Core Insights - The current commodity cycle is similar to the 1970s, characterized by a restructuring of the global monetary system and ongoing supply chain disruptions, with precious metals playing a crucial role [1] - The current inflation exhibits structural characteristics, differing from the persistent high inflation of the 1970s, although both periods experience high volatility in inflation rates [1] - The current commodity rotation is in a long-cycle mid-to-late transition phase, marked by structural, phased, and policy-driven characteristics [1] Group 1: Commodity Cycle Characteristics - The current commodity cycle can be compared to the 1970s' "stagflation + geopolitical conflict," but with added variables such as energy transition and weakening dollar credit [2] - Both cycles are in the downturn phase of the Kondratiev wave, with commodity prices influenced by "supply shocks + monetary easing," leading to a wave-like price movement [2] - New demand drivers like AI infrastructure and green transition have replaced traditional real estate infrastructure in the current cycle [2] Group 2: Market Differentiation - The most notable feature of the current commodity rotation is increasing differentiation, stemming from differences in sector logic and variety logic [3] - Precious metals and non-ferrous metals are showing strong performance, while oil prices are under pressure from trade wars and inflation uncertainties, indicating potential for rotation and upward movement [3] - The traditional rotation chain of gold → copper → oil → agricultural products has been disrupted, with a new chain emerging: gold → new energy metals (copper/silver/lithium) → power infrastructure (aluminum/zinc) → strategic minor metals (tungsten/tin/cobalt) [3] Group 3: Future Outlook - The chemical sector is expected to perform well by 2026 due to domestic "anti-involution" policies, capacity exits from Europe, Japan, and South Korea, and the transmission of crude oil costs [4] - Key signals to watch in the short term include the ongoing impact of geopolitical tensions on energy prices and the rotation opportunities in black metals, chemicals, agricultural products, and soft commodities following the implementation of domestic demand expansion policies [4] - Key commodities for the next rotation phase include zinc, wheat, iron ore, and platinum, which are recommended for focused attention [5]

Group 1 - The core viewpoint emphasizes that the combination of technology and cyclical sectors remains a key investment theme, with expectations of PPI turning positive driving EPS growth and liquidity support [1] - The article highlights the importance of focusing on stable growth in end-user sectors and the commercialization of ToB applications, particularly in areas such as computing hardware, energy storage, AI applications, and intelligent driving [1] - The Guotai Science and Innovation ETF (588360) tracks the Science and Innovation 50 Index (931643), which includes 50 large-cap emerging industry companies from the Sci-Tech and ChiNext boards, reflecting the overall performance of representative emerging industries [1] Group 2 - The index focuses on industries such as electronics, power equipment, communications, and biomedicine, emphasizing technological attributes and innovative growth, with a relatively balanced industry allocation [1] - The cyclical sectors are expected to show significant price and valuation elasticity during the phase of PPI turning positive, with reduced competition potentially leading to improved performance in sectors like non-ferrous metals, chemicals, machinery, steel, and building materials [1]

Group 1 - Ren Zeping predicts seven major events will occur in 2026: significant interest rate cuts in China and the US, explosive growth of AI super applications, the rise of China's AI capabilities, increased geopolitical tensions, a year of commodity boom, a confidence-driven bull market, and a bifurcation in the real estate market [3] - The AI revolution is in its early stages, with large-scale deployment of GPUs and computing centers leading to a significant drop in costs, resulting in the commercialization of super applications by 2026, including large models, AI agents, autonomous driving, AI healthcare, humanoid robots, brain-computer interfaces, commercial space travel, and satellite communication [4] - Countries are engaged in an AI race, initiating large-scale infrastructure capital expenditures that are driving up commodity prices, with silver, non-ferrous metals, energy, photovoltaics, and chemicals becoming increasingly important [5] Group 2 - The rapid development of AI is heavily reliant on computing power, which in turn depends on electricity; the pace of AI advancement is so fast that a month without updates can make one feel outdated, indicating a historical opportunity presented by the fourth technological revolution in the Kondratiev wave, occurring once every 60 years [6] - An AI bubble may temporarily arise but will ultimately be supported by future commercialization; opportunities typically go through four phases: invisible, undervalued, misunderstood, and too late [7] - The current capital market is tasked with three historical missions: developing new productive forces, aiding major power technological competition, and repairing household balance sheets [8]

