Investment Rating - The report maintains a rating of "Buy" for the MXD6 industry [5] Core Insights - MXD6, a type of crystalline polyamide, has high gas barrier properties and rigidity, making it suitable for various applications, particularly in food and beverage packaging [1][2] - The domestic MXD6 market is expected to grow significantly as local manufacturers ramp up production, breaking the previous monopolies held by foreign companies [4][29] Summary by Sections 1. MXD6 Characteristics - MXD6 is characterized by high gas barrier properties and rigidity, which are enhanced by its molecular structure that includes aromatic rings [1][20] - The production of MXD6 primarily utilizes direct melt polycondensation, which is more efficient and yields higher quality products compared to other methods [17][19] 2. Applications of MXD6 - In the food and beverage packaging sector, MXD6 can significantly extend shelf life and reduce packaging weight, with a projected market size for prepared dishes in China reaching approximately 697.2 billion yuan by 2024 [2][37] - MXD6 is also applicable in automotive, electronics, and aerospace industries due to its lightweight and high mechanical strength, with potential uses in engine components and structural parts [3][52] 3. Domestic Production and Market Potential - Domestic manufacturers like Qicai Chemical and Sinochem International are expanding their production capacities, with Qicai Chemical already achieving 5,000 tons/year and planning for further expansion [4][54] - The global MXD6 production is estimated to reach 30,000 to 40,000 tons by 2024, with significant contributions from domestic players [4] 4. Market Demand and Growth - The report highlights a substantial demand for MXD6 in the carbonated beverage and tea beverage markets, with the total market size for soft drinks in the Greater China region projected to be around 138.4 billion USD by 2024 [43][44] - The anticipated growth in the prepared dishes market and the beverage industry presents a considerable opportunity for MXD6 usage, with potential consumption in the prepared dishes sector alone estimated at 2.9 million tons under optimistic scenarios [42][50]

