Investment Rating - The report maintains an "Outperform" rating for the public utility and environmental sectors [5][7]. Core Insights - The report highlights the release of the State Council's implementation opinions on improving the national unified electricity market system, aiming for 70% of electricity consumption to be market-based by 2030 [14][15]. - The green methanol projects in China are primarily concentrated in Inner Mongolia and Northeast regions, with a planned capacity of 18.37 million tons per year [16]. - The report emphasizes the importance of carbon neutrality and recommends investments in the new energy industry chain and comprehensive energy management [18]. Summary by Sections Market Review - The Shanghai Composite Index rose by 0.36%, while the public utility index fell by 1.25% and the environmental index increased by 0.63% [13][21]. - Within the electricity sector, coal-fired power decreased by 0.23%, hydropower by 2.06%, and new energy generation by 0.58% [22]. Important Policies and Events - The State Council issued opinions on the national unified electricity market system, targeting a fully operational market by 2030 [14]. - The Ministry of Ecology and Environment announced plans for the 2026 national carbon emissions trading market [15]. Investment Strategy - Recommendations include major coal-fired power companies like Huadian International and regional power companies like Shanghai Electric due to stable profitability [18]. - New energy companies such as Longyuan Power and Three Gorges Energy are recommended due to supportive national policies [18]. - Nuclear power companies like China National Nuclear Power and China General Nuclear Power are expected to maintain stable profits [18]. - High-dividend hydropower stocks like Yangtze Power are highlighted for their defensive attributes [18]. - The report suggests focusing on environmental companies like China Everbright Environment and Shanghai Industrial Holdings as they enter a mature phase [19]. Key Company Profit Forecasts and Investment Ratings - Huadian International (600027.SH): Outperform, with an EPS of 0.46 for 2024A and a PE of 9.9 [7]. - Longyuan Power (001289.SZ): Outperform, with an EPS of 0.75 for 2024A and a PE of 20.5 [7]. - China Nuclear Power (601985.SH): Outperform, with an EPS of 0.46 for 2024A and a PE of 20.0 [7]. - China Everbright Environment (0257.HK): Outperform, with an EPS of 0.55 for 2024A and a PE of 9.5 [7].

