- The report tracks the prosperity signals of various industries, including coal, livestock farming, steel, structural materials, and fuel refining, based on recent industry operating indicators[9] - For the coal industry, the model uses price factors and capacity factors to estimate monthly revenue and profit growth rates[10] - The livestock farming model employs the "slaughter coefficient method" to calculate the supply-demand gap for pigs six months in advance, based on the relationship between piglet birth cycles and sow pregnancy arrangements. The formula is as follows: $ \text{Slaughter Coefficient} = \frac{\text{Quarterly Pig Slaughter}}{\text{Breeding Sow Inventory (Lag 6 months)}} $ $ \text{Potential Capacity (6 months later)} = \text{Breeding Sow Inventory (t)} \times \text{Slaughter Coefficient (t+6 months)} $[15][16] - For the steel industry, the model integrates comprehensive steel prices and cost indicators (e.g., iron ore, coke, pulverized coal, scrap steel) to predict monthly profit growth rates and calculate per-ton profitability[18] - The structural materials and construction engineering model tracks profitability changes in the glass and cement manufacturing industries using price and cost indicators. It also incorporates manufacturing PMI and real estate sales data to analyze potential investor expectations for infrastructure support[25] - The fuel refining and oil services model calculates industry profit growth rates and cracking spreads based on changes in fuel prices and crude oil prices. It also designs allocation signals using oil prices, cracking spreads, and new drilling activity[27] - Backtesting results for the coal industry show that profit growth signals do not indicate significant improvement, maintaining a neutral allocation view[14] - The slaughter coefficient method effectively identifies pig price upward cycles, with the Q2 2026 potential pig supply estimated at 167.73 million heads, slightly tight compared to the Q2 2025 demand of 171.43 million heads[16][17] - For the steel industry, December 2025 profit growth is predicted to be negative, with PMI rolling averages remaining unchanged, leading to a neutral allocation view[22] - The glass industry continues to show negative profit growth as of December 2025, while the cement industry also exhibits declining profits with no positive signals in new housing starts, maintaining a neutral view for both[26] - The fuel refining industry is predicted to have flat profit growth in December 2025, with oil prices continuing to decline and new drilling activity showing minimal change, resulting in a neutral allocation view for both refining and oil services[33][34]

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][15] - **Model Construction Process**: 1. The pricing mechanism is determined by the last price index of the previous month, which sets the sales price for the next month[10] 2. The model uses year-on-year changes in 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 it is sensitive to price fluctuations and external shocks[15] 2. Model Name: Hog Supply-Demand Gap Estimation Model - **Model Construction Idea**: This model predicts the supply-demand gap for hogs six months in advance based on the relationship between sow inventory and hog slaughter rates[16][17] - **Model Construction Process**: 1. The model assumes a stable proportional relationship between quarterly hog slaughter and sow inventory lagged by six months[16] 2. The formula for the slaughter coefficient is: $ \text{Slaughter Coefficient} = \frac{\text{Quarterly Hog Slaughter}}{\text{Sow Inventory (Lagged 6 Months)}} $[16] 3. The potential supply six months later is calculated as: $ \text{Potential Supply (t+6)} = \text{Sow Inventory (t)} \times \text{Slaughter Coefficient (t+6)} $[17] 4. The potential demand six months later is estimated using historical quarterly slaughter data[17] - **Model Evaluation**: The model effectively identifies hog price cycles but relies heavily on the accuracy of historical slaughter coefficients[17] 3. Model Name: Steel Industry Profit Forecast Model - **Model Construction Idea**: The model predicts monthly profit growth and per-ton profitability for the steel industry by integrating steel prices and raw material costs[19] - **Model Construction Process**: 1. The model incorporates comprehensive steel prices and costs of raw materials such as iron ore, coke, pulverized coal, and scrap steel[19] 2. Monthly profit growth rates and per-ton profitability are calculated based on these inputs[19] - **Model Evaluation**: The model provides a detailed view of profitability trends but may not fully capture external demand-side factors[23] 4. Model Name: Glass and Cement Industry Profitability Tracking Model - **Model Construction Idea**: This model tracks profitability changes in the glass and cement industries using price and cost indicators, and generates allocation signals based on these changes[25] - **Model Construction Process**: 1. The model monitors price and cost indicators to assess profitability trends[25] 2. It incorporates manufacturing PMI and real estate sales data to evaluate macroeconomic impacts on industry expectations[25] - **Model Evaluation**: The model is useful for identifying short-term profitability trends but may be limited by the lag in macroeconomic data updates[26] 5. Model Name: Refining and Oilfield Services Profitability Model - **Model Construction Idea**: This model estimates profit growth and cracking spreads for the refining industry based on changes in fuel prices, crude oil prices, and new drilling activity[27] - **Model Construction Process**: 1. The model calculates profit growth rates using