Group 1 - In May 2025, the company sold 58,400 pigs, representing a month-on-month decrease of 10.41% and a year-on-year decrease of 9.52% [2] - The sales revenue for May 2025 was 100.45 million yuan, which is a month-on-month decrease of 19.60% and a year-on-year decrease of 11.45% [2] - From January to May 2025, the company sold a total of 266,400 pigs, showing a year-on-year decrease of 17.88%, with cumulative sales revenue of 517.60 million yuan, down 2.18% year-on-year [2] Group 2 - The disclosed data only includes the company's pig farming sales and does not cover other business segments [3] - The company highlights that significant fluctuations in pig market prices can have a major impact on its operational performance [3]

大畜牧养殖板块迎来景气共振 20250611 摘要 节后猪价持续偏强，虽整体供应有所增长但未达极端过剩，仔猪流行性 腹泻导致阶段性供应下滑，补栏意愿强烈推高仔猪价格，近期育肥猪和 仔猪价格开始回落，主要因腹泻影响减弱供应恢复。 政策层面通过限制二次育肥和母猪产能扩张稳定生猪市场价格，避免短 期内价格剧烈波动。截至 4 月底能繁母猪存栏量同比增长 1.3%，表明 行业产能偏多，国家希望通过政策干预调节产能，维持价格在合理区间。 国家对生猪市场的政策干预分阶段进行，包括谈话窗口指导和限制贷款 等实质性政策实施，旨在保持生猪市场稳定，避免短期内出现暴涨暴跌 情况。 牛养殖板块也存在较大的投资和布局机会，在未来一段时间内，生猪和 生牛养殖板块都有良好的发展前景，可以带来可观的投资回报。 2017 年环保严查对南方水域养殖猪场进行强制产能出清，未来若通过 环保严查或贷款限制等政策，使猪价长期维持在 14 到 16 元之间，整个 行业将受到显著影响。 Q&A 今年生猪市场的基本面情况如何？ 今年（2025 年）生猪市场的基本面表现较为坚挺，尤其是在上半年。首先， 过年之后行业产能压力不大，生猪出栏供应压力较小。节前预判到 ...

Core Viewpoint - The livestock farming sector is experiencing a positive trend, with the China Livestock Farming Index showing a strong increase, driven by key stocks like Muyuan Foods and others, despite ongoing challenges in the market due to fluctuating pig prices and inventory pressures [1][2]. Group 1: Market Performance - As of June 11, 2025, the China Livestock Farming Index (930707) rose by 1.06%, with major stocks such as Shennong Group increasing by 6.69% and Muyuan Foods by 4.08% [1]. - The Livestock ETF (516760) also saw a rise of 1.08%, closing at 0.65 yuan, with a two-week cumulative increase of 2.54% [1]. - The trading volume for the Livestock ETF was 215.17 million yuan, with a turnover rate of 1.64% [1]. Group 2: Company Insights - Muyuan Foods reported a significant increase in pig output from January to April, with production costs improving to 12.4 yuan per kilogram by April [2]. - The company has submitted an application for H-share issuance, which may enhance its global market presence [2]. - Despite a downward trend in pig prices, the industry remains profitable, supported by Muyuan's cost advantages and improved profit margins [2]. Group 3: Valuation Metrics - The Livestock ETF tracks the China Livestock Farming Index, which has a current price-to-earnings ratio (PE-TTM) of 12.89, indicating it is at a historical low compared to the past year [4]. - The top ten weighted stocks in the index account for 68.9% of its total weight, with companies like Haida Group and Muyuan Foods being significant contributors [4]. Group 4: Stock Performance Overview - The performance of the top ten stocks in the Livestock ETF shows varied results, with Haida Group declining by 2.09% while Muyuan Foods increased by 4.09% [6]. - Other notable performers include Wens Foodstuff Group, which rose by 3.05%, and New Hope, which increased by 1.57% [6].

