Domestic Market Overview - The Shanghai Composite Index reached a monthly closing high, achieving a three-week upward trend, with a weekly increase of 1.98%[26] - The resource sectors, including coal, steel, and chemicals, saw significant growth, with the steel sector leading at a weekly increase of 12.27%[26] - The bond market showed a "see-saw" effect, with the 10-year government bond yield rising after an initial decline[8] - The RMB appreciated against the USD by 0.80%, closing at 6.8559, supported by favorable macroeconomic factors[29] Global Market Insights - Brent crude oil prices surged above $73 per barrel due to escalating geopolitical tensions in Iran[10] - The US stock market experienced a downturn, with the Dow Jones, Nasdaq, and S&P 500 indices falling by 1.31%, 0.95%, and 0.44% respectively[27] - The AI sector shifted focus from software and hardware to infrastructure, with the TYG ETF rising by 2.5%[10] Economic Data and Policy Review - Industrial park resumption rates exceeded 60% post-holiday, indicating strong economic recovery[11] - The steel mill operating rate continued to improve, reflecting a robust industrial recovery trend[11] - The Chinese government is implementing supportive policies for the aging population and real estate market, including adjustments to housing regulations in Shanghai[19] Commodity Market Performance - Precious metals performed well, with COMEX silver rising by 13.30% and gold increasing by 3.29%[28] - Domestic black commodities faced pressure, with coking coal and coke prices dropping by 3.35% and 2.60% respectively[28] Risk Factors - Potential escalation of geopolitical conflicts could lead to increased volatility in commodity prices[46] - Domestic policy measures may not meet expectations, potentially slowing economic growth[46]

Investment Rating - The report maintains an investment rating of "Outperform the Market - A" for the industry [7] Core Insights - The report highlights the acceleration of the unified electricity market, leading to the differentiation of coal power assets. The establishment of a nationwide unified electricity market by 2035 is expected to optimize resource allocation and enhance market efficiency [2][24] - The introduction of differentiated electricity pricing is accelerating the exit of inefficient production capacities, thereby improving the supply structure of the industry. This shift is expected to enhance profitability and competitive order within the sector [26][29] - Coal power integrated enterprises are expected to gain a competitive edge due to their lower marginal costs, allowing them to capture market opportunities as inefficient capacities are phased out [3][30] Summary by Sections 1. Unified Electricity Market Development - The unified electricity market is progressing, with a focus on deepening the integration of coal and electricity assets. The market structure is evolving from regional competition to a national framework, enhancing the competitive advantages of low-cost and high-efficiency coal power units [2][20] - The implementation of differentiated pricing is set to optimize the supply-demand balance, pushing inefficient power generation to exit the market and improving overall industry profitability [26][29] 2. Market Performance Review - From February 14 to February 27, the Shanghai Composite Index rose by 1.98%, while the public utility index increased by 5.69%, outperforming the Shanghai Composite by 3.71 percentage points [4][37] 3. Market Information Tracking - As of February 25, the average price of thermal coal in the Bohai Rim was reported at 685 RMB/ton, reflecting a slight increase from the previous period [5][11] - The report also tracks electricity prices, noting that in February 2026, the average transaction price in Jiangsu was 312.8 RMB/MWh, down 20% from the benchmark price [11] 4. Industry Dynamics - The State Council has issued implementation opinions to enhance the unified electricity market, aiming for a market where 70% of electricity consumption is traded through market mechanisms by 2030 [8][24] - The report emphasizes the importance of coal power as a stabilizing force in the energy system, particularly in the context of increasing renewable energy integration [24][30] 5. Investment Portfolio and Recommendations - The report suggests focusing on coal power integrated companies such as Shaanxi Energy, Xinji Energy, and Huaihe Energy, which are expected to benefit from the market's evolution and the exit of inefficient capacities [3][30]