changes in fuel and crude oil prices[27] 2. Cracking spreads are derived from the difference between product prices and raw material costs[27] 3. Allocation signals are generated based on oil price trends and drilling activity[27] - **Model Evaluation**: The model captures key profitability drivers but may not fully account for geopolitical risks affecting oil prices[34][35] --- Backtesting Results of Models 1. Coal Industry Profit Forecast Model - **Excess Return**: The coal industry underperformed the Wind All-A Index by -9.8% in August 2025[10] 2. Hog Supply-Demand Gap Estimation Model - **Supply-Demand Balance**: The potential supply for Q1 2026 is estimated at 19,380 million heads, while the demand is forecasted at 19,476 million heads, indicating a slightly tight balance[18] 3. Steel Industry Profit Forecast Model - **Profit Growth**: The steel industry is predicted to achieve positive year-on-year profit growth in August 2025[23] 4. Glass and Cement Industry Profitability Tracking Model - **Glass Industry**: Profit margins continued to decline year-on-year in August 2025, but the rate of decline narrowed[26] - **Cement Industry**: Profitability slightly declined year-on-year in August 2025[26] 5. Refining and Oilfield Services Profitability Model - **Refining Industry**: Profit growth for August 2025 is predicted to be positive[28] - **Oilfield Services**: Oil prices in August 2025 were lower than the previous year, and drilling activity remained stable, leading to a neutral allocation signal[35]

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**: 1. 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] 2. The model incorporates year-over-year changes in 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 it relies heavily on the accuracy of price and capacity factor inputs[10][14] 2. Model Name: Hog Supply-Demand Gap Estimation Model - **Model Construction Idea**: The model predicts the supply-demand gap for hogs six months in advance based on the relationship between sow inventory and hog slaughter rates[15] - **Model Construction Process**: 1. The model assumes a stable proportional relationship between quarterly hog slaughter and sow inventory lagged by six months[15] 2. The formula for the slaughter coefficient is: $ \text{Slaughter Coefficient} = \frac{\text{Quarterly Hog Slaughter}}{\text{Sow Inventory (Lagged 6 Months)}} $[15] 3. The potential supply and demand six months later are calculated as: $ \text{Potential Supply (t+6)} = \text{Sow Inventory (t)} \times \text{Slaughter Coefficient (t+6)} $ $ \text{Potential Demand (t+6)} = \text{Hog Slaughter (t+6, Previous Year)} $[16] - **Model Evaluation**: Historical data shows that this model effectively identifies hog price upcycles, making it a valuable tool for forecasting[16] 3. Model Name: Steel Industry Profit Forecast Model - **Model Construction Idea**: The model predicts monthly profit growth rates and per-ton profitability for the steel industry by integrating steel prices and raw material costs[18] - **Model Construction Process**: 1. The model uses comprehensive steel prices and considers the costs of raw materials such as iron ore, coke, pulverized coal, and scrap steel[18] 2. Monthly profit growth rates and per-ton profitability are calculated based on these inputs[18] - **Model Evaluation**: The model captures the dynamics of the steel industry effectively, but its accuracy depends on the reliability of input data[23] 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[25] - **Model Construction Process**: 1. The model monitors price and cost indicators to assess profitability trends in the glass and cement industries[25] 2. It incorporates economic data such as manufacturing PMI and real estate sales to analyze potential infrastructure investment expectations[25] - **Model Evaluation**: The model provides a comprehensive view of industry profitability and its drivers, but it is sensitive to macroeconomic fluctuations[29] 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 and crude oil prices[30] - **Model Construction Process**: 1. The model calculates profit growth rates and cracking spreads using changes in fuel and crude oil prices[30] 2. Allocation signals are designed based on oil prices, cracking spreads, and new drilling activity[30] - **Model Evaluation**: The model effectively captures the profitability dynamics of the refining industry, but its performance is influenced by oil price volatility[37] --- Backtesting Results of Models 1. Coal Industry Profit Forecast Model - **Excess Return**: The coal industry index achieved a cumulative excess return of 0.3% in July 2025[10] 2. Hog Supply-Demand Gap Estimation Model - **Supply-Demand Balance**: The model predicts a potential supply of 18,249,000 hogs and a demand of 18,226,000 hogs for Q4 2025, indicating a roughly balanced market[17] 3. Steel Industry Profit Forecast Model - **Profit Growth**: The model predicts positive year-over-year profit growth for July 2025, with improved per-ton profitability[23] 4. Glass and Cement Industry Profitability Tracking Model - **Glass Industry**: The model indicates that glass industry gross profit remains in a year-over-year decline, but the rate of decline has narrowed[29] - **Cement Industry**: The model predicts a slight year-over-year profit growth for the cement industry in July 2025[29] 5. Refining and Oilfield Services Profitability Model - **Profit Growth**: The model predicts slight year-over-year profit growth for the refining industry in July 2025[33] - **Oilfield Services**: The model observes that oil prices in July 2025 are lower than the previous year, with no significant change in new drilling activity[38]