Quantitative Models and Construction Methods - **Model Name**: Maximized Factor Exposure Portfolio (MFE) **Model Construction Idea**: The MFE portfolio is designed to maximize the exposure of a single factor while controlling for various constraints such as industry exposure, style exposure, stock weight deviation, and turnover rate. This approach ensures that the factor's predictive power is tested under realistic constraints, making it more applicable in actual portfolio construction [40][41]. **Model Construction Process**: The MFE portfolio is constructed using the following optimization model: $ \begin{array}{ll} max & f^{T} w \\ s.t. & s_{l} \leq X(w-w_{b}) \leq s_{h} \\ & h_{l} \leq H(w-w_{b}) \leq h_{h} \\ & w_{l} \leq w-w_{b} \leq w_{h} \\ & b_{l} \leq B_{b}w \leq b_{h} \\ & \mathbf{0} \leq w \leq l \\ & \mathbf{1}^{T} w = 1 \end{array} $ - **Objective Function**: Maximize single-factor exposure, where \( f \) represents factor values, and \( w \) is the stock weight vector. - **Constraints**: 1. **Style Exposure**: \( X \) is the factor exposure matrix, \( w_b \) is the benchmark weight vector, and \( s_l, s_h \) are the lower and upper bounds for style factor exposure. 2. **Industry Exposure**: \( H \) is the industry exposure matrix, and \( h_l, h_h \) are the lower and upper bounds for industry deviation. 3. **Stock Weight Deviation**: \( w_l, w_h \) are the lower and upper bounds for stock weight deviation. 4. **Constituent Stock Weight**: \( B_b \) is a 0-1 vector indicating whether a stock is a benchmark constituent, and \( b_l, b_h \) are the lower and upper bounds for constituent stock weights. 5. **No Short Selling**: Ensures non-negative weights and limits individual stock weights. 6. **Full Investment**: Ensures the portfolio is fully invested with weights summing to 1 [40][41][42]. **Model Evaluation**: The MFE portfolio effectively tests factor validity under realistic constraints, making it a robust tool for practical portfolio construction [40][41]. --- Quantitative Factors and Construction Methods - **Factor Name**: BP (Book-to-Price Ratio) **Factor Construction Idea**: Measures valuation by comparing book value to market value [18]. **Factor Construction Process**: $ BP = \frac{\text{Net Asset}}{\text{Market Value}} $ **Factor Evaluation**: BP is a widely used valuation factor and has shown consistent performance in various market conditions [18]. - **Factor Name**: SPTTM (Sales-to-Price Ratio, Trailing Twelve Months) **Factor Construction Idea**: Evaluates valuation by comparing sales to market value over the trailing twelve months [18]. **Factor Construction Process**: $ SPTTM = \frac{\text{TTM Sales}}{\text{Market Value}} $ **Factor Evaluation**: SPTTM is effective in identifying undervalued stocks with strong sales performance [18]. - **Factor Name**: DELTAROE (Change in Return on Equity) **Factor Construction Idea**: Captures growth by measuring the change in ROE compared to the same period last year [18]. **Factor Construction Process**: $ DELTAROE = \text{ROE}_{\text{current quarter}} - \text{ROE}_{\text{same quarter last year}} $ **Factor Evaluation**: DELTAROE is a strong indicator of improving profitability and growth potential [18]. - **Factor Name**: One-Month Reversal **Factor Construction Idea**: Measures short-term price reversal by calculating the return over the past 20 trading days [18]. **Factor Construction Process**: $ \text{One-Month Reversal} = \text{Return over the past 20 trading days} $ **Factor Evaluation**: This factor is effective in capturing mean-reversion effects in the short term [18]. --- Backtesting Results of Models - **MFE Portfolio (HS300)**: - Weekly excess return: -0.04% - Year-to-date excess return: 3.07% [6][15] - **MFE Portfolio (CSI500)**: - Weekly excess return: -1.72% - Year-to-date excess return: -2.50% [6][15] - **MFE Portfolio (CSI1000)**: - Weekly excess return: -1.58% - Year-to-date excess return: 1.63% [6][15] - **MFE Portfolio (CSI A500)**: - Weekly excess return: 0.26% - Year-to-date excess return: 3.78% [6][15] --- Backtesting Results of Factors - **BP Factor (CSI500)**: - Weekly excess return: 1.39% - Monthly excess return: 3.39% - Year-to-date excess return: 1.81% [21][22] - **SPTTM Factor (CSI1000)**: - Weekly excess return: 0.85% - Monthly excess return: 0.15% - Year-to-date excess return: -1.81% [23][24] - **DELTAROE Factor (CSI A500)**: - Weekly excess return: 0.10% - Monthly excess return: 0.72% - Year-to-date excess return: 1.20% [25][26] - **One-Month Reversal Factor (HS300)**: - Weekly excess return: -0.72% - Monthly excess return: -1.41% - Year-to-date excess return: -2.52% [19][20]

Exchange Rate Dynamics - The RMB exchange rate strengthened significantly post-Spring Festival, with an average daily increase of 239 basis points, breaking key psychological levels of 6.85 and 6.80[1] - A concentrated demand for currency settlement emerged due to uneven workday distribution in January and February 2026, leading to a surge in settlement needs in late February[1] - Approximately $1 trillion of export earnings have been held in overseas accounts over the past 2-3 years, triggering a "herd effect" as these funds returned to settle in RMB[1] Market Trends - As of February 27, the counter-cyclical factor shadow reached a peak of 793 basis points, indicating regulatory measures to curb excessive speculation in the market[1] - The People's Bank of China announced a reduction of the foreign exchange risk reserve ratio for forward sales from 20% to 0, reflecting a shift in monetary policy[1] - The current spread between the RMB central parity and spot exchange rate exceeds 700 basis points, indicating signs of overbought conditions[1] Economic Indicators - The Producer Price Index (PPI) data improvement in early 2026 signals a positive domestic economic recovery, providing intrinsic support for the RMB exchange rate[1] - For the week of February 21 to February 28, the Shanghai Composite Index rose by 1.08%, while the S&P 500 fell by 0.45%[2] - The offshore RMB appreciated by 0.53%, and the US dollar index decreased by 0.11% during the same period[2] Inventory and Fund Behavior - Recent oil inventory levels reached 44,684 million tons, increasing by 46,224 million tons from the previous week[3] - The latest data shows a decrease in long positions for the US dollar by 2,121 contracts, while gold ETF holdings increased by 720,000 ounces[3]

