Investment Rating - The report maintains a "Buy" rating for the company, expecting significant growth in the upcoming years [3][11]. Core Insights - The company plans to acquire 100% equity of Kaimiride (Suzhou) Information Technology Co., Ltd. through a share issuance and cash payment, with a share price set at 15.31 RMB per share. The specific transaction price and the ratio of shares to cash payment are yet to be determined [2]. - Kaimiride is recognized as one of the few financial technology companies in the domestic capital market with "independent controllability + overseas compatibility" capabilities. Its core product, VIVA, is an integrated management software platform that covers the entire process of fund management in the financial market [2]. - Successful completion of the acquisition could allow the company to integrate its overseas project management experience with Kaimiride's localized service capabilities, strategically entering the domestic banking market and reducing reliance on the Japanese market [2]. Financial Projections - The company’s projected revenues for 2025 to 2027 are 1.1114 billion, 1.170 billion, and 1.264 billion RMB, with growth rates of 0.0%, 5.0%, and 8.0% respectively. The net profit attributable to the parent company is expected to be 166 million, 176 million, and 191 million RMB, with growth rates of 33.7%, 5.8%, and 8.9% respectively [3][8]. - The projected P/E ratios for the same period are 42.8, 40.4, and 37.2 [3]. Company Overview - The company’s revenue for 2023 is reported at 696 million RMB, with a growth rate of 6.4%. The net profit for the same year is 87 million RMB, reflecting a decline of 38.72% [8]. - The diluted earnings per share for 2025 is projected to be 0.415 RMB, with a return on equity (ROE) of 12.42% [8].

Inventory Overview - In September 2025, the inventory of finished products in industrial enterprises increased by 0.5 percentage points to 2.8% year-on-year[7] - The overall industrial inventory cycle has seen a trend of "active restocking" following the spring peak[13] Industry-Specific Trends - The upstream sector (mining, accounting for only 2% of total inventory) is experiencing "active restocking" as of September 2025[15] - The midstream sector (upper and mid-level manufacturing, comprising 54% of total inventory) is undergoing "active destocking" as of September 2025[17] - The downstream sector (downstream manufacturing and utilities, making up 43% of total inventory) is also in a phase of "active destocking" as of September 2025[20] Risk Considerations - There are statistical sampling errors in the data, which may lead to discrepancies with actual conditions[2]

Group 1: U.S. Trade Policy and Agreements - The U.S. has implemented a series of tariffs, including a 10% baseline tariff and additional tariffs based on trade deficits, with rates reaching up to 104% for China[14][3] - Since April 2025, the U.S. has engaged in three phases of trade negotiations: exploratory, difficult negotiations, and signing agreements, with significant pressure on trade partners to comply[10][2] - The agreements reached primarily reflect "America First" principles, with countries making concessions on tariffs, investments, and market access[2][1] Group 2: Global Economic Impact - The traditional multilateral trade order is being undermined, leading to a restructured global economic system where trade relations are increasingly determined by national power rather than market forces[2][1] - Economic nationalism and fair trade ideologies are emerging as new narratives in global trade, with countries forming regional alliances to enhance economic resilience[2][1] - Despite U.S. trade pressures, China's economy remains resilient, with a projected increase in foreign trade in the first three quarters of 2025, as other regions fill the gap left by reduced U.S. exports[3][1] Group 3: Risks and Uncertainties - The uncertainty surrounding U.S. tariff policies poses risks, as judicial challenges could lead to significant changes in trade relations[4][1] - The recent U.S.-China economic agreement is merely a framework and does not resolve underlying strategic differences, leaving room for future trade tensions[4][1] - Third-party countries may face pressure to align with U.S. policies, potentially leading to increased tariffs on Chinese products and further complicating China's economic landscape[4][1]

