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]

文 ： 华创证券研究所副所长 、首席宏观分析师 张瑜（执业证号：S0360518090001） 联系人： 陆银波（15210860866） 核心观点 本篇报告希望从定量的角度分析"供改"的压力。希望构建一个定量的指标，可以动态更新，可以解释 2015 年年末的供给侧改革（时点选择、行业选择），可以观察更多的行业情况。我们借助上市公司财报数据， 构建盈利压力指数，大体可以满足上述要求。从盈利压力指数来看， 2024 年三季报显示压力在上升，但尚 未触及 2015 年的高点。行业层面，电源设备已具备 2015 年供改行业的特征，煤化工、结构材料、普钢尚 不具备，但已经较为接近。 报告摘要 一、需要什么样的指标以评估供改压力？ 需要满足两个要求。 第一，2015年，该指标是局部最高点 ，最理想情况下是2000年以来的最高点，次理想 情况下是2011年以来的最高点（参照外管局观点，"经常账户顺差与GDP之比在2011年之后处于合理均衡区 间"，即2011年之后经济对外需的依赖大幅下降）。 第二，在2015年的行业视角来看 ，煤炭、钢铁、有 色、石化等之所以纳入供给侧改革，从纵向比较来看，2015年属于自身压力较大的年 ...