证券研究报告 | 2025年12月13日 港股市场创新高热点板块跟踪 我们根据分析师关注度、股价相对强弱、股价路径平稳性、创新高连续性等 角度在过去 20 个交易日创出过 250 日新高的股票池中筛选出平稳创新高股 票。 近期，绿源集团控股等股票平稳创出新高。 按照板块来看，创新高股票数量最多的是周期板块，其次为消费、科技、制 造、大金融和医药板块，具体个股信息可参照正文。 港股市场一周回顾 本年，港股精选组合绝对收益 59.33%，相对恒生指数超额收益 29.83%。 港股精选组合绩效回顾 本周，港股精选组合绝对收益-1.94%，相对恒生指数超额收益-1.53%。 港股投资周报 能源板块领跌，港股精选组合年内上涨 59.33% 概念板块方面，本周电力设备概念板块收益最高，累计收益 9.19%；婴童概 念板块收益最低，累计收益-7.14%。 南向资金监控 南向资金整体方面，本周港股通累计净流出 34 亿港元，近一个月以来港股 通累计净流入 757 亿港元，今年以来港股通累计净流入 13898 亿港元，总 体来看近期南向资金呈现出整体流入的走势。 本周港股通资金中，小米集团-W、招商银行和零跑汽车流入金额最多， ...

- The report does not contain any quantitative models or factors for analysis[1][2][3]

- The report tracks the performance of Guosen Financial Engineering's index enhancement portfolios, which are constructed based on multi-factor stock selection models targeting benchmarks such as CSI 300, CSI 500, CSI 1000, and CSI A500 indices[10][11][13] - The construction process of the index enhancement portfolios includes three main components: return prediction, risk control, and portfolio optimization[11] - The report monitors the performance of common stock selection factors across different stock selection spaces, including CSI 300, CSI 500, CSI 1000, CSI A500, and public fund heavy-holding indices, using single-factor Maximized Factor Exposure (MFE) portfolios[10][14][39] - The MFE portfolio construction process involves optimizing the portfolio to maximize single-factor exposure while controlling for constraints such as industry exposure, style exposure, stock weight deviation, component stock weight ratio, and turnover rate[39][40][41] - The optimization model for MFE portfolios is expressed as follows: $\begin{array}{ll}max&f^{T}\ w\\ s.t.&s_{l}\leq X(w-w_{b})\leq s_{h}\\ &h_{l}\leq H(w-w_{b})\leq h_{h}\\ &w_{l}\leq w-w_{b}\leq w_{h}\\ &b_{l}\leq B_{b}w\leq b_{h}\\ &\mathbf{0}\leq w\leq l\\ &\mathbf{1}^{T}\ w=1\end{array}$ where `f` represents factor values, `w` is the stock weight vector, and constraints include style exposure (`X`), industry exposure (`H`), stock weight deviation (`w`), component stock weight ratio (`B_b`), and turnover limits[39][40] - The report highlights the performance of various factors in different stock selection spaces, such as CSI 300, CSI 500, CSI 1000, CSI A500, and public fund heavy-holding indices, with factors like "3-month earnings revisions," "standardized unexpected earnings," and "single-quarter ROE" showing strong performance in certain spaces[17][19][21][23][26] - Public fund index enhancement products are tracked, including CSI 300, CSI 500, CSI 1000, and CSI A500 enhancement products, with their excess returns analyzed over different time periods[27][31][33][35][38]