Group 1: Macro Liquidity - The US dollar index has declined, and the degree of "inversion" in the China-US interest rate spread has narrowed. Inflation expectations have decreased [1][12]. - Offshore dollar liquidity has generally loosened, while domestic interbank liquidity remains balanced and slightly loose [1][18]. Group 2: Market Trading Activity - Overall market trading activity has decreased, with major indices also showing a decline in volatility. However, over half of the sectors still maintain trading activity above the 80th percentile [2][28]. - The volatility of major indices has decreased, while the volatility of the communication and electronics sectors remains above the 80th historical percentile [2][30]. Group 3: Institutional Research - The electronic, pharmaceutical, non-ferrous metals, electric new energy, and food and beverage sectors have seen high research activity, with steel, electric new energy, media, textile and apparel, and construction sectors experiencing a rise in research activity [3][41]. Group 4: Analyst Forecasts - The net profit forecasts for the entire A-share market for 2025 and 2026 have been adjusted, with increases in the transportation, construction, non-bank financials, military, computer, and banking sectors [4][21]. - The net profit forecasts for the Shanghai Stock Exchange 50 index for 2025 and 2026 have been raised, while the forecasts for the CSI 500 and ChiNext indices have been lowered [4][23]. Group 5: Northbound Trading Activity - Northbound trading activity has decreased, with a slight net sell-off in A-shares. The trading volume ratio in sectors like electric new energy, home appliances, and computers has increased [5][32]. - Northbound trading has shown net buying in sectors such as electronics, machinery, and chemicals, while net selling has occurred in pharmaceuticals, food and beverages, and non-bank financials [5][33]. Group 6: Margin Financing Activity - Margin financing activity has significantly decreased to the lowest level since mid-August 2025, with a slight net buying of 6.736 billion yuan last week, primarily in electric new energy, chemicals, and pharmaceuticals [6][35]. - The proportion of financing purchases in sectors like steel, agriculture, forestry, animal husbandry, and petrochemicals has increased [6][38]. Group 7: Fund Activity - The positions of actively managed equity funds have decreased, with net redemptions in ETFs, particularly among institutional ETFs. Active equity funds have mainly increased positions in non-ferrous metals, automobiles, and home appliances [8][45]. - The correlation of actively managed equity funds with large-cap growth and mid/small-cap value has increased, while the correlation with mid/small-cap growth and large-cap value has decreased [8][48].

Investment Rating - The report indicates a marginal increase in investment in the TMT (Technology, Media, and Telecommunications) sector, with specific recommendations for non-bank financials, communications, real estate, building materials, media, and banks [1]. Core Insights - The industry rotation model is driven by three main dimensions: fundamentals, price-volume, and sentiment, aiming to capture market microstructure and industry opportunities. The model has been backtested bi-weekly and expanded to include factors such as momentum, trends, capital flow, sentiment, market structure, and volatility [1]. - The sentiment score for the real estate sector has significantly improved, increasing by 0.98, while the media sector's price-volume factors have seen a notable increase of 3.24 [1]. Summary by Sections Industry Recommendations - The recommended ETFs include: - E Fund CSI 300 Non-Bank ETF - Guotai CSI All-Index Communication Equipment ETF - Southern CSI All-Index Real Estate ETF - Guotai CSI All-Index Building Materials ETF - GF CSI Media ETF - Huabao CSI Bank ETF [3]. Performance Metrics - The industry rotation strategy has increased by 0.25% over the past two weeks, with an excess return of 0.64% compared to an equal-weighted industry benchmark. Year-to-date, the strategy has risen by 34.89%, with a Sharpe ratio of 1.77 and a Calmar ratio of 2.88 [4][6].

