证券研究报告 | 行业周报 gszqdatemark 2025 05 11 年 月 日 煤炭开采 跌价利空钝化，退潮方现珍珠 行情回顾（2025.5.6~2025.5.9）： 中信煤炭指数 3,191.92 点，上涨 1.47%，跑输沪深 300 指数 0.53pct，位列中信板 块涨跌幅榜第 22 位。 近期，煤炭上市公司的 24 年年报&25 年一季报已披露完毕，我们从另外一个视角 对相关公司财报进行解析，总结如下： 谁是现金王？ ✓ "账面净现金"前 3：神华、陕煤、晋控； ✓ "账面净现金／净利"前 3：晋控、潞安、恒源； 谁的负债低？ ✓ "资产负债率"最低前 3：神华、晋控、电投； ✓ "资本负债率"最低前 3：潞安、晋控、神华； 谁的家底厚？ ✓ "专项储备"绝对额前 3：神华、陕煤、潞安； ✓ "吨煤专项储备"前 3：潞安、淮矿、恒源； 谁的潜力大？ ✓ 利润释放潜力前 3：昊华、伊泰、淮矿； 谁是分红王？ ✓ 近 3 年绝对额前 3：神华、陕煤、兖矿； ✓ 近 3 年比例前 3：冀中、神华、广汇； ✓ 24 年绝对额前 3：神华、陕煤、中煤； ✓ 24 年比例前 3：冀中、广汇、伊泰； ✓ ...

Investment Rating - The report maintains an "Increase" rating for the industry [5] Core Insights - The report highlights the stabilization of silicon material prices due to reduced production in response to weakened demand, with the average transaction price for granular silicon at 36,000 RMB/ton, down 2.7% week-on-week [14] - The report emphasizes the importance of two key directions: 1) focusing on silicon materials and glass with rigid supply and greater price elasticity post-demand recovery, with key companies including GCL-Poly Energy and Tongwei Co., Ltd. 2) exploring long-term growth opportunities brought by new technologies, focusing on Aiko Solar and Juhua Materials [14] - In the wind and electricity sector, Shandong has become the first province to implement the 136 document, clarifying pricing for existing projects at 0.3949 RMB/kWh, with a projected average settlement price for solar in Shandong at approximately 0.35 RMB/kWh in 2024 [15][18] - The report discusses the launch of China's first "trillion-level hydrogen energy project" in Shaanxi, which aims to utilize various hydrogen production methods to support low-carbon development [17] - The report notes that the average bidding price for energy storage systems in April was between 0.405 and 1.096 RMB/Wh, with recommendations to focus on companies with high growth certainty in large-scale storage, including Sungrow Power Supply and Eastern Gold Sun [21][24] Summary by Sections New Energy Generation - **Photovoltaics**: Silicon material prices are expected to stabilize as production is reduced in response to weakened demand, with a projected production reduction to 96,000 tons in May, down 3% month-on-month [14] - **Wind Power & Grid**: Shandong's implementation of the 136 document is expected to set a precedent for other provinces, with clear pricing mechanisms for existing projects [15][16] - **Hydrogen & Energy Storage**: The report highlights a significant hydrogen project in Shaanxi and provides insights into energy storage bidding prices, recommending key players in the sector [17][21] New Energy Vehicles - **Ningde Times**: The company has successfully passed the Hong Kong Stock Exchange listing hearing, aiming to raise approximately 5 billion USD for expansion projects, including those in Hungary and Indonesia [26] - The report suggests focusing on leading lithium battery companies and the solid-state battery industry for long-term investment opportunities [27] Price Dynamics in the Photovoltaic Industry - The report provides detailed price changes in the photovoltaic supply chain, indicating a downward trend in prices for various components, including polysilicon and solar cells [29] Important News - The report summarizes significant developments in the new energy sector, including partnerships and project announcements that could impact market dynamics [30][31]