Quantitative Models and Construction Methods - **Model Name**: PB-ROE-50 **Model Construction Idea**: The model combines Price-to-Book ratio (PB) and Return on Equity (ROE) to select stocks with high profitability and reasonable valuation[3][25] **Model Construction Process**: The PB-ROE-50 portfolio is constructed by selecting 50 stocks with the highest combined scores of PB and ROE within specific stock pools (e.g., CSI 500, CSI 800, and the entire market). The portfolio is rebalanced periodically to maintain its composition[25][26] **Model Evaluation**: The model demonstrates consistent excess returns across different stock pools, indicating its effectiveness in capturing profitable investment opportunities[25][26] - **Model Name**: Institutional Research Portfolio **Model Construction Idea**: The model leverages public and private institutional research data to identify stocks with potential excess returns[28] **Model Construction Process**: The portfolio is constructed based on institutional research data, with public research focusing on CSI 800 stocks and private research tracking broader market stocks. Stocks are selected based on research frequency and sentiment, and the portfolio is rebalanced monthly[28][29] **Model Evaluation**: The model shows positive excess returns, particularly for private research tracking strategies, suggesting its ability to capture valuable insights from institutional activities[28][29] - **Model Name**: Block Trade Portfolio **Model Construction Idea**: The model identifies stocks with high block trade activity and low volatility to capture potential excess returns[31] **Model Construction Process**: Stocks are selected based on "block trade transaction ratio" and "6-day transaction volatility." The portfolio is rebalanced monthly to maintain its focus on high-transaction, low-volatility stocks[31][32] **Model Evaluation**: The model's performance varies, with occasional excess return drawdowns, highlighting the need for careful monitoring and adjustment[31][32] - **Model Name**: Directed Issuance Portfolio **Model Construction Idea**: The model focuses on stocks involved in directed issuance events to capture event-driven investment opportunities[37] **Model Construction Process**: Stocks are selected based on directed issuance announcements, considering factors like market capitalization, rebalancing frequency, and position control. The portfolio is rebalanced periodically to align with event-driven dynamics[37][38] **Model Evaluation**: The model shows mixed results, with occasional excess return drawdowns, indicating the need for further refinement in capturing event-driven effects[37][38] --- Model Backtesting Results - **PB-ROE-50 Model** - CSI 500: Weekly excess return 1.17%, absolute return 1.99%[25][26] - CSI 800: Weekly excess return 1.21%, absolute return 2.58%[25][26] - Entire Market: Weekly excess return 1.36%, absolute return 2.51%[25][26] - **Institutional Research Portfolio** - Public Research: Weekly excess return 0.02%, absolute return 1.37%[28][29] - Private Research: Weekly excess return 0.25%, absolute return 1.61%[28][29] - **Block Trade Portfolio** - Weekly excess return -0.24%, absolute return 0.88%[31][32] - **Directed Issuance Portfolio** - Weekly excess return -0.69%, absolute return 0.43%[37][38] --- Quantitative Factors and Construction Methods - **Factor Name**: BP Factor **Factor Construction Idea**: The factor uses the Book-to-Price ratio to identify undervalued stocks[20] **Factor Construction Process**: BP is calculated as the inverse of the Price-to-Book ratio. Stocks with higher BP values are considered undervalued and selected for portfolios[20] **Factor Evaluation**: BP demonstrates positive returns in multiple industries, indicating its effectiveness in identifying undervalued stocks[23][24] - **Factor Name**: ROE Factor **Factor Construction Idea**: The factor measures profitability using Return on Equity[20] **Factor Construction Process**: ROE is calculated as net income divided by shareholder equity. Stocks with higher ROE values are considered more profitable and selected for portfolios[20] **Factor Evaluation**: ROE shows positive returns across various industries, highlighting its ability to capture profitable investment opportunities[23][24] - **Factor Name**: Nonlinear Market Cap Factor **Factor Construction Idea**: The factor captures the impact of market capitalization on stock returns using a nonlinear approach[20] **Factor Construction Process**: Nonlinear transformations of market capitalization are applied to identify stocks with specific size-related characteristics[20] **Factor Evaluation**: The factor shows negative returns, indicating challenges in capturing size-related effects[20] --- Factor Backtesting Results - **BP Factor** - Weekly return 0.30%[20] - **ROE Factor** - Weekly return 0.27%[20] - **Nonlinear Market Cap Factor** - Weekly return -0.31%[20] - **Scale Factor** - Weekly return -0.29%[20]

Employment Data - In June 2025, the U.S. added 147,000 non-farm jobs, exceeding the expected 110,000 and the revised previous value of 144,000[11] - The unemployment rate fell to 4.1%, lower than the expected 4.3% and previous 4.2%[11] - Average hourly earnings increased by 3.7% year-on-year, below the expected 3.9% and revised previous increase of 3.8%[11] Government vs. Private Sector Employment - Government jobs contributed nearly half of the new employment, with 73,000 jobs added, significantly higher than the previous month's 7,000[15] - Private sector employment weakened, with service sector jobs dropping from 141,000 to 68,000, indicating potential economic pressure from tariff disruptions[18] - Retail sector employment rebounded slightly, adding 2,000 jobs compared to a loss of 7,000 in the previous month[24] Labor Market Dynamics - The labor force participation rate decreased to 62.3%, down from 62.4% in the previous month, with a notable decline in youth employment willingness[27] - The U6 unemployment rate, which includes those working part-time for economic reasons, fell to 7.7% from 7.8%[32] - Permanent unemployment decreased by 29,000, while temporary job losses also declined, suggesting stability in the job market[32] Federal Reserve Outlook - Given the unsustainable rise in government employment and the risk of weakening non-farm data, the probability of the Federal Reserve restarting rate cuts in the second half of 2025 is significant[20] - Market expectations indicate a 60% chance of a rate cut in September 2025, with only a 5.2% chance in July[22]