Group 1 - The core viewpoint of the article highlights the increasing allocation value of oil as a core energy commodity amid global economic fluctuations and the restructuring of commodity patterns [1][2] - The National Oil and Gas Index has significantly outperformed mainstream broad-based indices, with a one-year increase of 30.42% compared to the 23.06% increase of the CSI 300 Index, indicating strong growth momentum in the oil and gas sector [1][2] - The recent performance of the National Oil and Gas Index, which rose over 12% in the context of a 1% decline in the CSI 300 Index, demonstrates its resilience and leadership in the market [1][2] Group 2 - The performance of the oil sector is closely related to its current cyclical phase, with the Kondratiev wave theory suggesting that the sector is in a "depression phase," where commodity bull markets are often driven by monetary credit fractures [2] - The oil price is currently at a historically low ratio compared to gold and copper, indicating that oil is significantly undervalued, and 2026 may be a critical year for oil to complete its "catch-up" [2] - Domestic "anti-involution" benefits are also a key factor, as China's "three oil giants" are undergoing a profound value reassessment, attracting significant capital inflows [2] Group 3 - There are only two ETFs tracking the National Oil and Gas Index, with the Penghua Oil ETF (159697) experiencing continuous capital inflows, achieving a net inflow of 1.423 billion yuan over 19 out of the last 20 trading days [3] - The Penghua Oil ETF has a net inflow rate exceeding 520%, and its latest scale has reached 1.712 billion yuan, making it one of the largest ETF products in this sector [3] - For ordinary investors looking to participate in the "oil main stage" market without individual stock research capabilities, the Penghua Oil ETF (159697) is considered a convenient and efficient entry point [3]

Core Viewpoint - The article discusses the impending global economic shifts, including de-dollarization, the rise of AI, and the cyclical nature of economic trends, predicting significant inflation and subsequent monetary tightening by 2026 [2][4][5]. Group 1: Economic Cycles - The article emphasizes the end of a century-long economic cycle, marked by the disintegration of the old order and the emergence of new challenges such as income inequality, populism, and geopolitical tensions [6][12]. - It highlights the fourth technological revolution driven by AI, which is expected to lead to substantial capital expenditure in new infrastructure and reshape wealth distribution and national power [6][18][19]. Group 2: Real Estate Market - The real estate sector is entering a phase of differentiation, with a predicted 20% of the population moving to core cities while 80% in lower-tier cities face prolonged declines [7][21]. - The article forecasts that 2026 will see a stabilization in the real estate market, contingent on policy support such as relaxed purchase restrictions and lower interest rates [22][23]. Group 3: Capacity Cycle - The capacity cycle is undergoing a transition, with traditional industries facing capacity reduction while new productive forces, particularly AI, drive large-scale infrastructure investments [24][27]. - The article notes that the capacity cycle has reached a turning point, with improvements in supply-demand dynamics and a recovery in prices and corporate profits expected [25][29]. Group 4: Inventory Cycle - The inventory cycle is transitioning from passive destocking to active restocking, although the recovery is expected to be weak due to ongoing industry differentiation and external uncertainties [29][30]. - The article anticipates a potential exit from deflation in 2026, driven by factors such as anti-involution policies and external inflationary pressures [30][31]. Group 5: Debt Cycle - The article discusses the ongoing challenges in the debt cycle, particularly the need for households to repair their balance sheets while new productive enterprises increase leverage [34][35]. - It emphasizes the necessity for fiscal and monetary policy adjustments to support new productive forces and stimulate economic recovery [39][41]. Group 6: Policy Outlook - The article outlines five key policy areas for 2026, including maintaining a moderately loose monetary policy, proactive fiscal measures, and supportive real estate policies aimed at stabilizing the market [46][48]. - It suggests that the focus will shift from merely preventing overheating in the real estate market to encouraging sustainable growth and addressing housing affordability [48][49]. Group 7: Asset Class Outlook - The article predicts a "confidence bull market" in the stock market, driven by technological advancements and a favorable policy environment, with a focus on sectors like AI, semiconductors, and renewable energy [51][52]. - It also anticipates a significant year for commodities, with expectations of rising prices due to de-dollarization and increased demand from the AI sector [53][54].

证券研究报告 | 行业周报 gszqdatemark 2026 02 07 年 月 日 钢铁 惊涛之后 行情回顾（2.2-2.6）： 铁水产量增加，库存增幅扩大。本周全国高炉产能利用率回升，国内 247 家钢厂高炉产能利用率为 85.7%，环比+0.3pct，同比-0.1pct；五大品种 钢材周产量为 819.9 万吨，环比-0.4%，同比+1.4%；本周长流程产量增 加，日均铁水产量增 0.7 万吨至 228.6 万吨，钢材产量小幅下降，螺纹 钢产量降幅明显；库存方面，本周五大品种钢材周社会库存为 940.4 万吨， 环比+5.6%，同比-18.0%，钢厂库存为 397.3 万吨，环比+2.5%，同比- 24.1%；钢材总库存增幅扩大，周环比增加 4.6%，较上周增幅扩大 2.9pct，社会库存增幅大于钢厂库存；本周由产量与总库存数据汇总后的 五大品种钢材周表观消费 760.7 万吨，环比-5.1%，同比+22.3%，其中螺 增持（维持） 行业走势 -10% 0% 10% 20% 30% 40% 2025-02 2025-06 2025-10 2026-02 钢铁 沪深300 作者 分析师 笃慧 执业证书编 ...

