过去八个月，美股市场呈现出一幅诡异的图景：半导体行业 ETF（VanEck Semiconductor ETF）涨幅一 度超过 60%，供应链上的光模块、内存、封装测试公司股价翻倍甚至数倍，而作为核心引擎的英伟 达，股价却几乎原地踏步，陷入横盘震荡。 与此同时，英伟达的财报持续超预期，投行一致上调目标价，CEO 黄仁勋甚至在财报会上自嘲"无论好 坏都助长泡沫"。然而，市场用最冷静、甚至冷酷的方式回应——不涨。这一现象揭示了一个深刻的投 资真理：当问题不再关乎业绩，便只能关乎周期。 资本支出的天花板： 当巨头开始透支未来 来源：美股研究社 "当一家公司成为共识，它的回报率就开始递减。" 这句话在资本市场的长河中反复应验，如今正清晰地映照在英伟达（NVDA）身上。在人工智能最狂热 的时代，作为算力绝对霸主的英伟达，正在经历一场微妙的"价值背离"。这或许并非基本面的崩塌，而 是一场典型的资本周期律动。 但问题在于：市场早已预期。 AI 牛市的核心逻辑，从来不是抽象的"需求无限"，而是具体的"资本支出扩张"。 2023 年至 2025 年，全球云计算巨头和互联网平台掀起了一场史无前例的算力军备竞赛。微软、谷歌、 亚马 ...

陈子扬，是市场上为数不多的90后周期基金经理，他从入行至今已亲历周期牛熊，对周期理解深刻且心 存敬畏。 2017年清华大学研究生毕业后，陈子扬加入长城基金研究部，最初聚焦钢铁、有色等周期行业，后拓展 覆盖到家电、建筑建材等领域，此后又进一步延伸至化工、交运等。在长城基金完善的投研培养体系 下，陈子扬得以在不同周期细分领域深耕积累，为后续投资实践筑牢基础。 刚入行时，他正赶上供给侧改革行情，钢铁板块盈利大幅扩张。但到了2018年、2019年，不少钢厂 借"产能置换"名义扩张产能，为行业后续下行埋下隐患。 "一个行业从高盈利状态，变成全行业亏损，只需要短短两三年。"这段经历让他深刻体会到周期的残 酷，也更关注产业景气变化的逻辑。 来源：微信公众号"老陈聊资管" 以有色金属为代表的周期板块，无疑是今年以来A股市场最亮眼的主线之一。在美元走弱和全球流动性 边际宽松的大背景下，周期板块依然被普遍认为具有大级别的中长期行情。 复盘过去30年A股投资风格的演变脉络，周期基金经理的市场供给与个体命运，也随市场周期的波动轮 替而起落浮沉。在国内经济高速增长的上世纪九十年代到本世纪初，以"煤飞色舞"为代表的周期行业大 放异彩，成 ...

Group 1 - The report reviews the historical evolution of the U.S. stock market and establishes an A-share investment system based on the industrial lifecycle, which follows three financial stages: rapid growth, capital support, and maturity [2][3] - The key to this process is the full-cycle funding support and multi-channel exit strategies, with three long-term beta investment themes suggested: high complexity industries (biomedicine, semiconductors), high aggregation industries (new energy, consumer electronics), and high patent industries (high-end equipment) [2][3] Group 2 - The U.S. stock market has seen significant shifts in industry value distribution, moving from energy and industrial dominance to a focus on information technology and finance, reflecting the impact of technological revolutions and the transition from manufacturing to service-oriented economies [3][8] - The financial indicators of U.S. industries reveal a strong correlation with their lifecycle stages, characterized by distinct financial metrics that define each phase: rapid growth, capital market support, and maturity [8][9] Group 3 - In the rapid growth phase, industries experience peak revenue and capital expenditure growth, often exceeding 100%, while market valuations remain low due to high operational risks [9][10] - The capital market support phase is marked by rising company listings and industry value shares, with high valuation premiums and increased leverage, indicating a lag in market response to revenue growth peaks [10][12] - The maturity phase sees a shift towards efficiency, with stable net profit growth and return on equity (ROE), as companies begin to reward shareholders through dividends and buybacks [10][12] Group 4 - The report suggests that A-shares are currently in a critical transition period, moving from traditional real estate and infrastructure-driven growth to technology and innovation-driven growth, with long-term beta opportunities emerging in sectors that successfully navigate the technological "valley of death" [14][15] - Three sectors are identified as likely to replicate U.S. industry transformation: high complexity industries (biomedicine, semiconductors), high aggregation industries (new energy, consumer electronics), and high patent concentration industries (high-end equipment) [15][16] Group 5 - Financial analysis should adapt based on the lifecycle stage of industries, focusing on capital expenditure and revenue growth for high-growth tech firms, while emphasizing balance sheet health and valuation flexibility for industries in the capital support phase [17][18] - For mature industries, the focus should shift to cash flow stability and dividend policies, as reduced capital expenditure indicates a transition to profit harvesting [17][18]