Investment Rating - The industry investment rating is "Outperform the Market" and is maintained [2][39]. Core Viewpoints - The agricultural sector has shown a slight rebound, with the agricultural index rising by 0.91%, ranking 20th among 31 primary industries [12][13]. - The pig market is characterized by strong supply and weak demand, leading to a continuous decline in prices. As of June 8, 2025, the average price of pigs was 14.17 CNY/kg, down 0.64% from the previous week [6][16]. - The profitability of self-breeding pigs has decreased, with average profits around 33 CNY per head, while external piglets are facing losses of 121 CNY per head [17][20]. - The white feather chicken market is experiencing stable yet slight adjustments in prices, with chick prices at 2.90 CNY per chick and meat chicken prices at 3.60 CNY per jin [30][31]. Summary by Sections Market Review - The agricultural sector index increased by 0.91%, with the pig farming and animal vaccine sectors experiencing significant adjustments [12][13]. Livestock Industry Chain Tracking Pigs - The pig price is expected to continue its downward trend due to strong supply and weak demand. The supply of pigs is anticipated to increase in the second half of 2025 [6][19]. - The current breeding stock remains stable, with the number of breeding sows fluctuating between 40 million and 41 million, indicating controlled supply growth [19][20]. - Cost competition is expected to be a key focus in 2025, with recommendations to prioritize companies with cost advantages [20]. White Feather Chicken - The chick price has slightly decreased, and the market is currently stable with sufficient supply across the industry [30][31]. - Concerns regarding imported breeds have eased, presenting opportunities for domestic breeding companies [30]. Planting Industry Chain Tracking - Sugar prices have adjusted downwards, while soybean prices have seen a slight increase. Cotton prices have shown minor fluctuations, and corn prices have experienced slight increases [33][36].

Core Insights - The article highlights a transformation in the traditional livestock industry in Dongkang Village, Longnan City, Jiangxi Province, through the introduction of high-tech farming practices at the Babali Ranch, utilizing 5G, IoT, and big data for smart farming [1][2] Group 1: Technological Innovation - Babali Ranch employs advanced technologies such as smart disinfection systems, climate control devices, and hidden speakers to enhance the living conditions of cattle, promoting a "smart life" for the livestock [1] - The ranch integrates scientific guidance from experts at South China Agricultural University to monitor and improve cattle growth through remote technology [2] Group 2: Economic Impact - The ranch has transformed previously idle land into productive agricultural space, generating an annual profit of 170,000 yuan for the village collective [2] - The "company + village collective + farmers" model allows the ranch to provide over 50 job opportunities in the surrounding villages, with an average annual income increase of 20,000 to 30,000 yuan per person [2] Group 3: Community Development - Babali Ranch supports local farmers by providing calves for breeding high-quality beef cattle and guarantees buyback prices, alleviating farmers' concerns [2] - The local government is committed to facilitating the rapid approval and implementation of the ranch's projects, contributing to the overall rural revitalization efforts in Longnan City [2]

Core Viewpoint - The recent surge in popularity of Labubu, a brand under Pop Mart, has significantly boosted the company's stock price, reflecting the potential of the trendy toy industry and the market's recognition of quality IP and innovative business models [2][11]. Group 1: Company Performance - Pop Mart's revenue for 2024 reached 13.04 billion yuan, marking a year-on-year growth of 106.9%, while the profit attributable to shareholders was 3.125 billion yuan, up 188.8% [11]. - The IP THEMONSTERS, which includes Labubu, generated revenue of 3.04 billion yuan, showing a staggering growth of 726.6%, making it the top revenue-generating IP for Pop Mart [11]. - The stock price of Pop Mart has increased over 12 times since the beginning of 2024, with a total market capitalization of 336.8 billion HKD [7][11]. Group 2: Founder and Wealth Status - Wang Ning, the founder of Pop Mart, has seen his net worth rise to approximately 20.3 billion USD (about 146.7 billion yuan), making him the new richest person in Henan province, surpassing Qin Yinglin of Muyuan Foods [4][5]. - Wang Ning's shareholding in Pop Mart is 48.72%, translating to a market value of approximately 163.55 billion HKD (about 149.75 billion yuan) [9][11]. Group 3: Market Trends and Future Outlook - The explosive popularity of Labubu has led to some limited edition figures being sold for tens of thousands of yuan, indicating a strong demand in the market [2][11]. - The ongoing success of Pop Mart and its IPs highlights the significant potential within the trendy toy sector, warranting continued market attention [11].