煤炭行业 行业研究 | 行业周报 海外扰动进入兑现阶段，煤炭板块逐步反 应"看涨期权"价值 风险提示 经济增速下滑；水电出力超预期；海外地缘冲突迅速结束；政策实施力度不及预期。 国家/地区 中国 行业 煤炭行业 报告发布日期 2026 年 03 月 01 日 看好（维持） | 蒋山 | 执业证书编号：S0860525110006 | | --- | --- | | | jiangshan2@orientsec.com.cn | | | 0755-82819271 | | 李晓渊 | 执业证书编号：S0860525090002 | | | lixiaoyuan@orientsec.com.cn | | | 021-63326320 | ——东方证券煤炭行业周报（20260223-20260301） 核心观点 投资建议与投资标的 投资建议：我们认为煤炭板块估值将逐渐向"类债"+"煤价看涨期权"演变，当前随着海外 地缘局势的扰动，煤价正在进入加速上涨阶段，煤炭股"看涨期权"价值正逐步凸显， 看好煤炭板块的配置价值。 | 重点关注动力煤进口扰动及焦煤下游补库 | 2026-02-07 | | --- | --- | ...

Group 1: Metal Sector - Hongda Co. (600331.SH) is projected to have a net profit of 0.36 billion CNY in 2024, but is expected to incur a loss of 0.80 billion CNY in 2025, with a significant recovery to 4.00 billion CNY in 2026, resulting in a PE ratio of 131.36[17] - Zijin Mining (601899.SH) is forecasted to achieve a net profit of 320.51 billion CNY in 2024, increasing to 913.17 billion CNY by 2026, with a PE ratio dropping from 32.86 to 11.53[17] - Huaxi Nonferrous (600301.SH) is expected to see net profits rise from 6.58 billion CNY in 2024 to 12.69 billion CNY in 2026, with a PE ratio of 32.29[17] Group 2: Construction Materials - Oriental Yuhong (002271.SZ) is projected to have net profits of 1.08 billion CNY in 2024, increasing to 21.94 billion CNY by 2026, with a PE ratio of 19.60[17] - China Jushi (600176.SH) is expected to grow its net profit from 24.45 billion CNY in 2024 to 47.80 billion CNY in 2026, with a PE ratio of 22.65[17] - The construction materials sector is facing a significant supply exit, with 2024 commodity housing sales expected to decline by approximately 47% compared to 2021[44] Group 3: Transportation - YTO Express (600233.SH) is forecasted to achieve net profits of 40.12 billion CNY in 2024, increasing to 50.84 billion CNY by 2026, with a PE ratio of 13.20[17] - COSCO Shipping Energy (600026.SH) is expected to see net profits rise from 40.37 billion CNY in 2024 to 98.19 billion CNY in 2026, with a PE ratio of 10.94[17] Group 4: Chemical Sector - Boyuan Chemical (000683.SZ) is projected to have net profits of 18.11 billion CNY in 2024, decreasing to 23.43 billion CNY by 2026, with a PE ratio of 14.87[17] - Xingfa Group (600141.SH) is expected to see net profits rise from 16.01 billion CNY in 2024 to 24.54 billion CNY in 2026, with a PE ratio of 19.62[17] Group 5: Power and Coal - Longyuan Power (001289.SZ) is forecasted to achieve net profits of 63.45 billion CNY in 2024, with a slight decrease to 61.52 billion CNY by 2026, maintaining a PE ratio of 17.20[17] - Electric Power Investment (002128.SZ) is expected to see net profits rise from 53.42 billion CNY in 2024 to 68.98 billion CNY in 2026, with a PE ratio of 9.98[17]

