Investment Rating - The investment rating for the company is "Buy" [6] Core Views - The coal business has shown signs of a turning point, and the company's value is expected to be reassessed [4] - The company has a significant low-carbon advantage in the electrolytic aluminum sector due to its high proportion of green electricity from hydropower [3] - The recovery in coal prices is anticipated to increase profit elasticity in the coal business in the second half of 2025 [2] Summary by Relevant Sections Financial Performance - In H1 2025, the company achieved revenue of 20.43 billion yuan, a year-on-year increase of 12%, while net profit attributable to shareholders was 1.9 billion yuan, a year-on-year decrease of 17% [1] - The company's electrolytic aluminum production reached 871,100 tons, a year-on-year increase of 16%, while coal production was 3.708 million tons, also up by 15% [2] - The average selling price of electrolytic aluminum was 16,269 yuan/ton, up 4% year-on-year, while coal prices fell to 773 yuan/ton, down 31% year-on-year [2] Business Segments - The company is a major supplier of premium coal for metallurgical enterprises, with a coal output rate of approximately 75%, leading the industry [3] - The aluminum foil products focus on high-precision applications, with a strong market presence in ultra-thin battery aluminum foil [4] Future Projections - The company is expected to achieve net profits of 5.3 billion yuan, 6.5 billion yuan, and 7.3 billion yuan for the years 2025, 2026, and 2027, respectively, with corresponding P/E ratios of 8.1, 6.6, and 5.9 [4][5] - Revenue is projected to grow from 44.13 billion yuan in 2025 to 45.76 billion yuan in 2027, with a compound annual growth rate of approximately 1.8% [5]

Group 1: Financing and Market Overview - The report discusses the historical performance of rapid inflows into financing accounts, analyzing the market trends and leading sectors during such periods [3] - A review of the A-share market indicates a bullish investor sentiment, with the Shanghai Composite Index briefly surpassing 3700 points [3] - Global equity markets experienced a comprehensive rise, with Asian markets leading the gains [3] Group 2: Convertible Bonds - The convertible bond market is currently in a high valuation zone, with a pricing deviation indicator of 5.42%, placing it in the 99.9th percentile since 2018 [3] - Historical data shows that when convertible bonds are in the high valuation zone, the average return over the next six months is -2.9%, with a win rate of 0% [3] Group 3: Fixed Income and Economic Indicators - The basic frequency index for the economy stands at 127.2 points, reflecting a year-on-year increase of 5.4 points [5] - The industrial production frequency index is at 126.4, with a year-on-year increase of 5.1 points [5] - The commodity housing sales frequency index is at 43.3, showing a year-on-year decline of 6.4 points [5] Group 4: Company-Specific Insights Xtep International (01368.HK) - Xtep International reported a 7.1% increase in revenue for H1 2025, reaching 6.84 billion yuan, and a 21.5% increase in net profit to 910 million yuan [7][8] - The company maintains a stable dividend payout ratio of 50% [8] - Forecasts suggest a revenue growth of approximately 7% and a net profit growth of over 10% for 2025 [8] Lenovo Group (00992.HK) - Lenovo's Q1 25-26 fiscal year results exceeded expectations, with significant growth in PC and mobile segments [9] - Projected revenues for the next three fiscal years are $759 billion, $819 billion, and $893 billion, with corresponding net profits of $16.5 billion, $19.6 billion, and $24.0 billion [9] Nanwei Medical (688029.SH) - Nanwei Medical achieved a revenue of 1.565 billion yuan in H1 2025, marking a 17.36% year-on-year growth, with a net profit of 363 million yuan, up 17.04% [11][12] - The company is expected to see continued revenue growth of 21.3%, 19.5%, and 19.1% over the next three years [12]