Quantitative Models and Construction Methods 1. Model Name: 250-Day New High Distance Model - **Model Construction Idea**: The model tracks the distance of stock prices or indices from their 250-day high to identify market trends and hotspots. It is based on the momentum and trend-following strategy, which has been proven effective in various studies[11][18]. - **Model Construction Process**: The 250-day new high distance is calculated as follows: $ 250\text{-day new high distance} = 1 - \frac{Close_t}{\text{ts\_max}(Close, 250)} $ Where: - $ Close_t $ is the latest closing price - $ \text{ts\_max}(Close, 250) $ is the maximum closing price over the past 250 trading days If the latest closing price reaches a new high, the distance is 0. If the price has fallen from the high, the distance is a positive value, indicating the degree of decline[11]. - **Model Evaluation**: The model effectively identifies stocks and indices that are leading the market, providing insights into market trends and potential investment opportunities[11][18]. 2. Model Name: Stable New High Stock Selection Model - **Model Construction Idea**: This model focuses on selecting stocks that exhibit stable momentum characteristics, avoiding extreme price jumps. It incorporates factors such as analyst attention, price stability, and trend continuation to identify stocks with strong and consistent performance[26][28]. - **Model Construction Process**: The selection process involves the following steps: 1. **Analyst Attention**: Stocks must have at least five "Buy" or "Overweight" ratings in the past three months. 2. **Relative Strength**: Stocks must rank in the top 20% of the market in terms of 250-day price performance. 3. **Price Stability**: Stocks are scored based on: - **Price Path Smoothness**: Measured by the ratio of price displacement to the total price path. - **Momentum Continuity**: The average 250-day new high distance over the past 120 days. 4. **Trend Continuation**: The average 250-day new high distance over the past five days is calculated, and the top 50 stocks are selected based on these criteria[26][28]. - **Model Evaluation**: The model emphasizes stable momentum and avoids stocks with erratic price movements, making it suitable for identifying consistent performers[26][28]. --- Model Backtesting Results 1. 250-Day New High Distance Model - **Indices' 250-Day New High Distance**: - Shanghai Composite Index: 3.48% - Shenzhen Component Index: 3.40% - CSI 300: 3.52% - CSI 500: 5.02% - CSI 1000: 3.62% - CSI 2000: 2.46% - ChiNext Index: 3.91% - STAR 50 Index: 12.36%[12][13][33] 2. Stable New High Stock Selection Model - **Selected Stocks**: 44 stocks were identified as stable new high performers, including Zhongji Xuchuang, Guangku Technology, and Yuanjie Technology. - **Sector Distribution**: - Cyclical and technology sectors had the highest number of selected stocks, with 16 stocks each. - Within the cyclical sector, the non-ferrous metals industry had the most stocks. - Within the technology sector, the electronics industry had the most stocks[29][34]. --- Quantitative Factors and Construction Methods 1. Factor Name: 250-Day New High Distance - **Factor Construction Idea**: Measures the relative position of a stock's or index's price compared to its 250-day high, serving as a momentum indicator[11]. - **Factor Construction Process**: $ 250\text{-day new high distance} = 1 - \frac{Close_t}{\text{ts\_max}(Close, 250)} $ Where: - $ Close_t $ is the latest closing price - $ \text{ts\_max}(Close, 250) $ is the maximum closing price over the past 250 trading days[11]. - **Factor Evaluation**: The factor is effective in identifying leading stocks and indices, providing a clear signal of market momentum[11][18]. 2. Factor Name: Price Path Smoothness - **Factor Construction Idea**: Evaluates the stability of a stock's price movement over time, favoring stocks with smoother price paths[26]. - **Factor Construction Process**: - Calculate the ratio of price displacement to the total price path over a specified period. - Higher scores indicate smoother price paths, which are preferred for stable momentum strategies[26]. - **Factor Evaluation**: This factor helps avoid stocks with erratic price movements, improving the reliability of momentum-based strategies[26]. --- Factor Backtesting Results 1. 250-Day New High Distance Factor - **Indices' 250-Day New High Distance**: - Shanghai Composite Index: 3.48% - Shenzhen Component Index: 3.40% - CSI 300: 3.52% - CSI 500: 5.02% - CSI 1000: 3.62% - CSI 2000: 2.46% - ChiNext Index: 3.91% - STAR 50 Index: 12.36%[12][13][33] 2. Price Path Smoothness Factor - **Selected Stocks**: 44 stocks were identified as stable new high performers, including Zhongji Xuchuang, Guangku Technology, and Yuanjie Technology. - **Sector Distribution**: - Cyclical and technology sectors had the highest number of selected stocks, with 16 stocks each. - Within the cyclical sector, the non-ferrous metals industry had the most stocks. - Within the technology sector, the electronics industry had the most stocks[29][34].