Group 1: A-Share Valuation - The overall valuation of A-shares as of February 27, 2026, shows the CSI All Share (excluding ST) with a PE of 22.8x and a PB of 1.9x, positioned at the historical 83rd and 53rd percentiles respectively [2][5] - The Shanghai Stock Exchange 50 Index has a PE of 11.5x and a PB of 1.3x, at the historical 58th and 37th percentiles [2][5] - The CSI 300 Index has a PE of 14.1x and a PB of 1.5x, at the historical 64th and 38th percentiles [2][5] - The CSI 500 Index shows a PE of 38.8x and a PB of 2.7x, at the historical 71st and 63rd percentiles [2][5] - The ChiNext Index has a PE of 43.3x and a PB of 5.7x, at the historical 43rd and 66th percentiles [2][5] Group 2: Industry Valuation Comparison - Industries with PE valuations above the historical 85th percentile include Real Estate, Automation Equipment, Retail, Electronics (Semiconductors), and IT Services [2] - Industries with PB valuations above the historical 85th percentile include Industrial Metals, Minor Metals, Defense, Electronics (Semiconductors), and Communications [2] - The White Goods industry has both PE and PB valuations below the historical 15th percentile [2] Group 3: Industry Midstream Sentiment Tracking - In the New Energy sector, the price of polysilicon futures dropped by 4.8%, and the spot price fell by 3.7%, indicating weak sentiment due to subdued demand [2][3] - In the Technology TMT sector, the Philadelphia Semiconductor Index decreased by 2.0%, while the Taiwan Semiconductor Index increased by 4.8% [3] - In the Real Estate chain, the price of rebar fell by 1.1%, while the price of cement decreased by 0.4% [3] - In the Consumer sector, the average price of live pigs dropped by 7.7%, and the wholesale price of pork fell by 3.6% [3] - In the Midstream Manufacturing sector, heavy truck sales increased by 46.0% year-on-year in January 2026, driven by favorable policies [3] Group 4: Commodity Prices and Trends - The price of Brent crude oil futures rose by 1.2% to $72.52 per barrel, influenced by geopolitical tensions in the Middle East [3] - The price of thermal coal increased by 4.0% to 751 RMB/ton, while coking coal prices fell by 2.0% to 1501 RMB/ton [3] - The price of gold increased by 3.2%, and silver prices rose by 11.6% [3]

Quantitative Models and Construction Methods 1. Model Name: Timing System Signal - **Model Construction Idea**: The model uses the distance between the short-term and long-term moving averages of the WIND All A Index to determine market trends and timing signals [2][7][13] - **Model Construction Process**: 1. Define the short-term moving average (20-day) and long-term moving average (120-day) of the WIND All A Index 2. Calculate the distance between the two moving averages: $ Distance = \frac{Short\text{-}term\ MA - Long\text{-}term\ MA}{Long\text{-}term\ MA} $ 3. If the absolute value of the distance is greater than 3%, it indicates a significant trend signal [2][7][13] - **Model Evaluation**: The model effectively identifies market trends and provides actionable timing signals [2][7][13] 2. Model Name: Industry Trend Allocation Model - **Model Construction Idea**: This model identifies industry allocation opportunities based on medium-term reversal expectations and performance trends [6][8][15] - **Model Construction Process**: 1. Monitor medium-term reversal signals for specific industries, such as the real estate chain 2. Use performance trend analysis to identify industries with strong growth potential, such as technology, semiconductors, and chemicals 3. Recommend ETF products corresponding to these industries for allocation [6][8][15] - **Model Evaluation**: The model provides clear industry allocation guidance and captures sectoral opportunities effectively [6][8][15] 3. Model Name: Position Management Model - **Model Construction Idea**: This model determines the recommended equity allocation ratio based on valuation levels and market trends [9] - **Model Construction Process**: 1. Assess the PE and PB valuation levels of the WIND All A Index 2. Combine valuation levels with short-term market trends to determine the recommended equity allocation ratio 3. For example, with the current PE at the 90th percentile and PB at the 50th percentile, the model suggests an 80% equity allocation [9] - **Model Evaluation**: The model provides a systematic approach to position management, balancing valuation and trend considerations [9] --- Model Backtesting Results 1. Timing System Signal - Moving average distance: 6.28% (absolute value > 3%) - Market trend line: 6812 points - Profitability effect: 1.91% (significantly > 0) [2][7][13] 2. Industry Trend Allocation Model - Recommended sectors: - Real estate chain (e.g., Building Materials ETF: 159745.SZ) - Technology (e.g., Satellite ETF: 563230.SH) - Semiconductors and communication (e.g., Semiconductor Equipment ETF: 159516.SZ, Communication ETF: 515880.SH) - Metals and chemicals (e.g., Industrial Metals ETF: 560860.SH, Rare Earth ETF: 516150.SH, Chemical ETF: 159870.SZ) [6][8][15] 3. Position Management Model - Recommended equity allocation: 80% [9] --- Quantitative Factors and Construction Methods 1. Factor Name: Profitability Effect - **Factor Construction Idea**: Measures the market's profitability to assess upward momentum [2][7][13] - **Factor Construction Process**: 1. Calculate the profitability effect as a percentage of profitable stocks in the market 2. A positive profitability effect indicates upward momentum [2][7][13] - **Factor Evaluation**: The factor effectively captures market sentiment and momentum [2][7][13] --- Factor Backtesting Results 1. Profitability Effect - Current value: 1.91% (significantly > 0) [2][7][13]