Core Insights - Tianhong Fund has established a strong presence in the index-enhanced quantitative fund sector, launching its first product in August 2019 and expanding its offerings steadily, with a significant growth phase expected in 2025 [2][10] - As of the end of Q3 2025, Tianhong Fund's index-enhanced quantitative funds reached 19 products with a total management scale exceeding 12.084 billion yuan, positioning it among the few teams in the industry to surpass the "100 billion" mark [12][10] - The fund has developed a comprehensive product matrix that provides investors with a complete set of quantitative tools for precise asset allocation across different market environments [2][10] Group 1: Performance and Risk Management - Tianhong Fund's broad-based index-enhanced quantitative products have consistently outperformed their peers, achieving excess returns that surpass the average of similar funds over both short-term and long-term periods [3][16] - The quantitative team emphasizes risk management throughout the investment process, effectively controlling drawdowns and demonstrating strong risk-adjusted performance [18][22] - As of October 31, 2025, the maximum drawdowns for Tianhong's major products ranked in the top 15% of the industry, showcasing the team's ability to manage risk while pursuing excess returns [18][22] Group 2: Industry-Specific Strategies - Tianhong Fund's industry-specific index-enhanced quantitative products cover major sectors such as technology, consumer goods, manufacturing, pharmaceuticals, and new energy, with many products outperforming similar actively managed funds [4][23] - Over the past three years, products like Tianhong's High-end Equipment Manufacturing and Consumer 100 Index Enhanced funds have shown a significant advantage, outperforming their peers by over 25% [4][23] Group 3: Quantitative Research and Technology Integration - The fund has built a complete closed-loop system from signal mining to performance evaluation, integrating advanced AI technologies into its investment processes to enhance its quantitative research capabilities [5][31] - The quantitative team employs a variety of AI models and has developed a robust feature engineering framework, which supports the models with diverse and substantial input data [32][31] - The risk model has been customized to better fit the characteristics of the A-share market, allowing for more precise risk assessment and control [35][36] Group 4: Team Structure and Stability - The quantitative team at Tianhong Fund consists of 8 members, including 4 fund managers and 4 researchers, all with strong backgrounds in finance, statistics, and computer science [6][48] - The team has maintained a high level of stability, with an average tenure of over 6 years, ensuring continuity in investment philosophy and strategy development [48]

Quantitative Models and Construction Methods 1. Model Name: Macro Timing Strategy - **Model Construction Idea**: The model is designed to provide equity allocation recommendations based on macroeconomic indicators, including economic growth and monetary liquidity[5][42] - **Model Construction Process**: - The model evaluates the strength of signals from two dimensions: economic growth and monetary liquidity - For each dimension, a percentage signal strength is assigned (e.g., 0% for economic growth and 50% for monetary liquidity in October)[42][43] - The model aggregates these signals to determine the recommended equity allocation percentage (e.g., 25% for November)[42][43] - **Model Evaluation**: The model has achieved a year-to-date return of 13.55%, underperforming the Wind All A Index, which returned 25.61% during the same period[42][45] --- Model Backtesting Results 1. Macro Timing Strategy - **Equity Allocation Recommendation**: 25% for November[42][43] - **Year-to-Date Return**: 13.55%[42][45] - **Benchmark (Wind All A Index) Return**: 25.61%[42][45] --- Quantitative Factors and Construction Methods 1. Factor Name: Value Factor - **Factor Construction Idea**: Measures the relative valuation of stocks to identify undervalued opportunities[48][60] - **Factor Construction Process**: - Includes metrics such as book-to-price ratio (BP_LR), earnings-to-price ratio (EP_FTTM), and sales-to-enterprise value ratio (Sales2EV)[60] - **Factor Evaluation**: The value factor performed strongly in the past week, with an IC mean of 12.38% in the CSI 300 stock pool and 31.97% in the CSI 500 stock pool[48][49] 2. Factor Name: Volatility Factor - **Factor Construction Idea**: Captures the risk and price fluctuation characteristics of stocks[48][61] - **Factor Construction Process**: - Includes metrics such as 60-day return volatility (Volatility_60D) and CAPM residual volatility (IV_CAPM)[61] - **Factor Evaluation**: The volatility factor showed strong performance, with an IC mean of 19.89% in the All A-share stock pool and 22.41% in the CSI 1000 stock pool[48][49] 3. Factor Name: Technical Factor - **Factor Construction Idea**: Utilizes historical price and volume data to identify trading opportunities[48][61] - **Factor Construction Process**: - Includes metrics such as 20-day turnover mean (Turnover_Mean_20D) and 240-day return skewness (Skewness_240D)[61] - **Factor Evaluation**: The technical factor achieved an IC mean of 13.68% in the All A-share stock pool and 8.17% in the CSI 500 stock pool[48][49] 4. Factor Name: Growth Factor - **Factor Construction Idea**: Focuses on identifying stocks with high growth potential based on financial metrics[48][60] - **Factor Construction Process**: - Includes metrics such as single-quarter net income growth (NetIncome_SQ_Chg1Y) and single-quarter operating income growth (OperatingIncome_SQ_Chg1Y)[60] - **Factor Evaluation**: The growth factor underperformed, with an IC mean of -6.34% in the All A-share stock pool and -10.06% in the CSI 500 stock pool[48][49] 5. Factor Name: Quality Factor - **Factor Construction Idea**: Identifies stocks with strong financial health and operational efficiency[48][61] - **Factor Construction Process**: - Includes metrics such as operating cash flow to current debt ratio (OCF2CurrentDebt) and gross margin (GrossMargin_TTM)[61] - **Factor Evaluation**: The quality factor underperformed, with an IC mean of -14.36% in the All A-share stock pool and -14.07% in the CSI 500 stock pool[48][49] --- Factor Backtesting Results 1. Value Factor - **IC Mean**: 12.38% (CSI 300), 31.97% (CSI 500), 22.41% (CSI 1000)[48][49] - **Multi-Long-Short Portfolio Return**: Positive across all stock pools[48][49] 2. Volatility Factor - **IC Mean**: 19.89% (All A-shares), 22.41% (CSI 1000)[48][49] - **Multi-Long-Short Portfolio Return**: Positive across all stock pools[48][49] 3. Technical Factor - **IC Mean**: 13.68% (All A-shares), 8.17% (CSI 500)[48][49] - **Multi-Long-Short Portfolio Return**: Positive across all stock pools[48][49] 4. Growth Factor - **IC Mean**: -6.34% (All A-shares), -10.06% (CSI 500)[48][49] - **Multi-Long-Short Portfolio Return**: Negative across all stock pools[48][49] 5. Quality Factor - **IC Mean**: -14.36% (All A-shares), -14.07% (CSI 500)[48][49] - **Multi-Long-Short Portfolio Return**: Negative across all stock pools[48][49]