Group 1: A-Share Market - Recent week saw a slight net inflow of northbound funds estimated at 2.1 billion yuan, down from 3 billion yuan the previous week [10] - Flexible foreign capital estimated net inflow of 10 billion yuan in the recent week, compared to 8.8 billion yuan the week before [10] - Top active stocks in the recent week included Ningde Times with a total transaction amount of 17.9 billion yuan, accounting for 23% of the stock's weekly trading volume [10] Group 2: Hong Kong Market - Long-term foreign capital outflow is a primary reason for the recent weakness in the Hang Seng Index, with stable foreign capital outflow of 25.3 billion HKD and flexible foreign capital outflow of 14.3 billion HKD in the recent week [12] - Total capital inflow into the Hong Kong market was 1.9 billion HKD, with local funds from Hong Kong or mainland China contributing 10.5 billion HKD [12] - Significant foreign capital inflows were observed in the automotive and parts, electrical equipment, and semiconductor sectors [12] Group 3: Asia-Pacific Market - In the Asia-Pacific market, there was a net inflow of foreign capital into Japan, with overseas investors net inflowing 523.4 billion JPY in the latest week, down from 1,191.8 billion JPY the previous week [15] - In January, foreign institutional investors saw an outflow of 3.98 billion USD from the Indian stock market, compared to an outflow of 2.52 billion USD the previous month [17] Group 4: US and European Markets - In January, global mutual funds saw a net inflow of 29.8 billion USD into the US equity market, slightly down from 32.2 billion USD the previous month [19] - European equity markets also experienced net inflows, with the UK, Germany, and France receiving 3.67 billion USD, 3.59 billion USD, and 4.27 billion USD respectively [19]

Group 1: A-Share Market - Recent week saw a slight net inflow of northbound funds estimated at 2.1 billion yuan, down from 3 billion yuan the previous week [10] - Flexible foreign capital estimated net inflow of 10 billion yuan in the recent week, compared to 8.8 billion yuan the week before [10] - Top active stocks in the recent week included Ningde Times with a total transaction amount of 17.9 billion yuan, accounting for 23% of the stock's weekly trading volume [10] Group 2: Hong Kong Market - Long-term foreign capital outflow is a primary reason for the recent weakness in the Hang Seng Index, with stable foreign capital outflow of 25.3 billion HKD and flexible foreign capital outflow of 14.3 billion HKD in the recent week [12] - Total capital inflow into the Hong Kong market was 1.9 billion HKD, with local funds contributing 10.5 billion HKD [12] - Significant foreign inflows were observed in the automotive and semiconductor sectors, with notable inflows into ETFs, software services, and discretionary retail [12] Group 3: Asia-Pacific Market - In the Asia-Pacific region, there was a net inflow of foreign capital into the Japanese stock market amounting to 523.4 billion JPY in the latest week, down from 1,191.8 billion JPY the previous week [15] - In January, foreign institutional investors withdrew 3.98 billion USD from the Indian stock market, an increase from 2.52 billion USD in the previous month [17] Group 4: US and European Markets - In January, global mutual funds saw a net inflow of 29.8 billion USD into the US equity market, slightly down from 32.2 billion USD the previous month [19] - European equity markets also experienced net inflows, with the UK, Germany, and France receiving 3.67 billion USD, 3.59 billion USD, and 4.27 billion USD respectively [19]