Investment Rating - The investment rating for the company is "Maintain Buy" [6] Core Views - The company is a leading player in the casting industry, benefiting from the high growth and large-scale development of wind power installations [4] - The company's revenue for 2024 is reported at 4.696 billion yuan, a year-on-year increase of 0.87%, while the net profit attributable to shareholders is 624 million yuan, up 29.55% year-on-year [1][4] - The company is expected to see an increase in shipment volume in 2025 due to the rise in wind power installations, with a projected revenue of 6.333 billion yuan [5] Financial Performance Summary - In 2024, the company achieved a gross margin of 17.34%, a decrease of 1.33 percentage points year-on-year, while the net margin improved by 2.83 percentage points to 13.11% [1] - The company reported a gross margin of 15.53% in Q1 2025, down 6.24 percentage points year-on-year, with a net margin of 9.03%, a decrease of 3.25 percentage points [1] - The projected net profit for 2025 is 784 million yuan, with a year-on-year growth rate of 25.7% [5] Market and Product Development - The company is focusing on the development of large-scale wind turbine components, which are expected to enhance efficiency and reduce unit power costs [3] - The company has established a production capacity of 700,000 tons for casting and 420,000 tons for precision machining, allowing for flexible adjustments in production [2] - The company is expanding its market presence in high-end alloy steel and is actively developing large die-casting machines for the new energy vehicle sector [3] Future Outlook - The company anticipates a significant increase in net profit over the next three years, with projections of 784 million yuan in 2025, 912 million yuan in 2026, and 1.048 billion yuan in 2027 [4] - The company is expected to maintain a strong position in the wind power equipment industry, driven by technological advancements and market expansion [3][4]

Investment Rating - The report maintains a "Buy" rating for the industry, indicating a positive outlook for investment opportunities in the non-ferrous metals sector [5]. Core Insights - The report highlights that the People's Bank of China has increased its gold reserves for six consecutive months, with a total of 7.377 million ounces (approximately 2294.51 tons) as of the end of April, reflecting a month-on-month increase of 70,000 ounces (approximately 2.18 tons) [32]. - The macroeconomic environment is showing signs of improvement, particularly for copper, which is expected to have resilient supply and demand dynamics limiting its downside potential [2]. - The report suggests that the aluminum market is supported by favorable national policies and energy prices, leading to a short-term expectation of price fluctuations [2]. - Lithium prices are expected to stabilize in the short term due to an increase in inventory and a significant rise in production for power batteries [3]. - The report emphasizes the importance of monitoring geopolitical factors and trade policies, particularly regarding tariffs, which could impact market dynamics [32]. Summary by Sections Non-Ferrous Metals - The non-ferrous metals sector has experienced a general increase in prices, with specific attention to gold, copper, and aluminum [12]. - The report notes that the COMEX gold average price for April was $3,236 per ounce, with a high of $3,510 and a low of $2,970, which may serve as future price support levels [32]. Industrial Metals - Copper: The global copper inventory stands at 581,000 tons, with a slight decrease of 1,000 tons week-on-week. The supply side is under pressure due to tightening raw material availability, while demand remains resilient with a 24.8% year-on-year increase in power grid investment [2]. - Aluminum: The theoretical operating capacity of the electrolytic aluminum industry is stable at 43.835 million tons, with mixed signals in production adjustments across different regions [2]. Energy Metals - Lithium: The report indicates a 27% month-on-month increase in lithium carbonate production, with a total output of 18,300 tons. The demand for electric vehicles is also rising, with a 37% year-on-year increase in sales [3]. - Metal Silicon: The report highlights high inventory levels and weak demand, leading to a challenging price environment for metal silicon [3]. Key Stocks - The report recommends several stocks for investment, including Zijin Mining, Shandong Gold, and Chalco, among others, based on their performance and market positioning [7].