- The report mentions the construction of enhanced strategy ETFs, which are based on indices such as CSI 300, CSI 500, CSI 1000, SSE STAR 50, and others. These ETFs aim to outperform their respective benchmarks through quantitative strategies and factor-based enhancements [23][24][35] - The construction process involves selecting stocks from the underlying index and applying quantitative models to optimize the portfolio. The models may include factor analysis, risk control, and return enhancement techniques. Specific formulas or methodologies are not detailed in the report [23][24][35] - Evaluation of enhanced strategy ETFs indicates that 18 out of 51 ETFs outperformed their benchmarks last week. Over the past year, 30 out of 33 ETFs achieved positive excess returns, showcasing the effectiveness of the strategy [23][24][35] - Testing results for enhanced strategy ETFs show varying excess returns. For example, the CSI 300 Enhanced ETF achieved a weekly excess return of 0.64%, while the CSI 500 Enhanced ETF achieved 1.42%. Over the past year, the CSI 1000 Enhanced ETF delivered an excess return of 28.67%, and the Guozheng 2000 Enhanced ETF achieved 33.35% [24][35][36]

Investment Rating - The report suggests a focus on cloud vendors and companies with exceeding expectations in the current market environment [3]. Core Insights - The report highlights a divergence in market performance, with consumer companies facing pressure while AI technology companies continue to show mixed results. Concerns about AI valuation bubbles persist, but leading tech companies like Microsoft, Google, and Meta maintain strong cash flows, suggesting a stable outlook for cloud vendors [3]. - The gaming demand remains robust, although there is a short-term lack of new game releases. Attention is drawn to the progress of key game tests and launches, which could drive revenue growth for related companies [3]. - The report emphasizes the importance of monitoring quarterly reports from major Chinese companies like Tencent, JD, Baidu, and Alibaba, as well as the ongoing value in sectors like PDD and the gaming industry [3]. Summary by Sections 1.1 Consumer & Internet - **Education**: The education index fell by 3.59%, with notable performance differences among companies. The implementation of a spring and autumn break system in Sichuan is expected to impact the sector positively [11][18]. - **Luxury & Gaming**: The luxury goods and gaming sectors are closely tied to macroeconomic conditions. Recent Q3 earnings from major gaming companies exceeded expectations, benefiting from a longer holiday schedule in 2026 [19][24]. - **Coffee & Tea**: The coffee sector remains vibrant, while the tea sector faces challenges due to reduced delivery platform subsidies and seasonal competition [3][27]. - **E-commerce**: The e-commerce sector is under pressure, with a lackluster performance during the Double Eleven shopping festival [3][35]. 1.2 Platform & Technology - **Streaming Platforms**: The streaming sector is driven by domestic demand, with platforms like Spotify reporting better-than-expected earnings [3][42]. - **Virtual Assets & Internet Brokers**: The cryptocurrency market is experiencing volatility, with a significant drop in global market value. However, there are potential buying opportunities following recent corrections [3][43]. - **Automotive Services**: The automotive aftermarket is projected to decline, with a year-over-year decrease of 4% expected by October 2025 [3][61]. 1.3 Media - The media sector is experiencing mixed performance, with streaming services facing challenges but also opportunities for growth through strategic partnerships and content offerings [3][41].