1. Report Industry Investment Rating No relevant content provided. 2. Core Viewpoints - The arbitrage strategy of treasury bond futures can provide a "safety cushion" for "fixed - income +" products, with its return source being the locked spot - futures price difference. The return is less correlated with the rise and fall of the bond market and more dependent on short - term market pricing inefficiencies [1][17]. - Treasury bond futures have multiple functions in "fixed - income +" products, including hedging interest rate risk, adjusting portfolio duration, liquidity management, and conducting spot - futures arbitrage [15]. 3. Summary According to the Table of Contents 3.1 IRR Formula - The IRR formula is calculated based on the assumption of "no operation during the arbitrage period, only buying the spot bond and short - selling the futures at the beginning and finally conducting delivery". The factors affecting IRR are the spot bond price, futures price, and the time to the delivery date. As the delivery date approaches, the impact of the spot - futures price difference on IRR is magnified, causing IRR to fluctuate more sharply [19][20]. 3.2 Underlying Logic of Positive Arbitrage Returns - Conducting positive arbitrage is equivalent to holding a bond with a remaining maturity of T and a yield to maturity of IRR. Fluctuations in IRR during the holding period will affect the value of the arbitrage portfolio [21]. 3.3 Three Typical Scenarios of Positive Arbitrage Strategies - **Scenario 1: No change in CTD bond from position - building to delivery** - The return of positive arbitrage is the IRR of the CTD bond on the position - building day minus the funding cost [2][24]. - **Scenario 2: Change in CTD bond during the period from position - building to delivery** - Investors can earn additional option value by trading the new CTD bond. The comprehensive return after the operation can be calculated by splitting the trading of CTD bonds into two steps [24][25]. - **Scenario 3: IRR drops to 0 or negative during the period from position - building to delivery** - Investors can close the position early to obtain positive arbitrage returns [2][26]. 3.4 Empirical Results of the Three Scenarios - **No CTD bond switch during the period, positive arbitrage portfolio held until delivery** - Taking the TF2509 contract as an example, most of the time there are no positive arbitrage opportunities, and the probability of positive arbitrage returns being lower than 0.4% is relatively high [27][31]. - **CTD bond switch occurs during the period, positive arbitrage portfolio held until delivery** - Taking the TF2303 contract as an example, when the bond yield fluctuates around 3%, CTD bond switching is more frequent. The positive arbitrage portfolio can obtain both IRR returns and the option value of CTD switching. The overall positive arbitrage operation return is likely to be higher than 3%, and the return mainly comes from the option value [32][44]. - **Cash in the returns when the IRR of CTD turns negative** - Taking the TF2303 contract as an example, the return distribution of positive arbitrage with early closing is mostly between 1% - 3%, which is less effective than holding until delivery. Although early closing can lock in future returns and has a lower time cost, it also means losing the future conversion option value [47][49]. 3.5 Historical Return Back - testing of Treasury Bond Futures Positive Arbitrage Strategy without Considering CTD Switching - The probabilities of positive arbitrage opportunities for 2 - year, 5 - year, 10 - year, and 30 - year treasury bond futures are 55%, 38%, 36%, and 43% respectively. The average positive arbitrage returns are 0.39%, 0.64%, 0.59%, and 0.86% respectively, and there is an 85% probability that the positive arbitrage returns are lower than 0.75%, 1.15%, 1.1%, and 1.5% respectively [53][54][55][60].

Investment Rating - The report rates the pesticide industry as "Outperform the Market" [1][5] Core Insights - The Chinese pesticide industry is expected to transition from "Me too" to "Me better" in terms of innovation and product development [1][2] - The global pesticide market is projected to reach approximately $77.2 billion in 2024, with a compound annual growth rate (CAGR) of 2.35% over the next decade [1][13] - Non-patented pesticides dominate the market, accounting for 93% of the global pesticide market share, while patented pesticides hold only 7% [1][14] Summary by Sections Pesticide Market Overview - The global pesticide market is expected to be approximately $77.2 billion in 2024, with agricultural pesticides making up $70.1 billion and non-agricultural pesticides $7.1 billion [1][13] - The market share of herbicides, fungicides, and insecticides in the global crop protection market is 47.20%, 24.96%, and 24.97% respectively [1][13] New Pesticide Development Challenges - The difficulty of developing new pesticides has increased significantly, with the average cost of bringing a new pesticide to market now around $300 million and taking approximately 12 years [1][45] - The number of new active ingredients introduced globally every decade has decreased, indicating a growing challenge in pesticide innovation [1][43] China's Pesticide Industry Strength - China has become the world's largest pesticide producer and exporter, with nearly 70% of global active ingredient production and 90% of its production being exported [2][2] - From 2020 to 2024, China accounted for 51.61% of the new pesticides developed globally, establishing itself as a key player in pesticide innovation [2][2] Investment Recommendations - The report recommends focusing on domestic pesticide companies that are actively advancing new pesticide development, including: - Yangnong Chemical: Holds 12 new pesticides with complete independent intellectual property rights [3][4] - Lier Chemical: Promoting patented plant immune activator [3][4] - Limin Chemical: Collaborating with BASF to apply AI in pesticide development [3][4] - Jiangshan Chemical: Preparing for the industrialization of a new herbicide [3][4] Key Company Profit Forecasts - Yangnong Chemical: Rated "Outperform the Market" with an estimated EPS of 3.33 in 2025 and a PE ratio of 19.7 [4] - Lier Chemical: Rated "Outperform the Market" with an estimated EPS of 0.62 in 2025 and a PE ratio of 21.0 [4] - Limin Chemical: Rated "Outperform the Market" with an estimated EPS of 1.26 in 2025 and a PE ratio of 12.7 [4] - Jiangshan Chemical: Rated "Outperform the Market" with an estimated EPS of 1.41 in 2025 and a PE ratio of 16.1 [4]