Investment Rating - The industry rating is "Positive" [1] Core Viewpoints - The coal sector has outperformed the CSI 300 index, with a weekly increase of 5.7% compared to a 1.08% rise in the index, resulting in a 4.62 percentage point outperformance [2] - The report highlights a strong support for coal prices due to rising oil prices driven by geopolitical tensions in the Middle East, suggesting a shift in energy consumption towards coal in various sectors [5] - The report indicates that coal assets are expected to be revalued positively, with healthy fundamentals in coking coal and low inventories supporting price stability and potential increases [5] Summary by Sections Coal Sector Performance - As of February 27, 2026, the coal sector saw a 5.7% increase, with all 37 stocks in the sector rising, and the highest performer being Jiangxi Tungsten Equipment with a 38.99% increase [2] Thermal Coal Industry - The price of thermal coal (Q5500K) in the Bohai Rim was 685 RMB/ton, up 0.44% week-on-week, while the import price index for Chinese thermal coal rose by 6.21% to 958 RMB/ton [2] - Inventory levels at Qinhuangdao port increased by 90,000 tons to 5.08 million tons as of February 27, 2026 [2] Coking Coal Industry - As of February 27, 2026, the price of main coking coal at Jingtang Port remained stable at 1,700 RMB/ton, while some production areas saw price declines [3] - Coking coal futures settled at 1,082.5 RMB/ton, down 3.35% week-on-week, with total inventory at independent coking plants decreasing by 45,400 tons [3] Coal Chemical Industry - Prices for various coal chemical products showed mixed trends, with methanol prices in East China at 2,168.86 RMB/ton, down 31.59 RMB/ton week-on-week, while urea prices increased by 30 RMB/ton [4] Investment Recommendations - The report suggests focusing on high-dividend thermal coal companies and flexible coking coal companies, as well as companies in the smokeless coal and coal chemical sectors that are expected to benefit from high oil prices [5] - Specific companies to watch include China Shenhua, Shaanxi Coal and Chemical Industry, and Yanzhou Coal Mining Company among thermal coal firms, and Shanxi Coking Coal and Huainan Mining among coking coal firms [5]

证券研究报告 | 行业点评 | 煤炭 中东局势推升油价，支撑煤炭估值提升 ——行业点评报告 投资要点 投资建议 原油价格上涨显著提升替代能源需求，煤炭作为重要化石能源，可以从电力、化 工等途径替代原油，未来煤炭需求有望进一步提升，低估值煤炭资产有望重估， 我们从直接受益石油涨价、估值（PB）、股价距前高空间较大等方面筛选受益的 相关公司：直接受益石油涨价的无烟煤公司华阳股份、兰花科创等，PB 较低的 恒源煤电、上海能源、山西焦化、永泰能源、甘肃能化、淮北矿业、潞安环能、 平煤股份等，股价距前高空间较大的安泰集团、大有能源、宝泰隆、郑州煤电、 云煤能源等。 风险提示 煤炭 报告日期：2026 年 03 月 01 日 行业评级: 看好(维持) 分析师：樊金璐 执业证书号：S1230525030002 fanjinlu@stocke.com.cn 相关报告 1 《假期能源板块强势，节后上 涨可期》 2026.02.23 2 《节前布局煤炭板块，节后有 望上涨》 2026.02.11 3 《印尼意在稳价，节后有望开 启补库行情》 2026.02.08 http://www.stocke.com.cn 1/2 请务必阅 ...