证券研究报告 | 行业周报 gszqdatemark 2025 05 11 年 月 日 建筑装饰 基金经理薪酬与基准强挂钩下，建筑板块哪些标的有望获增配？ 本周核心观点：本周证监会发布《推动公募基金高质量发展行动方案》，着 力推动基金公司从"重规模"向"重回报"转变，其中规定公募基金经理 薪酬与基准强挂钩，预计主动权益类基金经理为了避免产品业绩低于基准 过多而对绩效薪酬产生较大负面影响，将尽可能让持仓结构贴近基准，持 仓结构变化有望带来市场结构性投资机会。基于基金 2024 年报数据，有 4020 个主动权益基金基准中包含沪深 300 指数，这些基金的基准中沪深 300 指数平均权重 61%。我们假设主动权益类基金按照规模的 90%去配 置基准（假设后续基准不变），则合计将配置沪深 300 指数 1.65 万亿元， 而主动权益类基金合计持有沪深 300 成份股市值 1.34 万亿元，因此可测 算后续主动权益类基金需增配沪深 300 指数 3036 亿元。主动权益类基 金对建筑板块持股比例为 0.71%，显著欠配，如后续主动权益基金规模的 90%按照基准及沪深 300 中建筑板块权重来配置，合计带来建筑板块资金 ...

跌价利空钝化，退潮方现珍珠 行情回顾（2025.5.6~2025.5.9）： 中信煤炭指数 3,191.92 点，上涨 1.47%，跑输沪深 300 指数 0.53pct，位列中信板 块涨跌幅榜第 22 位。 近期，煤炭上市公司的 24 年年报&25 年一季报已披露完毕，我们从另外一个视角 对相关公司财报进行解析，总结如下： 谁是现金王？ ✓ "账面净现金"前 3：神华、陕煤、晋控； ✓ "账面净现金／净利"前 3：晋控、潞安、恒源； 谁的负债低？ ✓ "资产负债率"最低前 3：神华、晋控、电投； ✓ "资本负债率"最低前 3：潞安、晋控、神华； 谁的家底厚？ ✓ "专项储备"绝对额前 3：神华、陕煤、潞安； ✓ "吨煤专项储备"前 3：潞安、淮矿、恒源； 谁的潜力大？ ✓ 利润释放潜力前 3：昊华、伊泰、淮矿； 谁是分红王？ ✓ 近 3 年绝对额前 3：神华、陕煤、兖矿； ✓ 近 3 年比例前 3：冀中、神华、广汇； ✓ 24 年绝对额前 3：神华、陕煤、中煤； ✓ 24 年比例前 3：冀中、广汇、伊泰； ✓ 静态股息率前 3：伊泰、冀中、广汇； 24 年&25Q1 业绩均优于行业水平：电投、新集、神华、中 ...

Investment Rating - The investment rating for the company is "Maintain Buy" [6] Core Views - The company is a leading player in the casting industry, benefiting from the high growth and large-scale development of wind power installations [4] - The company's revenue for 2024 is reported at 4.696 billion yuan, a year-on-year increase of 0.87%, while the net profit attributable to shareholders is 624 million yuan, up 29.55% year-on-year [1][4] - The company is expected to see an increase in shipment volume in 2025 due to the rise in wind power installations, with a projected revenue of 6.333 billion yuan [5] Financial Performance Summary - In 2024, the company achieved a gross margin of 17.34%, a decrease of 1.33 percentage points year-on-year, while the net margin improved to 13.11%, an increase of 2.83 percentage points [1] - The company reported a gross margin of 15.53% in Q1 2025, down 6.24 percentage points year-on-year, with a net margin of 9.03%, down 3.25 percentage points [1] - The company’s net profit for 2025 is projected to be 784 million yuan, with a year-on-year growth rate of 25.7% [5] Market and Product Development Summary - The company is focusing on the development of large-scale wind turbine components, which are expected to enhance efficiency and reduce the cost of electricity generation [3] - The company has established a production capacity of 700,000 tons for casting and 420,000 tons for precision machining, allowing for flexible adjustments in production [2] - The company is expanding its market presence in high-end alloy steel and is actively developing large die-casting machines for the new energy vehicle sector [3] Profit Forecast - The company is expected to achieve net profits of 784 million yuan, 912 million yuan, and 1.048 billion yuan for the years 2025, 2026, and 2027 respectively, with corresponding P/E ratios of 16.3, 14.0, and 12.2 [4]