Group 1 - The report identifies four significant instances of rapid inflow of financing in A-shares from 2014 to present, with the first instance (2014.8~2015.5) being the longest and largest in scale, but with limited reference value due to its unique historical context [1][15][17] - The second instance of rapid inflow (2019.2~2019.4) was primarily driven by improvements in the macroeconomic environment, including a temporary easing of US-China trade tensions and monetary policy easing [1][17] - The third instance (2020.6~2020.8) was attributed to the stabilization of overseas equity markets and improved profit expectations for A-share companies following global economic disruptions [2][17] - The fourth instance (2024.9~2024.11) was linked to a shift in macroeconomic policy aimed at boosting consumption and improving livelihoods, supported by a series of financial policies [2][17] Group 2 - The report notes that after a period of rapid inflow, the momentum may weaken, typically observed 2-3 months post-inflow, reflecting a potential cooling of investor sentiment [3][18] - It highlights that macro policy implementation or shifts, along with a lack of unexpected improvements in fundamentals, could lead to a slowdown in financing inflows or even market corrections [3][18] - The current financing heat in A-shares is suggested to have returned to an overheated state, as indicated by financing balance and trading volume metrics surpassing historical averages [5][23][27] Group 3 - The report analyzes the leading sectors during the rapid inflow periods from 2019 to 2024, noting that the rotation of leading sectors occurs quickly, with varying numbers of sectors consistently performing well across different inflow periods [6][32] - It distinguishes between sectors driven by fundamental factors and those influenced by thematic catalysts, with examples including feed and digital media in 2019, consumer electronics and photovoltaic equipment in 2020, and financial IT and Huawei supply chain in 2024 [6][32] - The report concludes that sectors driven by fundamentals are more likely to continue rising after a slowdown in financing inflows, while those driven by themes may face higher chances of correction [6][33]

Report Industry Investment Rating No relevant content provided. Core View of the Report The report updates the high - frequency data on various aspects of the economy from August 8th to August 15th, 2025, including the overall fundamental situation, production, demand, prices, inventory, transportation, and financing. The overall fundamental high - frequency index shows a stable trend, while different sub - indicators have different changes, such as the increase in the industrial production high - frequency index, the decline in the real - estate sales high - frequency index, etc. [1][8] Summary by Relevant Catalogs Total Index: Fundamental High - Frequency Index Stable - The current Guosheng fundamental high - frequency index is 127.2 points (previous value: 127.0 points), with a week - on - week increase of 0.1 points and a year - on - year increase of 5.4 points, and the year - on - year growth rate remains unchanged. The long - short signal of interest - rate bonds remains unchanged, with a signal factor of 4.8% (previous value: 4.7%). [1][8] Production: PTA Operating Rate Declines - The industrial production high - frequency index is 126.4, with a week - on - week increase of 0.1 points and a year - on - year increase of 5.1 points, and the year - on - year growth rate rises. The PTA operating rate is 75.0%, a decrease from the previous value of 75.9%. [1][8][15] Real - Estate Sales: Transaction Land Premium Rate Declines - The real - estate sales high - frequency index is 43.3, with a week - on - week decrease of 0.1 points and a year - on - year decrease of 6.4 points, and the year - on - year decline rate remains unchanged. The transaction land premium rate of 100 large - and medium - sized cities is 1.9%, a decrease from the previous value of 3.6%. [1][8][29] Infrastructure Investment: Petroleum Asphalt Operating Rate Rises - The infrastructure investment high - frequency index is 120.3, with a week - on - week increase of 0.2 points and a year - on - year increase of 5.1 points, and the year - on - year growth rate expands. The operating rate of petroleum asphalt devices is 32.9%, an increase from the previous value of 31.7%. [1][8][45] Export: Export Container Freight Rate Index Continues to Decline - The export high - frequency index is 143.8, with a week - on - week increase of 0 points and a year - on - year increase of 2.9 points, and the year - on - year growth rate narrows. The CCFI index is 1193 points, a decrease from the previous value of 1201 points. [1][8][47] Consumption: Daily Average