Investment Rating - The report maintains a bullish outlook on the coal sector, suggesting that it is an opportune time to accumulate coal stocks at lower prices [11][12]. Core Insights - The current phase is identified as the early stage of a new upward cycle in the coal economy, driven by fundamental and policy factors [11]. - The report highlights a significant increase in coal mine capacity utilization rates, with thermal coal at 81.4% (+8.5 percentage points) and coking coal at 68.24% (+19.4 percentage points) [11][48]. - Demand for coal has risen, with inland provinces showing an increase in daily consumption by 12.90 million tons (+4.68%) and coastal provinces by 12.50 million tons (+10.06%) [11][49]. - The report notes that coal prices are expected to stabilize at a higher level due to supply constraints and geopolitical tensions, with a potential for price spikes [11][12]. Summary by Sections 1. Coal Price Tracking - As of February 28, the market price for thermal coal (Q5500) at Qinhuangdao Port is 745 CNY/ton, up 28 CNY/ton from the previous week [29]. - The international thermal coal price (NEWC5500) is reported at 87.0 USD/ton, reflecting a weekly increase of 1.5 USD/ton [29]. - Coking coal prices at major ports remain stable, with the price at Jing Tang Port holding at 1700 CNY/ton [31]. 2. Coal Supply and Demand Tracking - The report indicates a significant increase in coal mine capacity utilization rates, with thermal coal at 81.4% and coking coal at 68.24% [48]. - Daily coal consumption in inland provinces has increased, while coastal provinces also show a rise in consumption [49]. - The report emphasizes the ongoing supply constraints and the need for new capacity to meet long-term energy demands [12]. 3. Coal Inventory Situation - As of February 24, coal inventories in inland provinces decreased by 257,000 tons (-2.89%), while coastal provinces saw an increase of 108,800 tons (+3.31%) [49]. - The report highlights the importance of monitoring inventory levels as they impact price stability and market dynamics [49]. 4. Downstream Metallurgical Demand - The report notes that the steel industry is experiencing a slight increase in production, with the national blast furnace operating rate at 80.2% [67]. - The average profit per ton for independent coking enterprises has improved slightly, indicating a recovery in the metallurgical sector [67]. 5. Downstream Chemical and Construction Demand - The report indicates a stable demand for coal in the chemical sector, with weekly coal consumption rising by 4.14 million tons/day [11]. - The cement industry shows a slight decline in production capacity utilization, which may affect coal demand in the short term [11].

Core Conclusions - The trend in 2026 is entering an acceleration phase due to the "three invariants" during the Kondratiev depression period [2] - The direction of RMB appreciation remains unchanged, with adjustments mainly in the pace of appreciation [13][14] - Global secondary inflation is inevitable, driven by factors beyond consumer support [24][29] - The logic of the commodity supercycle is accelerating due to geopolitical tensions and strategic stockpiling [32][33] Group 1: RMB Appreciation - The offshore RMB exchange rate has reached new highs, indicating accelerated cross-border capital inflows [13] - The central bank's adjustments focus on the slope rather than the direction of the exchange rate [14] - Historical data suggests that similar regulatory policies have limited impact on long-term exchange rate trends [14][18] Group 2: Global Secondary Inflation - The market's expectation of a "soft landing" is merely a short-term illusion, with secondary inflation being unavoidable [24] - The January PPI data in the US exceeded expectations, indicating inflation driven by core goods and trade rather than consumer spending [24][25] - The correlation between PPI and effective exchange rates has strengthened since 2022, suggesting a more robust inflationary trend [29][30] Group 3: Commodity Supercycle - Geopolitical risks are driving demand for strategic stockpiling, marking the acceleration of the commodity supercycle [32] - Historical patterns indicate that during wartime, credit currencies depreciate rapidly, leading to significant increases in commodity prices [33] - The current geopolitical landscape is reminiscent of past commodity cycles, emphasizing the importance of physical asset allocation [33][34] Group 4: Dollar Tides in the Kondratiev Depression - The "three invariants" suggest that the trend in 2026 is not a turning point but an acceleration [38] - The dollar's influence has shifted through various phases, with the current phase favoring US assets due to AI-driven capital inflows [38][39] - The commodity supercycle is expected to expand, with A-shares potentially outperforming US stocks as liquidity issues arise in the latter [39] Group 5: Embracing the Commodity Supercycle - The year 2026 is anticipated to witness a wave of prosperity for "catch-up" countries, driven by moderate inflation and improving profits [43] - Investment strategies should focus on sectors benefiting from the commodity supercycle, including refining, precious metals, and coal [43]