Quantitative Models and Construction 1. Model Name: Timing Radar Six-Factor Framework - **Model Construction Idea**: The equity market is influenced by multiple dimensions. This model selects 21 indicators from six perspectives: liquidity, economic fundamentals, valuation, capital flows, technical trends, and crowding. These are summarized into four categories: "Valuation Cost-Effectiveness," "Macro Fundamentals," "Capital & Trend," and "Crowding & Reversal," generating a comprehensive timing score within the range of [-1, 1][1][6][8] - **Model Construction Process**: - The 21 indicators are grouped into six dimensions, and their scores are aggregated into four broader categories. - The final timing score is calculated as a weighted average of these categories, normalized to the range of [-1, 1][1][6][8] - **Model Evaluation**: The model provides a comprehensive and multi-dimensional view of market timing, integrating macroeconomic, technical, and sentiment factors[1][6] --- Quantitative Factors and Construction 1. Factor Name: Monetary Direction Factor - **Factor Construction Idea**: This factor aims to determine the direction of monetary policy by analyzing changes in central bank policy rates and short-term market rates over the past 90 days[12] - **Factor Construction Process**: - Calculate the average change in central bank policy rates and short-term market rates over the past 90 days - If the factor value > 0, monetary policy is deemed accommodative; if < 0, it is deemed tight[12] - **Factor Evaluation**: Effectively captures the directional bias of monetary policy[12] 2. Factor Name: Monetary Strength Factor - **Factor Construction Idea**: Based on the "interest rate corridor" concept, this factor measures the deviation of short-term market rates from policy rates[15] - **Factor Construction Process**: - Compute the deviation as: $ \text{Deviation} = \frac{\text{DR007}}{\text{7-Year Reverse Repo Rate}} - 1 $ - Smooth and normalize the deviation using z-scores - Assign scores based on thresholds: <-1.5 SD indicates a loose environment (score = 1), >1.5 SD indicates a tight environment (score = -1)[15] - **Factor Evaluation**: Provides a quantitative measure of liquidity conditions in the short-term market[15] 3. Factor Name: Credit Direction Factor - **Factor Construction Idea**: Measures the transmission of credit from banks to the real economy using long-term loan data[18] - **Factor Construction Process**: - Calculate the year-over-year growth of long-term loans over the past 12 months - Compare the current value to its level three months ago - If the factor is rising, assign a score of 1; if falling, assign a score of -1[18] - **Factor Evaluation**: Captures the directional trend of credit expansion or contraction[18] 4. Factor Name: Credit Strength Factor - **Factor Construction Idea**: Measures whether credit data significantly exceeds or falls short of expectations[20] - **Factor Construction Process**: - Compute the z-score of the difference between actual and expected new RMB loans: $ \text{Credit Strength Factor} = \frac{\text{Actual Loans} - \text{Expected Median}}{\text{Expected Standard Deviation}} $ - Assign scores based on thresholds: >1.5 SD indicates a strong credit environment (score = 1), <-1.5 SD indicates a weak credit environment (score = -1)[20] - **Factor Evaluation**: Quantifies the surprise element in credit data[20] 5. Factor Name: Growth Direction Factor - **Factor Construction Idea**: Based on PMI data, this factor identifies the directional trend of economic growth[21] - **Factor Construction Process**: - Compute the year-over-year change in the 12-month moving average of PMI data - Compare the current value to its level three months ago - If the factor is rising, assign a score of 1; if falling, assign a score of -1[21] - **Factor Evaluation**: Tracks the momentum of economic growth effectively[21] 6. Factor Name: Growth Strength Factor - **Factor Construction Idea**: Measures whether economic growth data significantly exceeds or falls short of expectations[25] - **Factor Construction Process**: - Compute the z-score of the difference between actual and expected PMI values: $ \text{Growth Strength Factor} = \frac{\text{Actual PMI} - \text{Expected Median}}{\text{Expected Standard Deviation}} $ - Assign scores based on thresholds: >1.5 SD indicates strong growth (score = 1), <-1.5 SD indicates weak growth (score = -1)[25] - **Factor Evaluation**: Captures the surprise element in economic growth data[25] 7. Factor Name: Inflation Direction Factor - **Factor Construction Idea**: Reflects the impact of inflation trends on monetary policy and equity markets[26] - **Factor Construction Process**: - Compute the weighted average of smoothed CPI and raw PPI year-over-year changes: $ \text{Inflation Direction Factor} = 0.5 \times \text{CPI} + 0.5 \times \text{PPI} $ - Compare the current value to its level three months ago - If the factor is falling, assign a score of 1; if rising, assign a score of -1[26] - **Factor Evaluation**: Provides insights into the inflationary environment and its implications for monetary policy[26] 8. Factor Name: Inflation Strength Factor - **Factor Construction Idea**: Measures whether inflation data significantly exceeds or falls short of expectations[29] - **Factor Construction Process**: - Compute the z-score of the difference between actual and expected CPI and PPI values: $ \text{Inflation Strength Factor} = \frac{\text{CPI Difference} + \text{PPI Difference}}{2} $ - Assign scores based on thresholds: <-1.5 SD indicates low inflation (score = 1), >1.5 SD indicates high inflation (score = -1)[29] - **Factor Evaluation**: Quantifies the surprise element in inflation data[29] --- Factor Backtesting Results 1. Monetary Direction Factor - Current Score: 1[12] 2. Monetary Strength Factor - Current Score: -1[16] 3. Credit Direction Factor - Current Score: -1[18] 4. Credit Strength Factor - Current Score: 1[20] 5. Growth Direction Factor - Current Score: 1[21] 6. Growth Strength Factor - Current Score: 0[25] 7. Inflation Direction Factor - Current Score: 1[26] 8. Inflation Strength Factor - Current Score: 1[29]

证券研究报告 | 金融工程 gszqdatemark 2025 05 11 年 月 日 量化周报 市场可逢低布局 市场可逢低布局。本周（5.6-5.9），大盘震荡上行，上证指数全周收涨 1.92%。在此背景下，大部分指数迎来了一波 30 分钟级别回调。当下我 们认为，经历了贸易战的冲击后，市场的底部区间已然探明。短期市场到 了选择方向的时候：1、一方面大部分规模指数和行业的的日线级别下跌 只走了 1 浪结构，日线下跌结构不够充分；2、另一方面经历了近期的震 荡上行后，很多指数和板块马上要形成新的日线级别上涨，比如上证 50、 纺服、轻工、汽车等板块。未来，不论哪种情况出现，投资者都可逢低布 局，因为即便是继续日线级别下跌，空间和时间都有限。中期来看，上证 指数、上证 50、沪深 300、中证 500、深证成指、创业板指、科创 50 纷 纷确认周线级别上涨，而且在日线上只走出了 1 浪结构，中期牛市刚刚开 始；此外，已有 21 个行业处于周线级别上涨中，且 8 个行业周线上涨只 走了 1 浪结构，因此我们认为本轮牛市刚刚开始，而且还是个普涨格局。 中期对于投资者而言，仍然可以逆势布局。 A 股景气指数观察。截至 ...