Group 1: A-Share Market - Recent week saw a slight net inflow of northbound funds estimated at 2.1 billion yuan, down from 3 billion yuan the previous week [10] - Flexible foreign capital estimated net inflow of 10 billion yuan in the recent week, compared to 8.8 billion yuan the week before [10] - Top active stocks in the recent week included Ningde Times with a total transaction amount of 17.9 billion yuan, accounting for 23% of the stock's weekly trading volume [10] Group 2: Hong Kong Market - Long-term foreign capital outflow is a primary reason for the recent weakness in the Hang Seng Index, with stable foreign capital outflow of 25.3 billion HKD and flexible foreign capital outflow of 14.3 billion HKD in the recent week [12] - Total capital inflow into the Hong Kong market was 1.9 billion HKD, with local funds contributing 10.5 billion HKD [12] - Significant foreign capital inflows were observed in the automotive and semiconductor sectors, with notable inflows into ETFs and software services [12] Group 3: Asia-Pacific Market - In the Asia-Pacific market, there was a net inflow of 523.4 billion JPY into the Japanese stock market in the latest week, down from 1,191.8 billion JPY the previous week, with a cumulative net inflow of 13.8 trillion JPY since the beginning of 2023 [15] - In contrast, the Indian stock market experienced an outflow of 3.98 billion USD in January, increasing from 2.52 billion USD the previous month, with a cumulative net inflow of 8.3 billion USD since 2020 [17] Group 4: US and European Markets - In January, global mutual funds saw a net inflow of 29.8 billion USD into the US equity market, slightly down from 32.2 billion USD the previous month, with a total net inflow of 753.5 billion USD since 2020 [19] - European equity markets also experienced inflows, with net inflows of 3.67 billion USD, 3.59 billion USD, and 4.27 billion USD into the UK, Germany, and France respectively, all showing increases from the previous month [19]

Group 1 - The report highlights the performance of various active quantitative strategies, with the "Excellent Fund Performance Enhancement Portfolio" achieving an absolute return of 10.94% year-to-date, ranking in the 33.59th percentile among active equity funds [1][12][23] - The "Super Expected Selection Portfolio" has a year-to-date absolute return of 14.92%, ranking in the 17.31st percentile among active equity funds [1][12][31] - The "Brokerage Golden Stock Performance Enhancement Portfolio" has a year-to-date absolute return of 14.06%, ranking in the 19.91st percentile among active equity funds [1][12][38] - The "Growth and Stability Portfolio" achieved a year-to-date absolute return of 18.33%, ranking in the 8.90th percentile among active equity funds [1][12][46] Group 2 - The "Excellent Fund Performance Enhancement Portfolio" is constructed by benchmarking against the median return of active equity funds, utilizing a quantitative approach to enhance performance [3][17][51] - The "Super Expected Selection Portfolio" is built by screening stocks based on positive earnings surprises and analyst upgrades, focusing on both fundamental and technical criteria [4][24][57] - The "Brokerage Golden Stock Performance Enhancement Portfolio" is designed to optimize stock selection from a pool of recommended stocks by brokerages, aiming to outperform the median return of active equity funds [5][32][62] - The "Growth and Stability Portfolio" employs a two-dimensional evaluation system for growth stocks, prioritizing those with upcoming earnings announcements to capture excess returns [6][39][67]

- The "Guosen JinGong Hong Kong Stock Selection Portfolio" aims to select stocks with both fundamental support and technical resonance from the analyst-recommended stock pool[13][14] - The portfolio construction involves using analyst recommendation events such as upward earnings forecast revisions, initial analyst coverage, and analyst report titles indicating unexpected events to build the stock pool[14] - The backtesting period for the portfolio is from January 1, 2010, to December 31, 2025, with an annualized return of 19.08% and an excess return of 18.06% relative to the Hang Seng Index after considering transaction costs[14] - The "Stable New High Stock Selection Method" identifies stocks that have reached new highs in the past 250 trading days and have stable price paths[19][21] - The specific calculation for the 250-day new high distance is: $ 250 \text{ day new high distance} = 1 - \frac{Closet}{ts\_max(Close, 250)} $ where Closet is the latest closing price, and ts_max(Close, 250) is the maximum closing price in the past 250 trading days[21] - Stocks are selected based on analyst attention, relative stock strength, price path stability, and continuity of new highs[22] - The "Guosen JinGong Hong Kong Stock Selection Portfolio" achieved an annualized return of 19.08% and an excess return of 18.06% relative to the Hang Seng Index during the backtesting period from January 1, 2010, to December 31, 2025[14] - The portfolio's performance in 2020 was particularly notable with a return of 66.59% and an excess return of 70.00% relative to the Hang Seng Index[18] - The portfolio's Information Ratio (IR) was 1.19 over the entire sample period[18] - The "Stable New High Stock Selection Method" identified 13 stocks from the cyclical sector, 11 from manufacturing, 5 from consumer, 3 from technology, 1 from finance, and 1 from healthcare as stable new high stocks[21] - The method emphasizes the effectiveness of momentum and trend-following strategies, particularly in the Hong Kong market[19]