Movie Box Office Declines - The consumption high - frequency index is 119.8, with a week - on - week increase of 0.1 points and a year - on - year increase of 2.7 points, and the year - on - year growth rate remains unchanged. The daily average movie box office is 20,674 yuan, a decrease from the previous value of 24,143 yuan. [1][8][67] CPI: Pork Wholesale Price Declines - The CPI monthly - on - monthly forecast is 0.2% (previous value: 0.2%). The latest average wholesale price of pork is 20.2 yuan/kg, a decrease from the previous value of 20.4 yuan/kg. [1][8][68] PPI: Steam Coal Price Rises - The PPI monthly - on - monthly forecast is 0.2% (previous value: 0.2%). The ex - warehouse price of steam coal (produced in Shanxi) at Qinhuangdao Port is 692 yuan/ton, an increase from the previous value of 674 yuan/ton. [1][8][73] Transportation: Passenger Volume Remains Stable Overall - The transportation high - frequency index is 129.8, with a week - on - week increase of 0.2 points and a year - on - year increase of 9.2 points, and the year - on - year growth rate expands. The subway passenger volume in first - tier cities is 40240,000 person - times, an increase from the previous value of 38860,000 person - times. [2][9][84] Inventory: Electrolytic Aluminum Inventory Declines - The inventory high - frequency index is 161.3, with a week - on - week increase of 0.1 points and a year - on - year increase of 9.0 points, and the year - on - year growth rate narrows. The electrolytic aluminum inventory is 161,000 tons, a decrease from the previous value of 197,000 tons. [2][9][92] Financing: Net Local Bond Financing Turns from Positive to Negative - The financing high - frequency index is 234.5, with a week - on - week increase of 0.6 points and a year - on - year increase of 29.8 points, and the year - on - year growth rate expands. The net local bond financing is - 1.37 billion yuan, a decrease from the previous value of 8.28 billion yuan. [2][9][103]

- The report discusses the valuation of convertible bonds (CB) using the pricing deviation indicator, which is calculated as the ratio of the CB price to the CCBA model price minus one. As of August 15, 2025, the pricing deviation indicator for the CB market is 5.42%, placing it in the 99.9th percentile since 2018, indicating a high valuation zone[6] - The report also mentions a rotation strategy between CBs and a stock-bond portfolio based on the pricing deviation indicator. The strategy involves calculating a Z-score from the pricing deviation and its standard deviation over the past three years, then adjusting the CB weight accordingly. This strategy has historically generated stable excess returns[21][23] - The report evaluates different CB strategies, including a low-valuation strategy, a low-valuation plus strong momentum strategy, a low-valuation plus high turnover strategy, a balanced debt-enhanced strategy, a credit bond replacement strategy, and a volatility control strategy. Each strategy is constructed using specific factors and has shown varying degrees of absolute and excess returns since 2018[33][36][40][44][48][52] Model and Factor Construction 1. **Pricing Deviation Indicator**: - **Construction Idea**: Measure the deviation of CB prices from their theoretical values - **Construction Process**: - Calculate the pricing deviation as follows: $ \text{Pricing Deviation} = \frac{\text{CB Price}}{\text{CCBA Model Price}} - 1 $ - Use this indicator to assess the valuation level of the CB market[6] - **Evaluation**: Indicates that the CB market is currently in a high valuation zone[6] 2. **Rotation Strategy Between CBs and Stock-Bond Portfolio**: - **Construction Idea**: Rotate between CBs and a stock-bond portfolio based on CB valuation - **Construction Process**: - Calculate the Z-score of the pricing deviation: $ Z = \frac{\text{Pricing Deviation}}{\text{Standard Deviation (3 years)}} $ - Adjust the CB weight using the Z-score: $ \text{CB Weight} = 50\% + 50\% \times \text{Z-score} $ - Allocate the remaining weight to the stock-bond portfolio[21] - **Evaluation**: This strategy has historically generated stable excess returns[21][23] 3. **Low-Valuation Strategy**: - **Construction Idea**: Select CBs with the lowest valuation deviations - **Construction Process**: - Use the CCB_out model to calculate the pricing deviation: $ \text{Pricing Deviation} = \frac{\text{CB