Group 1 - The core viewpoint indicates that the pig farming industry is experiencing a short-term decline in pig prices due to accelerated weight reduction and increased slaughtering, but this is expected to lead to a price rebound around mid-June 2025 as supply contracts and inventory levels drop [1] - The China Livestock Breeding Index (930707) has shown positive performance with key stocks such as Shennong Group (605296) rising by 4.67%, Wens Foodstuff Group (300498) by 4.64%, and Muyuan Foods (002714) by 4.18% [1] - According to Everbright Securities, the industry capacity cycle has bottomed out, and the current high inventory levels are expected to decline, which may trigger a long-term profit uptrend in the sector after the inventory reduction phase ends [1] Group 2 - The Livestock ETF (159867) has increased by 1.31%, with the latest price reported at 0.62 yuan, reflecting the overall performance of the livestock breeding sector [1] - The China Livestock Breeding Index is designed to track the performance of listed companies involved in livestock feed, veterinary drugs, and livestock farming, with the top ten weighted stocks accounting for 68.9% of the index [2] - The top ten weighted stocks in the index include Haida Group (002311), Muyuan Foods (002714), Wens Foodstuff Group (300498), and others, indicating a concentrated market structure [2]

Group 1: Pork Market - The average price of external three yuan pigs in China decreased to 14.05 yuan/kg, a week-on-week decline of 2.90% [2] - The average price of 15 kg piglets fell to 34.51 yuan/kg, down 2.38% week-on-week [2] - The market sentiment is weak due to sluggish post-holiday consumption demand and low demand for large pigs, leading to a continued strong supply and weak demand scenario [2] Group 2: Poultry Market - The price of white feather broilers is 7.32 yuan/kg, down 0.68% week-on-week, while chick prices are at 2.84 yuan/bird, a decrease of 1.05% [3] - The increase in frozen chicken inventory has reduced the purchasing enthusiasm of slaughter enterprises, resulting in a weak price for broilers [3] - The decline in broiler prices, combined with high summer temperatures, has led to a slowdown in orders for chicks [3] Group 3: Agricultural Products - The average spot price of corn increased to 2387.84 yuan/ton, a rise of 0.34% week-on-week, while soybean meal and wheat prices fell by 1.50% and 0.86%, respectively [4] - The supply of corn is tight in North China, but the new wheat harvest is putting pressure on the corn market [4] - The soybean meal supply is ample due to high production expectations from Argentina and the end of the Brazilian soybean harvest [4] Group 4: Natural Rubber Market - The domestic natural rubber futures price is 13695 yuan/ton, reflecting a week-on-week decrease of 1.05% [5] - Supply disruptions due to weather conditions are expected to recover, but the overall market sentiment remains weak due to limited demand growth [5] - The production capacity utilization rate of tire companies is lower than the same period last year, indicating weak demand [5]

Market Performance - The Shanghai Composite Index rose by 0.23% to 3384.10 points, marking a three-day increase [1] - The Shenzhen Component Index increased by 0.58% to 10203.50 points, also achieving three consecutive days of gains [1] - The ChiNext Index saw a rise of 1.17% to 2048.62 points, continuing its three-day upward trend [1] - Total trading volume in the two markets reached 1.29 trillion yuan, exceeding 1 trillion yuan for six consecutive days [1] Sector Performance - The components sector performed notably well, surging by 5.15% [1] - Consumer electronics and communication equipment sectors followed, with increases of 3.22% and 3.14% respectively [1] - The AI index on the ChiNext rose by 3.33%, with several AI ETFs also showing significant gains [1][4] ETF Performance - The Information Technology ETF (512330.SH) increased by 3.98%, with a total share size of 555 million [3] - The AI ETF from Huaxia (159381.SZ) rose by 3.86%, with a share size of 272 million [4] - The 5G ETF (159994.SZ) increased by 3.40%, with a total share size of 1.733 billion [5] - The overall market saw 785 non-currency ETFs rise, accounting for 68% of the total [1] Valuation Metrics - The latest PE-TTM for the CSI 500 Information Technology Index is 98.22, lower than the 98.48% level maintained over the past three years [4] - The PE-TTM for the ChiNext AI Index stands at 74.41, below the 63.38% level of the past three years [5] - The PE-TTM for the CSI 5G Communication Index is 26.46, also lower than the 29.28% level over the last three years [5] Market Sentiment - The S&P 500 Consumer Select Index showed a premium of 24.20%, indicating strong market sentiment [8] - The S&P 500 Index also experienced a premium of 15.80%, reflecting positive investor sentiment [8]

