which uses the eight moving averages of the CSI 300 index to determine market trends[30][31] - The construction process of the moving average sentiment indicator involves calculating the eight moving averages (8, 13, 21, 34, 55, 89, 144, 233) of the CSI 300 index closing prices, and assigning values based on the number of moving averages the current price exceeds[30][31] - The evaluation of the moving average sentiment indicator indicates that it provides a clearer understanding of the market trends and is effective in identifying bullish phases[30][31] - The report includes backtesting results for the volume-timing model, showing that the model has consistently issued buy signals for major indices such as the Shanghai Composite Index, SSE 50, CSI 300, CSI 500, CSI 1000, and the ChiNext Index[23] - The sentiment indicator based on the proportion of rising stocks within the CSI 300 index has shown that the proportion of rising stocks is around 74%, indicating a positive market sentiment[24] - The moving average sentiment indicator shows that the CSI 300 index is currently in a bullish phase, as the short-term moving average is above the long-term moving average[30][31]

Quantitative Models and Construction Methods 1. Model Name: Hong Kong Stock Selection Portfolio - **Model Construction Idea**: The model aims to select stocks with both fundamental support and technical resonance from an analyst-recommended stock pool[14][15] - **Model Construction Process**: - **Step 1**: Construct an analyst-recommended stock pool based on three types of analyst recommendation events: upward earnings forecast revisions, initial analyst coverage, and analyst report titles exceeding expectations[15] - **Step 2**: Perform dual-layer selection on the analyst-recommended stock pool using fundamental and technical dimensions to select stocks with both fundamental support and technical resonance[15] - **Step 3**: The backtest period for the Hong Kong Stock Selection Portfolio is from January 1, 2010, to December 31, 2025. Considering transaction costs in a fully invested state, the portfolio's annualized return is 19.08%, with an excess return of 18.06% relative to the Hang Seng Index[15] - **Model Evaluation**: The model demonstrates a strong performance with significant excess returns over the Hang Seng Index, indicating its effectiveness in stock selection[15] Model Backtest Results - **Hong Kong Stock Selection Portfolio**: - **Annualized Return**: 19.08%[15] - **Excess Return**: 18.06% relative to the Hang Seng Index[15] - **Information Ratio (IR)**: 1.19[20] - **Tracking Error**: 14.60%[20] - **Maximum Drawdown**: 23.73%[20] - **Return-to-Drawdown Ratio**: 0.76[20] Quantitative Factors and Construction Methods 1. Factor Name: Stable New High Stocks - **Factor Construction Idea**: The factor aims to identify stocks that have recently reached new highs and exhibit stable price paths, leveraging the momentum and trend-following strategies that are particularly effective in the Hong Kong market[21] - **Factor Construction Process**: - **Step 1**: Calculate the 250-day new high distance using the formula: $$ 250 \text{ day new high distance} = 1 - \frac{Close_t}{\text{ts\_max(Close, 250)}} $$ where $Close_t$ is the latest closing price, and $\text{ts\_max(Close, 250)}$ is the maximum closing price over the past 250 trading days[23] - **Step 2**: Screen stocks that have reached a 250-day new high in the past 20 trading days based on analyst attention, relative stock strength, price path stability, and new high continuity[23] - **Step 3**: Select stocks with the following criteria: - Analyst attention: At least 5 buy or hold ratings in the past 6 months - Relative stock strength: Top 20% in terms of price change over the past 250 days - Price path stability: Top 50% based on price displacement ratio and 250-day new high distance over the past 120 days - Trend continuity: Top 50 stocks based on the 250-day new high distance over the past 5 days[24] - **Factor Evaluation**: The factor effectively captures stocks with strong momentum and stable price paths, which are likely to continue their upward trends[21][23] Factor Backtest Results - **Stable New High Stocks**: - **Example Stocks**: J&T Express-W, China Eastern Airlines, Youran Dairy, Hansoh Pharmaceutical, China XLX Fertilizer, etc.[23][29] - **Sector Distribution**: Most new high stocks are in the cyclical sector, followed by finance, technology, consumer, manufacturing, and healthcare sectors[23][29]