第三，马斯克100万颗卫星发射计划及美国火星车执行AI任务进入正常轨迹，引发对商业航天产业链的 思考。商业航天往下延伸为太空光伏，执行任务过程中涉及人工智能，整个产业链属于新质生产力范 畴。科技是第一生产力，应淘汰旧产能，聚焦新质生产力、硬赛道、硬逻辑、硬业绩方向。 国内方面，第一，监管层面强调托底慢牛，不要跑得太快，将通过多种手段为市场降温，引导节奏慢下 来，抑制投机行为。 第二，具体降温措施包括关闭基金实时估值及热销榜，此前北上资金实时更新也已取消，收盘后方才披 露，体现管理层良苦用心。 现汇总周末消息面内容，包括三条国际动态、四至六条国内信息，以及操作策略建议。 国际方面，第一，黄金白银出现巨大波动，堪称暴跌。白银最低下杀35%，黄金波动剧烈，上涨时从 5100涨至5600用了五天中阳线加速，而从5600跌回5100仅耗时一小时，印证牛市多长阴、趋势未改的特 征。淘汰的多为投机分子及杠杆资金，毕竟前期涨幅过高。但黄金底层逻辑未变，地缘政治、避险需 求、全球央行持续增持，叠加美债压力与美元信用承压背景下，黄金作为法币硬通胀的逻辑依然坚挺， 此次调整为机会而非风险。不过切勿急于抄底，需等待止跌企稳信号，若尝 ...

Group 1 - The underlying logic of the non-ferrous metals, liquor, and large refining sectors is interconnected, driven by the anticipated liquidity from the Federal Reserve's QE in 2026, which is expected to enhance the super cycle of commodities [1][10] - The current investment in the large refining sector is likened to the investment in non-ferrous metals last year, with expectations of a significant price increase in oil and chemical products by 2026, following the patterns observed in the non-ferrous sector [2][14] - The "anti-involution" trend in China is contributing to the upward momentum in the large refining sector, as capital expenditure is being restrained, leading to a significant slowdown in new capacity additions and a clearing of inventories, which supports future price elasticity [3][16] Group 2 - The large refining sector is still at a low valuation level, with significant room for valuation recovery compared to the non-ferrous sector, which has already experienced a systematic valuation increase [4][21] - Recent inflows from public funds, foreign investments, and ETFs into the large refining sector indicate a timely opportunity for investment, as the sector is positioned for a major upward trend [6][27] - The upcoming Federal Reserve QE in 2026 is expected to create a favorable environment for the large refining sector, alongside the anticipated recovery in consumer demand and high-end manufacturing sectors [7][37]

在此背景下，石油ETF鹏华(159697)凭借其高透明度、低费率、高流动性等优势，为投资者提供了一键 布局油气板块的高效工具。无论是短期博弈地缘风险溢价，还是中长期把握能源周期反转机遇，该产品 均展现出突出的配置价值。 在当前全球宏观环境下，资源类资产正经历新一轮周期轮动。一般来说，在完整一轮康波周期(时间跨 度约 50~60 年)中，大宗商品可迎来两次超级周期投资窗口期，而目前全球大宗商品价格上扬整体正处 于第二轮周期的"康波萧条期激活层面"。同时基于历史复盘 1870 年代、1930 年代、1970 年代三次康波 萧条期商品轮动规律，可明显证明统一的演进之径：第一阶段贵金属走强；第二阶段工业金属紧随其 后；第三阶段能源(原油)上涨略微滞后；第四阶段则以农产品上涨完成最终轮动。 对应到当下，商品市场已进入第二阶段上端，工业金属逐步上行，但油价总体幅度尚有限，因此不少观 点建议2026 年高度关注石油油气板块。如西部证券分析指出，过去10多年，全球石油勘探领域的资本 开启趋势性回落，这会约束全球石油的中长期供给能力。2022年初俄乌冲突爆发之后，为了打击俄罗斯 的财政收入，美国以及经合组织快速抛售石油库存，打 ...

康波萧条期的资源繁荣 - 百年变局与资源价格 20260128 全球商品定价受金融和实物属性双重影响，美元主导金融属性，中国需 求主导实物属性，贱金属受实物供需驱动，贵金属受金融属性驱动，基 本金属兼具两者。 当前仍处于康波萧条期，AI 技术虽发展迅速但未广泛应用于工业领域， 难以构成新一轮康波回升，历次康波回升均伴随硬件革命，创造新需求 和就业。 中美贸易战并未改变全球贸易格局，仅导致贸易流向转移，关税措施无 法解决根本问题，只会促使供应链调整，如中国经东盟间接出口至美国， 美墨贸易增加。 中国正处于工业化成熟期，类似于 1976 年日本或 1,938 年美国，高端 制造业竞争力提升，低端劳动密集型产业外移，但仍具备较强发展潜力。 美国再工业化难以实现，制造业占国民经济比重持续下降，财政赤字与 贸易赤字存在孪生关系，削减贸易赤字需先削减财政赤字，但受内部结 构性问题制约。 Q&A 如何理解商品的金融属性和实物属性，以及它们在定价中的作用？ 商品的定价具有两个主要属性：金融属性和实物属性。实物属性指的是供应和 需求形成的产出缺口，而金融属性则涉及到计价货币的影响。在大宗商品市场 中，计价货币通常是美元，因此美 ...