Quantitative Models and Construction 1. Model Name: Coal Industry Profit Forecast Model - **Model Construction Idea**: The model estimates the revenue and profit growth rate of the coal industry based on changes in price and capacity factors[10] - **Model Construction Process**: - The pricing mechanism is determined by the long-term contract system, where the sales price for the next month is based on the last price index of the current month[10] - The model uses the year-on-year changes in price and capacity factors to estimate monthly revenue and profit growth rates[10] - **Model Evaluation**: The model provides a systematic approach to track and predict industry profitability, but it relies heavily on the stability of the pricing mechanism and external factors like market demand[10][14] 2. Model Name: Hog Supply-Demand Gap Estimation Model - **Model Construction Idea**: The model predicts the hog supply-demand gap six months ahead based on the breeding sow inventory and historical slaughter coefficients[15] - **Model Construction Process**: - The slaughter coefficient is calculated as: $ \text{Slaughter Coefficient} = \frac{\text{Quarterly Hog Slaughter}}{\text{Breeding Sow Inventory (Lagged 6 Months)}} $[15] - The potential supply six months later is estimated as: $ \text{Potential Supply (t+6)} = \text{Breeding Sow Inventory (t)} \times \text{Slaughter Coefficient (t+6, YoY)} $[15] - The potential demand six months later is estimated as: $ \text{Potential Demand (t+6)} = \text{Hog Slaughter (t+6, YoY)} $[16] - **Model Evaluation**: Historical data shows that this model effectively identifies hog price upward cycles, making it a valuable tool for supply-demand analysis[16] 3. Model Name: Steel Industry Profit Forecast Model - **Model Construction Idea**: The model predicts monthly profit growth and per-ton profit for the steel industry by integrating steel prices and raw material costs[18] - **Model Construction Process**: - The model incorporates comprehensive steel prices and costs of raw materials such as iron ore, coke, pulverized coal, and scrap steel to estimate profit growth rates[18] - **Model Evaluation**: The model provides a detailed profit analysis but is sensitive to fluctuations in raw material prices and global demand[22] 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[23] - **Model Construction Process**: - The model monitors price and cost indicators to assess profitability changes and generate allocation signals[23] - **Model Evaluation**: The model is effective in identifying short-term profitability trends but requires additional macroeconomic indicators for long-term predictions[30] 5. Model Name: Refining and Oilfield Services Profitability Model - **Model Construction Idea**: The model estimates profit growth and cracking spreads for the refining industry based on changes in fuel prices, crude oil prices, and new drilling activities[31] - **Model Construction Process**: - The model calculates profit growth rates and cracking spreads using variations in fuel and crude oil prices[31] - Allocation signals are designed based on oil prices, cracking spreads, and new drilling activity[31] - **Model Evaluation**: The model provides a comprehensive view of industry profitability but is highly dependent on volatile oil price movements[35] --- Backtesting Results of Models 1. Coal Industry Profit Forecast Model - **Profit Growth Forecast**: Predicted a year-on-year profit decline for June 2025 due to lower coal prices compared to the previous year[14] 2. Hog Supply-Demand Gap Estimation Model - **Supply-Demand Balance**: Predicted a balanced supply-demand scenario for Q4 2025, with potential supply and demand both estimated at 18,226 million hogs[17] 3. Steel Industry Profit Forecast Model - **Profit Growth Forecast**: Predicted a slight year-on-year profit decline for May 2025, with PMI rolling averages remaining flat[22] 4. Glass and Cement Industry Profitability Tracking Model - **Glass Industry**: Predicted a year-on-year decline in gross profit for May 2025[30] - **Cement Industry**: Predicted a year-on-year profit growth for May 2025, driven by price recovery[30] 5. Refining and Oilfield Services Profitability Model - **Refining Industry**: Predicted a year-on-year profit decline for May 2025 due to lower oil prices compared to the previous year[35] - **Oilfield Services**: Observed stable new drilling activity and lower oil prices compared to the previous year, maintaining a neutral outlook[38]