Group 1: Tax Reform Overview - The tax reform primarily extends existing tax cuts from the 2017 tax reform, with a limited incremental scale of approximately $4.5 trillion over the next ten years, while new tax relief measures amount to only $0.7 trillion[3] - The tax reform focuses on individual tax cuts, with an estimated reduction in tax revenue of about $4.2 trillion for individual taxes compared to $1.1 trillion for corporate taxes over the same period[4] - The U.S. government deficit is projected to increase by approximately $4 trillion over the next decade due to the tax reform, despite potential increases in tariff revenues[5] Group 2: Economic Impact - The tax reform is expected to partially offset the economic pressure from tariffs, potentially alleviating recession expectations in the U.S. economy[2] - The Congressional Budget Office (CBO) estimates that the tax reform could increase U.S. GDP growth by an average of 0.5 percentage points from 2025 to 2034, while tariffs are projected to decrease GDP growth by 0.6 to 0.8 percentage points[14] - The distributional effects of the tax reform indicate that the bottom 10% of low-income households may see a decrease in disposable income by about 2% by 2027, while the top 10% may benefit from an increase[15]

Industry Research - The steel sector is expected to see a recovery in profitability to historical average levels due to the emphasis on regulating low-price competition and promoting the orderly exit of backward production capacity by the Central Financial Committee [1] - The price-to-book (PB) ratio of steel stocks is anticipated to recover alongside profitability, with key recommendations including Liugang Co., Sansteel Minguang, New Steel Co., Shougang Group, Hualing Steel, and Baosteel [1] Company Research - The report on Megmeet Smart (002881.SZ) indicates that AI applications are likely to drive rapid growth in product demand, while the continuous iteration of smart modules and high-performance computing modules is expected to significantly boost the company's performance [2] - The forecast for the company's net profit attributable to shareholders for 2025 and 2026 has been raised to CNY 182 million and CNY 267 million, representing increases of 19% and 41% respectively, with a new forecast for 2027 set at CNY 357 million [2] - The current stock price corresponds to price-to-earnings (PE) ratios of 66, 45, and 34 for the years 2025, 2026, and 2027 respectively, indicating a positive long-term growth outlook [2]

2025 年 7 月 3 日 ——钢铁行业动态点评 要点 事件：（ 1）2025 年 7 月 1 日，中央财经委员会第六次会议，研究纵深推进 全国统一大市场建设、海洋经济高质量发展等问题，会议强调，纵深推进全 国统一大市场建设，要聚焦重点难点，依法依规治理企业低价无序竞争，引 导企业提升产品品质，推动落后产能有序退出；（2）7 月 2 日，Mysteel 关 于"唐山 7 月 4-15 日烧结机限产 30%"的传闻进行调研，了解到目前约半数钢 厂表示有收到通知，剩余多数钢厂也表示大概率确实有。 2025 年国内钢材需求、净出口量或进一步走弱，预计同比减少 0.34 亿吨。（1） 内需：根据冶金工业规划院预测，2025 年我国钢材需求量约为 8.50 亿吨，同比 -1.5%，较 2024 年减少 0.13 亿吨。（2）净出口：2024 年国内钢材净出口量为 1.04 亿吨（占当年粗钢产量的 10.34%），同比+25.78%。2025 年初以来，韩国、 越南对于我国部分钢材出口反倾销政策陆续落地，叠加美国对华钢铁加征关税政 策的影响，我们预测 2025 年钢材净出口或降至 2023 年水平，同比-0.21 亿吨 ...

大行晨報 - 加元短線或可先行獲利 - 2025 年 7 月 3 日星島日報 / 頭條日報 https://www.stheadline.com/columnists/finance- property/3470009/%E5%A4%A7%E8%A1%8C%E6%99%A8%E5%A0%B1- %E5%8A%A0%E5%85%83%E7%9F%AD%E7%B7%9A%E6%88%96%E5%8F%AF%E5%85%88%E8%A1%8C %E7%8D%B2%E5%88%A9%E5%A4%A7%E8%A1%8C%E6%99%A8%E5%A0%B1 ...