Investment Rating - The report assigns an "Outperform" rating to the company for the first time, with a fair value range of 36.73 to 43.21 CNY per share, indicating a 22% premium over the current stock price of 35.35 CNY [5][3]. Core Insights - The company is a leading player in the phosphate chemical industry in China, leveraging high-quality phosphate rock resources to establish a strong competitive advantage. It has a comprehensive industrial chain that integrates mining and processing [13][19]. - The company has a total designed production capacity of 510,000 tons per year for feed-grade dicalcium phosphate, making it the largest producer globally. The supply-demand balance in the industry is tightening, with product prices expected to stabilize and gradually increase from 2023 onwards [2][38]. - The company is also focusing on high-purity ammonium phosphate for fire safety applications, benefiting from stringent national fire safety standards and high added value [2][38]. - The demand for phosphate rock is expected to increase due to the growth of the energy storage sector, with significant increases in global battery shipments projected from 2025 to 2027 [2][38]. Financial Forecast and Valuation - The company is projected to achieve net profits of 1.313 billion CNY, 1.526 billion CNY, and 1.755 billion CNY for the years 2025, 2026, and 2027, respectively. The corresponding earnings per share are expected to be 2.16 CNY, 2.51 CNY, and 2.89 CNY [3][4]. - The report anticipates a steady increase in revenue, with total revenue expected to reach 7.45 billion CNY in 2025, reflecting a 26.1% year-on-year growth [4][3]. - The company's EBIT margin is projected to improve from 23.5% in 2025 to 27.5% in 2027, indicating enhanced profitability [4][3]. Industry Overview - The phosphate chemical industry in China is characterized by high resource barriers and strong supply constraints, with the company positioned to benefit from these dynamics [3][19]. - The company has developed a complete product system covering five major sectors, including basic raw materials, new energy materials, and traditional feed additives, which supports its strategic transition towards diversified markets [19][20]. - The company has been actively expanding its international market presence, with international sales increasing from 373 million CNY in 2017 to 1.845 billion CNY in 2024, reflecting its growing operational capabilities [22][20].

证券研究报告 | 2025年12月12日 **Acknowledgement** **The authors thank the anonymous referee for the help and comments on the manuscript.** 见微知著：利用创新高个股进行市场监测：截至 2025 年 12 月 12 日，共 746 只股票在过去 20 个交易日间创出 250 日新高。其中创新高个股数量最多的 是基础化工、机械、电子行业，创新高个股数量占比最高的是有色金属、纺 织服装、农林牧渔行业。按照板块分布来看，本周制造、周期板块创新高股 票数量最多；按照指数分布来看，中证 2000、中证 1000、中证 500、沪深 300、创业板指、科创 50 指数中创新高个股数量占指数成份股个数比例分别 为：14.45%、13.10%、10.20%、12.33%、10.00%、0.00%。 平稳创新高股票跟踪：我们根据分析师关注度、股价相对强弱、趋势延续性、 股价路径平稳性、创新高持续性等角度，本周从全市场创新高股票中筛选出 了包含中际旭创、光库科技、源杰科技等 44 只平稳创新高的股票。按照板 块来 ...

证券研究报告 | 2025年12月12日 | 晨会纪要 | | --- | | 数据日期:2025-12-11 | 上证综指 | 深证成指沪深 | 300 指数 | 中小板综指 | 创业板综指 | 科创 50 | | --- | --- | --- | --- | --- | --- | --- | | 收盘指数（点） | 3873.31 | 13147.38 | 4552.18 | 13968.17 | 3831.12 | 1325.83 | | 涨跌幅度（%） | -0.69 | -1.26 | -0.86 | -1.42 | -1.49 | -1.54 | | 成交金额（亿元） | 7643.50 | 10927.62 | 4324.31 | 3540.74 | 5132.25 | 532.40 | 【常规内容】 宏观与策略 策略快评:AI 赋能资产配置（三十一）-对冲基金怎么用 AI 做投资 策略快评:AI 赋能资产配置（三十）-投研效率革命已至，但 AI 边界在 哪？ 行业与公司 化工行业快评:2026 年度制冷剂配额核发公示点评-2026 年制冷剂配额 公示，年底配额调整幅度较小 食品饮料行业 2 ...

- The report does not contain any quantitative models or factors for analysis[1][2][3]