Price}}{\text{CCB_out Model Price}} - 1 $ - Select the 15 CBs with the lowest deviations in each of the debt, balanced, and equity-biased categories (total 45 CBs) - Ensure the selected CBs have a balance of over 300 million and a rating of AA- or above[33] - **Evaluation**: This strategy has shown strong stability and significant absolute and excess returns since 2018[33] 4. **Low-Valuation + Strong Momentum Strategy**: - **Construction Idea**: Combine low valuation with strong momentum for higher elasticity - **Construction Process**: - Combine the pricing deviation factor with the stock momentum factor (1, 3, 6 months) - Select CBs based on combined scores[36] - **Evaluation**: This strategy has shown strong elasticity and significant absolute and excess returns since 2018[36] 5. **Low-Valuation + High Turnover Strategy**: - **Construction Idea**: Combine low valuation with high turnover for higher liquidity - **Construction Process**: - Select the lowest 50% valuation CBs - Within this pool, select CBs with the highest turnover rates (5, 21 days) and the highest CB to stock turnover ratios (5, 21 days)[40] - **Evaluation**: This strategy has shown stable excess returns and significant absolute returns since 2018[40] 6. **Balanced Debt-Enhanced Strategy**: - **Construction Idea**: Enhance returns by combining low valuation with turnover and momentum factors - **Construction Process**: - Select the lowest 50% valuation CBs, excluding equity-biased CBs - Use turnover and momentum factors for debt-biased CBs and turnover factors for balanced CBs[44] - **Evaluation**: This strategy has shown significant absolute returns with low volatility and drawdown since 2018[44] 7. **Credit Bond Replacement Strategy**: - **Construction Idea**: Replace credit bonds with CBs for higher returns - **Construction Process**: - Select CBs with YTM + 1% greater than 3-year AA credit bond YTM - Ensure selected CBs have a balance of over 300 million and a rating of AA- or above - Select the top 20 CBs based on 1-month stock momentum, with a maximum weight of 2% per CB - Use volatility control to reduce short-term drawdown, allocate remaining weight to credit bonds[48] - **Evaluation**: This strategy has shown stable returns with low volatility and drawdown since 2018[48] 8. **Volatility Control Strategy**: - **Construction Idea**: Control portfolio volatility while enhancing returns - **Construction Process**: - Select the top 15 CBs in each of the debt, balanced, and equity-biased categories based on low valuation and strong momentum scores - Use volatility control to maintain portfolio volatility at 4% - Allocate remaining weight to credit bonds[52] - **Evaluation**: This strategy has shown stable returns with controlled volatility and drawdown since 2018[52] Model and Factor Backtest Results 1. **Low-Valuation Strategy**: - **Annualized Return**: 23.0% - **Annualized Volatility**: 13.5% - **Maximum Drawdown**: 15.6% - **Excess Return**: 11.9% - **IR**: 2.08[36] 2. **Low-Valuation + Strong Momentum Strategy**: - **Annualized Return**: 25.4% - **Annualized Volatility**: 14.2% - **Maximum Drawdown**: 11.9% - **Excess Return**: 14.0% - **IR**: 2.32[40] 3. **Low-Valuation + High Turnover Strategy**: - **Annualized Return**: 25.2% - **Annualized Volatility**: 15.2% - **Maximum Drawdown**: 15.9% - **Excess Return**: 13.9% - **IR**: 2.20[44] 4. **Balanced Debt-Enhanced Strategy**: - **Annualized Return**: 23.2% - **Annualized Volatility**: 12.2% - **Maximum Drawdown**: 13.4% - **IR**: Not provided[48] 5. **Credit Bond Replacement Strategy**: - **Annualized Return**: 7.5% - **Annualized Volatility**: 2.1% - **Maximum Drawdown**: 2.8% - **IR**: Not provided[52] 6. **Volatility Control Strategy**: - **Annualized Return**: 10.2% - **Annualized Volatility**: 4.4% - **Maximum Drawdown**: 4.2% - **IR**: Not provided[56]

证券研究报告 | 季报点评 gszqdatemark 2025 08 18 年 月 日 业绩超预期，持续推动 AI 战略 联想集团 25-26Q1 财季业绩超预期。Q1 财季公司实现 188.3 亿美元收 入，同比增长 22%。分业务看，IDG/ISG/SSG/分部间抵消收入分别为 135/43/23/-12 亿美元，占比 71%/23%/12%/-6%，PC 及非 PC 业务分别 占 53%/47%。IDG/ISG/SSG 业务同比增速分别为 18%/36%/20%，各项 业务均保持高增速。盈利方面，Q1 财季毛利率录得 14.7%，同比/环比下 降 1.8pct/1.6pct；IDG/ISG/SSG 经营利润率分别为 7.1%/-2.0%/22.2%。 其中 ISG 业务亏损扩大，主要系 AI 服务器收入同比翻番，CSP 业务毛利 率较低。得益于卓越的运营和良好的费用控制，公司费用率环比明显收窄， 使得公司归母净利润同比大幅增长 108%至 5.05 亿美元，归母净利润率 录得 2.7%，同比/环比分别提升 1.1%/2.2%。 PC 基本盘快速增长，手机业务双位数增长。Q1 财季，联想集团 PC 收入 ...