Report Title - Active Equity Fund Monthly Investment Portfolio - October 2025 [1][2] Market and Fund Performance in September - Major broad - based indices rose, with the ChiNext Index and STAR 50 Index leading the gains, while the SSE 50 Index performed weakly [3] - Among industry sectors, the CITIC Growth Index and CITIC Cyclical Index had positive monthly returns, while the CITIC Consumption Index and CITIC Financial Index fell by 2% - 3% [3] - In terms of fund strategies, growth - style funds, especially those focused on prosperity and trend, outperformed, with an average increase of over 7%, while deep - value style funds lagged [3] - Among industry - themed funds, technology, cyclical, and new - energy themed funds had positive returns, while pharmaceutical and consumption - themed funds had negative returns [3] - Growth style outperformed value style, and large - and mid - cap styles outperformed small - cap styles [3] Top - Performing Funds Recent One - Month Performance - **All - Market Top Ten**: Funds like Noan Advanced Manufacturing A (001707.OF) and Huabao Competitive Advantage A (010335.OF) had significant monthly increases, with Noan Advanced Manufacturing A rising 31.08% and Huabao Competitive Advantage A rising 28.27% [6] - **Industry - Themed Top Ten**: Noan Research Preferred A (008185.OF) led with a 36.32% monthly increase, followed by Silver Fund Integrated Circuit A (013840.OF) with a 33.68% increase [6] Year - to - Date Performance - **All - Market Top Ten**: Hengyue Advantage Selection (011815.OF) had a YTD increase of 121.69%, and Jiaoyin Optimal Return A (519770.OF) had a 115.96% increase [8] - **Industry - Themed Top Ten**: Yongying Technology Smart Selection A (022364.OF) led with a 187.86% YTD increase, followed by China - Europe Digital Economy A (018993.OF) with a 132.39% increase [8] October Equity Fund Portfolio Construction Market Outlook - In the short term, the core logic of incremental funds, improved internal returns, and policy resonance remains unchanged, but the risk premium is near the median, and some valuations are relatively high, requiring continuous growth in net profit. The market may slow down and fluctuate [10] Portfolio Construction Principles - **Sustained Tech Growth Opportunities**: The tech growth theme remains the main line of the bull market, but short - term volatility may be high. Consider funds with diversified investment directions and rotation strategies [10] - **Anti - Involution Policy Catalysts**: Industries at the bottom of the cycle, such as chemicals, steel, coal, and some energy metals, are expected to benefit from anti - involution policies, with improved risk - reward ratios [10] - **Style Rotation of Dividend - Value Stocks**: Dividend - value sectors, although with low profit expectations, have attractive dividend yields compared to treasury bond yields. During market fluctuations, funds may flow to low - level sectors, creating investment opportunities [10] Fund Portfolios - **Aggressive Portfolio**: Includes funds like Cathay Golden Prosperity Return A (019328.OF) and Fullgoal Steady Growth A (010624.OF), with a focus on technology, manufacturing, and consumption sectors [11] - **Conservative Portfolio**: Comprises funds such as Merchants Upstream Industry A (005161.OF) and ChinaAMC Value Selection A (007592.OF), with a relatively balanced distribution across sectors [11] Portfolio Distribution - **Aggressive Portfolio**: Technology accounts for 34.12%, followed by cycle at 20.21% and manufacturing at 15.94% [15] - **Conservative Portfolio**: Cycle has the highest proportion at 28.28%, followed by manufacturing at 17.79% and technology at 21.46% [17]