Investment Rating - The investment rating for the company is "Outperform the Market" [6][34]. Core Insights - The company achieved a revenue of HKD 29.161 billion in 2025, representing a year-on-year growth of 30.3%, and a net profit of HKD 17.754 billion, with a growth of 36.0% [1][8]. - The significant growth is driven by the increased trading activity in the Hong Kong stock market, with an average daily turnover (ADT) of HKD 2.315 trillion, a substantial increase of 92.9% year-on-year [1][13]. - The company's EBITDA margin reached a historical high of 78.2%, and the annualized return on equity (ROE) rose to 31.7%, surpassing the previous peak in 2015, highlighting the strong scale effects and high profitability of its asset-light operating model [1][8]. Revenue Structure - The main sources of revenue are trading fees and transaction system usage fees, along with settlement and clearing fees, which together accounted for 73.2% of total revenue in 2025 [2][8]. - The southbound capital flow has been a major driver of the increase in average daily turnover, with the southbound trading average reaching HKD 1.211 trillion, representing 26.2% of the total [2][13]. Market Context - The Hong Kong stock market is expected to continue attracting incremental capital, with both challenges and opportunities for technology stocks [2][21]. - Despite a slowdown in initial public offerings since 2021, many high-quality A-share companies have been listed in Hong Kong since 2024, injecting new vitality into the market [2][19]. Strategic Initiatives - The company is focused on deepening connectivity, enhancing market vitality, exploring innovative businesses, and strengthening technological empowerment [3][24]. - Key initiatives include optimizing and expanding the scope of the Stock Connect program, attracting quality assets through listing rule reforms, and developing non-traditional businesses such as data connectivity [3][25]. Financial Forecasts - The company is projected to achieve revenues of HKD 31.886 billion and HKD 34.302 billion in 2026 and 2027, respectively, with net profits expected to reach HKD 19.984 billion and HKD 21.428 billion [4][24]. - The EBITDA margin is expected to remain above 70%, reflecting the high gross margin characteristics of the asset-light model [24].

Investment Rating - The investment rating for the company is "Outperform the Market" [6][24]. Core Views - The company is expected to achieve significant revenue growth driven by the active trading environment in the Hong Kong market, with projected revenue of HKD 29.16 billion in 2025, representing a year-on-year increase of 30.3% [1][8]. - The net profit attributable to shareholders is forecasted to reach HKD 17.75 billion in 2025, reflecting a 36.0% year-on-year growth, supported by a substantial increase in daily trading volume [1][8]. - The company's EBITDA margin has reached a historical high of 78.2%, and the annualized return on equity (ROE) is projected to be 31.7%, indicating strong operational efficiency and profitability [1][8]. Revenue and Profit Structure - The primary sources of revenue are trading fees and transaction system usage fees, which together accounted for 73.2% of total revenue in 2025 [2][8]. - The average daily turnover (ADT) in the cash market is expected to be HKD 2.315 trillion in 2025, a significant increase of 92.9% year-on-year, driven mainly by southbound capital inflows [2][13]. - Southbound trading accounted for 26.2% of the overall daily turnover in the Hong Kong stock market, highlighting its importance in driving market activity [2][13]. Strategic Initiatives - The company is focusing on deepening connectivity with mainland markets, optimizing and expanding the scope of the Stock Connect program, and exploring innovative business opportunities such as data connectivity [3][24]. - Efforts to enhance market vitality include reforms in listing rules to attract high-quality assets and diverse investors [3][24]. - The company is also investing in technology to upgrade trading and settlement platforms, which will support future business expansion [3][24]. Financial Forecasts - Revenue is projected to grow from HKD 22.37 billion in 2024 to HKD 37.60 billion by 2028, with a compound annual growth rate (CAGR) of approximately 9.6% [4][32]. - Net profit is expected to increase from HKD 13.05 billion in 2024 to HKD 23.44 billion by 2028, reflecting a strong growth trajectory [4][32]. - The company’s PE ratio is forecasted to decrease from 40.4 in 2024 to 22.5 by 2028, indicating an improving valuation as earnings grow [4][32].