Investment Rating - The report maintains a "Buy" rating for the company [6] Core Views - The company demonstrated robust performance in H1 2025, with revenue reaching 1.565 billion yuan, a year-on-year increase of 17.36%, and a net profit of 363 million yuan, up 17.04% [1] - Innovative products showed significant growth, with revenue from new products reaching 110 million yuan, a nearly 40% increase year-on-year, and overseas innovative products growing even more impressively [2][3] - The company is expanding its global service capabilities and has made significant progress in its overseas market, achieving 910 million yuan in overseas revenue, a 44.85% increase, with overseas revenue now accounting for 58% of total revenue [3] Summary by Sections Financial Performance - In H1 2025, the company achieved operating income of 1.565 billion yuan, with a quarterly breakdown showing Q2 revenue of 866 million yuan, a 21.36% year-on-year increase [1] - The company’s core product transition is expected to drive gross margin improvement, with gross margins for various product lines showing slight declines but potential for recovery as core products are switched [2] Product and Market Development - The company’s innovative products, particularly in the visualization category, are expected to contribute significantly to future revenue growth, with the second-generation cholangioscope anticipated to launch next year [4] - The company has successfully expanded its overseas market presence to over 90 countries, with notable growth in the Americas and Europe, particularly after acquiring a 51% stake in Creo Medical S.L.U. [3] Future Projections - Revenue forecasts for 2025-2027 are projected at 3.341 billion, 3.993 billion, and 4.754 billion yuan, respectively, with corresponding net profits of 671 million, 807 million, and 968 million yuan [4] - The report anticipates a steady increase in earnings per share (EPS) from 3.57 yuan in 2025 to 5.15 yuan in 2027, reflecting strong growth potential [5]

Group 1: Macroeconomic Insights - The macroeconomic environment remains supportive for the market, with expectations of new policies but limited strong stimulus in the short term, focusing on three major changes: export, consumption, and real estate data [6][7][8] - July economic data shows a general slowdown, with consumption continuing to decline and investment in real estate and manufacturing accelerating its drop [7][8] - The banking sector is experiencing a decline in profits, but the credit structure is continuously optimizing, with a narrowing decline in profit growth observed in Q2 [23][24] Group 2: Industry Performance - The construction industry is seeing a significant revaluation of mineral resources, with a focus on high-dividend leading companies due to improved supply and overseas demand [19][20] - The courier industry is experiencing a "reverse involution," with price increases expected to spread across regions, enhancing profitability for major listed companies [21][23] - The sweetener industry is projected to grow, driven by the demand for sugar reduction, with artificial sweeteners maintaining a strong market presence [30][31] Group 3: Company-Specific Insights - Jianghe Group, a leader in high-end curtain wall supply, is expected to see steady profit growth from 2025 to 2027, with a minimum dividend payout ratio of 80% [20] - Rongxin Culture, a leader in children's books, is positioned for growth through digital transformation and IP monetization, with significant profit increases projected from 2025 to 2027 [32] - Youyou Foods, a leader in spicy chicken feet snacks, is expanding its market presence and product offerings, with strong growth potential in emerging channels [35]

Quantitative Models and Factor Analysis Quantitative Models and Construction - **Model Name**: CSI 500 Enhanced Portfolio **Model Construction Idea**: The model aims to generate excess returns relative to the CSI 500 index by leveraging quantitative strategies and factor-based stock selection[53][55] **Model Construction Process**: 1. The model uses a strategy-driven approach to select stocks within the CSI 500 universe 2. Portfolio weights are optimized based on factor exposures and risk constraints 3. The portfolio is rebalanced periodically to maintain alignment with the strategy[54][56] **Model Evaluation**: The model has demonstrated significant long-term excess returns but underperformed the benchmark in the most recent week[53][55] - **Model Name**: CSI 300 Enhanced Portfolio **Model Construction Idea**: Similar to the CSI 500 Enhanced Portfolio, this model seeks to outperform the CSI 300 index through quantitative factor-based strategies[57][59] **Model Construction Process**: 1. Stocks are selected from the CSI 300 universe based on factor signals 2. Portfolio optimization is performed to balance factor exposures and minimize risk 3. Regular rebalancing ensures the portfolio remains aligned with the strategy[59][60] **Model Evaluation**: The model has achieved consistent long-term excess returns but slightly underperformed the benchmark in the most recent week[57][59] Model Backtesting Results - **CSI 500 Enhanced Portfolio**: - Weekly return: 