Group 1: Style Rotation Model - The style rotation model for Q1 2026 indicates a preference for small-cap and growth stocks [1][2] - In Q4 2025, the returns for CSI 300 and CSI 1000 were -0.23% and 0.27% respectively, with small-cap stocks outperforming large-cap stocks by 0.50% [1] - The value-growth rotation model achieved a return of 37.06% for the entire year of 2025, with an excess return of 7.01% compared to an equal-weighted portfolio [1] Group 2: Industry Rotation Model - In January, the recommended long positions for single-factor and composite-factor strategies include non-bank financials, coal, and steel [1][3] - The absolute return for the industry composite factor strategy in 2025 was 38.10%, with an excess return of 11.70% relative to the benchmark [1] - The absolute return for the industry single-factor multi-strategy was 36.00%, with an excess return of 10.37% compared to the benchmark [1] Group 3: January Industry Insights - The single-factor multi-strategy recommends long positions in banking, non-bank financials, coal, and steel [3] - The composite-factor strategy recommends long positions in coal, steel, non-bank financials, non-ferrous metals, and transportation [3] - In December, the composite factor strategy achieved an excess return of 1.18%, while the single-factor multi-strategy achieved an excess return of 0.81% [3]

Core Viewpoint - The Hang Seng Index Company announced the launch of three new indices aimed at providing diversified investment strategies and trading tools in the Hong Kong market [1] Group 1: New Indices - The Hang Seng Dual Technology Index reflects the overall performance of technology and biotechnology companies listed in Hong Kong, combining components from the Hang Seng Technology Index and the Hang Seng Biotechnology Index [1] - The Hang Seng Hong Kong Stock Connect Internet Technology Index tracks the performance of Hong Kong-listed companies primarily engaged in internet or information technology businesses that can be traded via the Stock Connect [1] - The Hang Seng Hong Kong Stock Connect Non-Bank Financial Index reflects the performance of Hong Kong-listed companies in the financial sector, excluding banks, that can be traded via the Stock Connect [1]

Core Insights - The report highlights the current industry allocation of the Bank of China’s multi-strategy system, with significant positions in basic chemicals (13.7%), non-bank financials (13.7%), and coal (9.1%) among others [1] - The average weekly return for the CITIC primary industries is reported at 3.3%, with the best-performing sectors being defense and military (13.1%), media (9.6%), and non-ferrous metals (6.7%) [3][10] - The report indicates a composite strategy return of 2.9% for the week, underperforming the CITIC primary industry equal-weight benchmark by 0.4% [3] Industry Performance Review - The best-performing sectors for the week include defense and military (13.1%), media (9.6%), and non-ferrous metals (6.7%), while the worst performers are banking (-1.3%), oil and petrochemicals (-0.7%), and agriculture, forestry, animal husbandry, and fishery (-0.5%) [10][11] - The average monthly return for the CITIC primary industries stands at 6.7% [10] Valuation Risk Warning - The report employs a valuation warning system based on the PB ratio over the past six years, identifying sectors with a PB ratio above the 95th percentile as overvalued. Currently, sectors such as retail, computers, non-ferrous metals, defense and military, oil and petrochemicals, electronics, media, and machinery are flagged for high valuation risk [12][13] Single Strategy Rankings and Recent Performance - The top three industries based on the high prosperity industry rotation strategy (S1) are non-bank financials, coal, and basic chemicals [14][15] - The report outlines the performance of various strategies, with the highest excess return from the implied sentiment momentum strategy (S2) at 0.9% [3] Macro Style Rotation Strategy - The macro style rotation strategy identifies the top six industries based on macroeconomic indicators as banking, oil and petrochemicals, coal, home appliances, non-ferrous metals, and construction [21][23] Long-term Reversal Strategy - The long-term reversal strategy focuses on industries that exhibit momentum effects within two years and reversal effects beyond three years, utilizing a composite of three factors for industry ranking [26]