1. Report Industry Investment Rating No relevant content provided. 2. Core View of the Report - The current loose funds have not been fully reflected in the bond market. The bond market is expected to develop from short - term to long - term, with the curve likely to first show a bullish steepening and then a bullish flattening. The overall interest rate downward trend remains unchanged [3][5][24] 3. Summary by Related Content Market Performance - This week, funds were loose, and the short - end trend was significantly stronger than the long - end. After the holiday, the R001 and R007 dropped to 1.52% and 1.58% respectively, driving the short - term interest rates to decline significantly. The 1 - year AAA certificate of deposit (CD) dropped 7.5bps to 1.66% this week. Short - term interest rates and short - term credit also decreased significantly. The 10 - year and 30 - year treasury bonds rose slightly by 1.1bps and 1.9bps to 1.64% and 1.84% respectively [1][8] Reasons for Loose Funds - Seasonally, funds are loose in the first and middle of May. The central bank announced a 0.5 - percentage - point reserve requirement ratio cut this week, releasing about 1 trillion yuan in liquidity. Even if considering the maturity of MLF (125 billion yuan) and repurchase (90 billion yuan) this month and assuming a half - volume continuation, the net capital injection from the reserve requirement ratio cut and repurchase is still over 50 billion yuan. Calculated with the March money multiplier of 8.65, it can support about 4.3 trillion yuan in financing demand. Since the social financing scale in May last year was only 2 trillion yuan, the current loose funds situation will remain until before the end - of - quarter impact [2][9] Impact on the Bond Market Quantity Perspective - As the capital price drops, the spreads between CDs, short - term credit, etc., and funds have turned positive, meaning that leveraging can effectively increase returns. Although the current leverage level has rebounded, it is not significantly higher than previous years. The daily trading volume of inter - bank pledged repurchase on May 9 was about 6.5 trillion yuan, basically the same as the same period last year [3][12] Price Perspective - Short - term interest rates still have room to decline further. The 1 - year CD is expected to drop to around 1.6%. Based on the average spread of about 9.5bps between the 1 - year AAA CD and overnight funds in the past year, if the overnight interest rate stabilizes at around 1.5% and the R007 at around 1.6%, the 1 - year AAA CD rate may be around 1.6%. Currently, the CD rate has dropped to 1.66% [3][13] Short - Term Bond Interest Rates - The 1 - year treasury bond and 1 - year AAA medium - term note are expected to drop to around 1.2% and 1.6% respectively. The spread between the 1 - year AAA CD and the 1 - year treasury bond has narrowed to 24bps, the lowest since 2023. If the spread returns to the average level of about 42bps since 2023, a 1.6% CD rate may correspond to a 1.2% 1 - year treasury bond rate. Credit bonds and CD rates are basically the same, so as the CD rate drops to around 1.6%, the same - maturity high - grade credit bonds are also expected to reach the corresponding level [4][19] Long - Term Bond Interest Rates - The decline in short - term interest rates will protect long - term interest rates and promote a significant recovery in the credit bond curve slope. If the 2 - year treasury bond drops to around 1.2%, combined with the average spread of 44bps between the 10 - year and 2 - year treasury bonds since 2023, the corresponding 10 - year treasury bond will be around 1.64%, indicating limited adjustment pressure on long - term bonds. The decline in short - term bond interest rates will bring better investment opportunities for 3 - 5 - year interest - rate bonds and 3 - 5 - year secondary perpetual bonds. The spread between the 5 - year and 1 - year AAA - secondary capital bonds has rebounded to around 20bps, more than 20bps higher than the low point in February, and the long - end allocation value of secondary perpetual bonds is emerging [4][21] Market Outlook - The bond market is expected to develop from short - term to long - term. The loose funds protect the short - end. The current CD rate is higher than the capital price, allowing leveraging to allocate CDs to increase returns. The spread between CDs and short - term treasury bonds has reached a low in recent years, making short - term treasury bonds more cost - effective than CDs for bank self - operated funds. The market leverage is also expected to gradually recover. The decline in short - term interest rates will increase the term spread, protect long - term interest rates, and enhance the allocation cost - effectiveness of 3 - 5 - year interest - rate bonds and credit bonds, gradually realizing the trend of the bond market first showing a bullish steepening and then a bullish flattening [5][24]