2.92% - Underperformance relative to benchmark: -0.96% - Cumulative excess return since 2020: 50.58% - Maximum drawdown: -4.99%[53][55] - **CSI 300 Enhanced Portfolio**: - Weekly return: 2.28% - Underperformance relative to benchmark: -0.09% - Cumulative excess return since 2020: 35.61% - Maximum drawdown: -5.86%[57][59] --- Quantitative Factors and Construction - **Factor Name**: Beta Factor **Factor Construction Idea**: Measures the sensitivity of a stock's returns to market movements, with high-beta stocks expected to outperform in bullish markets[62][63] **Factor Construction Process**: 1. Beta is calculated using historical regression of stock returns against market returns 2. Stocks are ranked based on their beta values, and portfolios are constructed to maximize exposure to high-beta stocks[62][63] **Factor Evaluation**: Beta factor exhibited strong positive excess returns during the week, indicating market preference for high-beta stocks[63][66] - **Factor Name**: Value Factor **Factor Construction Idea**: Represents stocks with low valuation metrics, such as price-to-book or price-to-earnings ratios, which are expected to outperform over the long term[62][63] **Factor Construction Process**: 1. Stocks are ranked based on valuation metrics like book-to-price (BTOP) 2. Portfolios are constructed to overweight undervalued stocks[62][63] **Factor Evaluation**: Value factor showed significant negative excess returns during the week, reflecting weak market sentiment toward value stocks[63][66] Factor Backtesting Results - **Beta Factor**: - Weekly excess return: Positive[63][66] - **Value Factor**: - Weekly excess return: Negative[63][66] --- Composite Factor Analysis - **Factor Name**: Liquidity Factor **Factor Construction Idea**: Captures the ease of trading a stock, with higher liquidity stocks expected to perform better in volatile markets[62][63] **Factor Construction Process**: 1. Liquidity is measured using metrics like average daily turnover 2. Stocks are ranked, and portfolios are constructed to overweight high-liquidity stocks[62][63] **Factor Evaluation**: Liquidity factor demonstrated positive correlation with Beta and Momentum factors, indicating a preference for liquid, high-momentum stocks during the week[63][64] - **Factor Name**: Momentum Factor **Factor Construction Idea**: Represents stocks with strong recent performance, which are expected to continue outperforming in the short term[62][63] **Factor Construction Process**: 1. Momentum is calculated based on trailing returns over a specific period 2. Stocks are ranked, and portfolios are constructed to overweight high-momentum stocks[62][63] **Factor Evaluation**: Momentum factor showed positive performance, aligning with market trends favoring high-momentum stocks[63][66] Composite Factor Backtesting Results - **Liquidity Factor**: - Weekly correlation with Beta: Positive[63][64] - **Momentum Factor**: - Weekly excess return: Positive[63][66]

Investment Rating - The report maintains a "Buy" rating for the green electricity sector and recommends focusing on undervalued green electricity stocks and wind power operators [8][9]. Core Viewpoints - In July, electricity generation increased by 3.1%, with accelerated growth in thermal, wind, and solar power, while hydropower saw a decline [2][13]. - The first mechanism electricity price bidding was initiated in Shandong, marking a significant step in the national electricity market [6][15]. - The total scale of mechanism electricity is set at 9.467 billion kilowatt-hours, with wind power accounting for 8.173 billion kilowatt-hours and solar power for 1.294 billion kilowatt-hours [7][15]. Summary by Sections Industry Overview - In July, the industrial electricity generation reached 926.7 billion kilowatt-hours, a year-on-year increase of 3.1%, with daily average generation at 29.89 billion kilowatt-hours [2][14]. - The growth rates for various power sources in July were as follows: thermal power increased by 4.3%, wind power by 5.5%, solar power by 28.7%, while hydropower decreased by 9.8% [2][14]. Mechanism Electricity Bidding - Shandong Province released the implementation details for the mechanism electricity price bidding, which includes bidding subjects, bidding electricity volume, bidding mechanisms, and procedures [6][15]. - The bidding process will occur annually in October, with the first bidding scheduled for August 2025 [6][14]. Key Investment Recommendations - The report suggests focusing on undervalued green electricity stocks, particularly in the Hong Kong market, and highlights specific companies such as New天绿色能源 (H), 中闽能源, and 福能股份 [8][9]. - It also recommends thermal power companies with resilient quarterly performance, including 华能国际, 华电国际, and 宝新能源 [8][9]. Market Performance - The Shanghai Composite Index closed at 3696.77 points, up 1.70%, while the CSI 300 Index closed at 4202.35 points, up 2.37% [67]. - The CITIC Power and Utilities Index fell by 0.10%, underperforming the CSI 300 Index by 2.47 percentage points [67]. Carbon Market Insights - The national carbon market saw a decrease in trading prices by 0.72%, with a total trading volume of 3.0317 million tons during the week [59][60].