Investment Rating - The report maintains a "Buy" rating for the company, indicating a positive outlook for future performance [5]. Core Views - The company adopts a dual-driven product strategy focusing on wireless communication modules and IoT solutions, which creates a competitive advantage through customized solutions for various vertical industries [1]. - The company is committed to high R&D investment, with an allocation of 256 million yuan for 2024, representing 8.69% of revenue, aimed at enhancing product and technological competitiveness [2]. - The company has submitted its application for overseas listing (H shares) to the China Securities Regulatory Commission, indicating plans for expansion and increased market presence [2]. - The company has implemented an incentive plan granting stock options and restricted stocks to key personnel, which may enhance employee motivation and align interests with shareholders [3]. - The forecast for the company's net profit has been revised upwards for 2025 and 2026, with expected profits of 182 million yuan and 267 million yuan respectively, reflecting a strong growth trajectory driven by AI applications and product iterations [3]. Financial Summary - The company’s revenue is projected to grow from 2,147 million yuan in 2023 to 5,556 million yuan in 2027, with a compound annual growth rate (CAGR) of approximately 17.79% [4][7]. - The net profit is expected to increase significantly from 65 million yuan in 2023 to 357 million yuan in 2027, indicating a robust growth rate [4][7]. - The company’s earnings per share (EPS) is forecasted to rise from 0.25 yuan in 2023 to 1.36 yuan in 2027, reflecting improved profitability [4][7]. - The price-to-earnings (P/E) ratio is projected to decrease from 187 in 2023 to 34 in 2027, suggesting a more attractive valuation over time [4][10]. Key Financial Metrics - The gross margin is expected to stabilize around 17.5% to 18.8% from 2025 to 2027, indicating a focus on maintaining profitability despite competitive pressures [9]. - The return on equity (ROE) is projected to improve from 4.4% in 2023 to 15.8% in 2027, reflecting enhanced efficiency in generating profits from equity [9]. - The company’s total assets are anticipated to grow from 2,145 million yuan in 2023 to 3,696 million yuan in 2027, indicating a strengthening balance sheet [8].

Group 1: Market Overview - The coal, float glass, and steel industries are expected to experience negative profit growth year-on-year, while the refining industry maintains stable profitability due to a rebound in oil prices [1] - The overall economic data shows stability, with PMI rolling averages stabilizing and housing sales area declining slightly year-on-year [1] Group 2: Quantitative Analysis - As of June 30, 2025, the proportion of rising stocks in the CSI 300 index increased month-on-month, indicating a high market sentiment with over 60% of stocks rising [2] - Momentum indicators suggest a bullish outlook, with short-term sentiment indicators placing the CSI 300 index in a favorable emotional zone [2] Group 3: Real Estate Sector - In the first half of 2025, the cumulative sales amount of the top 100 real estate companies was CNY 1.8 trillion, with a year-on-year decline of 11.4% [3] - The sales area for the same period was 85.97 million square meters, reflecting a year-on-year decrease of 22.2% [3] - Some leading real estate companies, such as China Jinmao and Yuexiu Property, showed positive sales growth, with increases of 20% and 11% respectively [3] Group 4: Company Research - The report highlights that GoerTek, a leading XR design and manufacturing company, is expected to benefit from the launch of AI glasses by Xiaomi, indicating a positive growth trend in the XR business [4] - The company's market share in XR manufacturing is high, and factors such as the recovery of its headphone business and optimization of its smart hardware product structure are expected to drive revenue growth [4] - The projected PE ratios for GoerTek from 2025 to 2027 are 24X, 20X, and 17X respectively, supporting a "buy" rating for the company [4]