Investment Rating - The report maintains an "Outperform" rating for the non-bank financial industry, indicating an expected performance that exceeds the benchmark index by more than 10% [1][28]. Core Insights - The China Securities Regulatory Commission (CSRC) has released management rules for Real Estate Investment Trusts (REITs), aiming to enhance the foundational system and optimize regulatory arrangements for the REITs market. This initiative is seen as a significant step in revitalizing existing commercial real estate, which is expected to stimulate consumption and investment, stabilize the industry, and support a new model of real estate development [3][7]. - The report emphasizes the investment value of the non-bank financial sector, particularly as regulatory policies improve and the capital market continues to develop. Some brokerage firms are expected to achieve steady growth in performance through both external and internal development strategies, exploring overseas business opportunities and leveraging competitive advantages [4][7]. Market Performance Overview - During the period from December 29 to December 31, major indices showed mixed performance, with the Shanghai Composite Index rising by 0.13%, while the CSI 300 Index fell by 0.59% and the ChiNext Index decreased by 1.25%. The average daily trading volume in A-shares was 2.12 trillion yuan, reflecting an increase of 8.30% compared to the previous period [5][8]. - As of December 31, the margin trading balance was 2.54 trillion yuan, with a slight decrease of 0.10%. The financing scale was 2.52 trillion yuan, and the margin balance was 165.26 billion yuan [14][15]. Industry Data Tracking 1) Market Performance and Scale: The report notes the performance of major indices and the average daily trading volume in A-shares, highlighting the mixed results during the specified period [8][12]. 2) Credit Business: The report provides data on the market's pledged shares and margin trading balances, indicating a slight decline in the margin trading balance [14][15]. 3) Fund Issuance: In November 2025, new fund issuance totaled 530.52 billion units, with a decrease of 34.09% in the number of funds issued compared to the previous month [14][20]. 4) Investment Banking: The report mentions that the equity underwriting scale in November 2025 was 525.75 billion yuan, with IPO amounts at 101.88 billion yuan and refinancing amounts at 423.88 billion yuan [14][20]. 5) Bond Market: The report notes a decline of 2.32% in the total price index of bonds compared to the beginning of the year, with the 10-year government bond yield rising by 23.96 basis points to 1.85% [14][15].

来源：新浪基金∞工作室 港股通非银ETF（513750）业绩比较基准为同期中证港股通非银行金融主题指数收益率(使用估值汇率 折算)，管理人为广发基金管理有限公司，基金经理为罗国庆、曹世宇，成立（2023-11-10）以来回报为 86.37%，近一个月回报为10.39%。 风险提示：市场有风险，投资需谨慎。本文为AI大模型自动发布，任何在本文出现的信息（包括但不 限于个股、评论、预测、图表、指标、理论、任何形式的表述等）均只作为参考，不构成个人投资建 议。 1月7日，港股通非银ETF（513750）跌0.11%，成交额34.66亿元。当日份额增加6.18亿份，最新份额为 172.30亿份，近20个交易日份额增加22.76亿份。最新资产净值计算值为321.18亿元。 ...

Market and Industry Overview - In the past month, major domestic market indices have generally risen, with the CSI 500, National Index 2000, CSI 1000, Shanghai-Shenzhen 300, and SSE 50 increasing by 6.17%, 3.99%, 3.56%, 2.28%, and 2.07% respectively [1][12] - Among the 19 industries in the CITIC first-level industry classification, the defense and military industry, non-ferrous metals, telecommunications, and comprehensive finance saw significant gains, with the defense and military industry leading at a monthly increase of 21.24% [1][12] - Conversely, the pharmaceutical, food and beverage, and real estate industries lagged behind, with monthly declines of -4.09%, -4.34%, and -4.47% respectively [1][12] Industry Rotation Strategy Performance - In December, the performance of factors was notable, with profitability, quality, valuation momentum, and analyst expectations all achieving positive IC values, particularly the profitability factor with an IC of 55.67% [2][21] - All factors contributed positively to long-short returns, with the analyst expectations factor yielding a long-short return of 6.16%, while profitability, quality, and valuation momentum provided returns of 3.75%, 3.47%, and 3.88% respectively [2][21] - For the year 2025, quality, valuation momentum, analyst expectations, and research activity factors all showed positive IC averages of 7.27%, 1.37%, 2.44%, and 7.34% respectively [2][22] Current Industry Recommendations - The January recommendations from the enhanced industry rotation strategy include real estate, non-ferrous metals, defense and military, basic chemicals, and electronics, with significant changes from the previous month [4][49] - The defense and military industry received joint recommendations from both the enhanced strategy and the research-selected strategy, indicating a higher level of attention [5][49] - The research-selected strategy for January includes computer, transportation, coal, steel, and defense and military industries, with increased research activity noted in the computer and transportation sectors [4][51]