Quantitative Models and Construction Methods 1. Model Name: Coal Industry Profit Forecast Model - **Model Construction Idea**: The model estimates monthly revenue and profit growth rates for the coal industry based on changes in price and capacity factors[10] - **Model Construction Process**: - The pricing mechanism is determined by the last price index of the previous month, which sets the sales price for the next month[10] - The model incorporates price factors and capacity factors to estimate revenue and profit growth rates on a monthly basis[10] - **Model Evaluation**: The model provides a systematic approach to track and predict industry profitability trends, but no significant improvement signals were observed for July 2025[13] 2. Model Name: Hog Supply-Demand Gap Estimation Model - **Model Construction Idea**: The model leverages the stable proportional relationship between hog slaughter and sow inventory lagged by six months to estimate future supply-demand gaps[14] - **Model Construction Process**: - The slaughter coefficient is calculated as: $ \text{Slaughter Coefficient} = \text{Quarterly Hog Slaughter} / \text{Sow Inventory (Lagged 6 Months)} $[14] - Future potential supply is estimated as: $ \text{6-Month Potential Supply} = \text{Current Sow Inventory} \times \text{Slaughter Coefficient (6 Months Ago)} $[15] - Future demand is projected based on historical quarterly slaughter data[15] - **Model Evaluation**: Historical data shows that this method effectively identifies hog price upward cycles[15] 3. Model Name: Steel Industry Profit Forecast Model - **Model Construction Idea**: The model predicts monthly profit growth rates and calculates per-ton profit for the steel industry by considering steel prices and raw material costs[17] - **Model Construction Process**: - The model integrates steel prices with the costs of raw materials such as iron ore, coke, pulverized coal, and scrap steel to estimate profit growth rates[17] - **Model Evaluation**: The model highlights the industry's profit trends but indicates a negative profit growth rate for June 2025[21] 4. Model Name: Glass and Cement Industry Profitability Tracking Model - **Model Construction Idea**: The model tracks profitability changes in the glass and cement industries using price and cost indicators, and designs allocation signals based on these changes[23] - **Model Construction Process**: - For the glass industry, the model calculates gross profit based on price and cost data[27] - For the cement industry, the model incorporates coal fuel price changes to predict profit growth rates[27] - **Model Evaluation**: The model effectively tracks profitability trends but maintains a neutral signal for both industries due to the lack of significant positive indicators[27] 5. Model Name: Refining and Oilfield Services Profitability Model - **Model Construction Idea**: The model estimates profit growth rates and cracking spreads for the refining industry based on changes in fuel prices, crude oil prices, and new drilling activity[28] - **Model Construction Process**: - The model uses variations in fuel and crude oil prices to calculate profit growth rates and cracking spreads[28] - Allocation signals are designed based on observed changes in oil prices, cracking spreads, and new drilling activity[28] - **Model Evaluation**: The model predicts stable profit growth for June 2025 but maintains a neutral signal due to the lack of significant upward trends in oil prices and drilling activity[35][38] --- Backtesting Results of Models 1. Coal Industry Profit Forecast Model - **Excess Return**: The model tracks the historical excess return of the coal industry relative to the Wind All-A Index, showing a declining profit trend for July 2025[13] 2. Hog Supply-Demand Gap Estimation Model - **Supply-Demand Balance**: The model predicts a balanced supply-demand scenario for Q4 2025, with potential supply at 18,226 million heads and demand at 18,244 million heads[16] 3. Steel Industry Profit Forecast Model - **Profit Growth**: The model forecasts a negative profit growth rate for June 2025, with no significant improvement in PMI rolling averages[21] 4. Glass and Cement Industry Profitability Tracking Model - **Glass Industry**: Gross profit for float glass continues to decline year-on-year as of June 2025[27] - **Cement Industry**: Profit growth is predicted to be positive for June 2025, driven by lower coal fuel prices[27] 5. Refining and Oilfield Services Profitability Model - **Profit Growth**: The model predicts stable profit growth for the refining industry in June 2025, with oil prices and new drilling activity showing no significant upward trends[35][38]