Core Viewpoint - Marathon Capital focuses on two types of investment opportunities: "sustained advantage" (growth type) and "turnaround" (value type) companies, utilizing a framework called "return decay rate" to identify these investments [1][6]. Group 1: Investment Type A - Sustained Advantage - Investment Type A refers to companies that can maintain returns above market expectations for an extended period, often mispriced by the market due to short-term issues [3][6]. - A notable example is Apple during the period from 2014 to 2016, where its stock was undervalued due to temporary performance declines following Steve Jobs' death, leading to significant long-term gains for investors like Warren Buffett [3][6]. Group 2: Investment Type B - Turnaround - Investment Type B consists of companies in traditional industries that are overlooked by the market but possess certain advantages, with returns improving faster than general market expectations [6]. - The turnaround often occurs during periods of extreme pessimism, where market consolidation or the exit of weaker competitors creates favorable conditions for the remaining companies [6]. Group 3: Investment Patience and Timing - Successful investments require patience, as the majority of the time is spent waiting for the company to deliver strong performance, with the actual realization of returns being a small fraction of the investment period [10][14]. - The case of Pop Mart illustrates that the best buying opportunities often arise during periods of short-term performance decline and market pessimism, as seen when its stock price fell significantly in 2022 [10][12]. Group 4: Historical Investment Examples - The investment journey of Pop Mart shows that despite an 80% decline in stock price over two years, a subsequent recovery led to a fivefold return after holding for over four years [9][10]. - Warren Buffett's investment in BYD, where he bought shares at HKD 8 and saw a tenfold increase within a year, exemplifies the potential for significant returns despite long periods of underperformance [13][14].

Core Viewpoint - The value in the AI infrastructure market is expected to shift from chip manufacturers like NVIDIA to cloud service providers, but this perspective is challenged by the current economic realities of data centers and intense competition from Chinese firms [1][2]. Group 1: Cloud Profitability Reality - Cloud service profitability is significantly lower than anticipated, as evidenced by Oracle's data center gross margin disclosures, which reveal limited profitability even after accounting for GPU depreciation [3][4]. - The economic model resembles a monopoly upstream (NVIDIA) extracting major profits, while the downstream (cloud services) faces fierce competition and high costs, leading to limited profits [4][5]. Group 2: Downstream Application and Competition - Downstream profits are not as optimistic as market expectations, with many enterprises finding token demand lower than anticipated and economic benefits from tokens not materializing immediately [6][7][8]. - The competition from Chinese firms, particularly Alibaba's Qwen series, is reshaping cost structures with significantly lower token prices, creating downward pressure on pricing [10][11][20]. Group 3: Capital Cycle Perspective - The AI infrastructure investment is projected to exceed $4 trillion over the next 5-7 years, with signs of overcapacity and declining unit profits reminiscent of the historical railway boom [23]. - Key indicators of a potential cycle turning point include declining utilization rates, intensified price wars, and tightening financing conditions [23]. Group 4: Future Value Distribution - The ultimate value in AI is expected to flow towards application developers rather than cloud service providers, as chip manufacturers currently extract high profits, but as model costs decrease, the real profits will shift to AI enterprise software and vertical industry solutions [24][25]. - Alibaba's low-price strategy for tokens indicates a future where tokens become cheap and replaceable resources rather than high-margin products [26].

Core Viewpoint - Recent reports indicate a significant reduction in holdings of Chinese concept stocks by major global funds, particularly in the electric vehicle (EV) sector, raising questions about the motivations behind this capital withdrawal and its implications for the industry [4][6]. Group 1: Capital Withdrawal Reasons - Major hedge funds, including Bridgewater, have reduced their stakes in Chinese EV companies, with capital recouped estimated between $1.4 billion to $1.5 billion [4]. - The withdrawal of capital may be seen as a natural market behavior, reflecting a phase of profit-taking after achieving high returns, as many foreign investors have realized substantial gains from their investments in Chinese EVs [5][6]. - The current phase of capital withdrawal may also be temporary, influenced by technological bottlenecks in the industry, particularly regarding solid-state battery commercialization [5]. Group 2: Industry Growth and Challenges - The Chinese EV market has experienced rapid growth but is now facing challenges such as high penetration rates, low growth, and low profit margins, leading to cautious investment behavior [7][9]. - The market's growth rate has slowed from triple digits to double or single digits, indicating a transition towards a more sustainable and healthy development phase [7][8]. - Increased competition and the need for continuous R&D investment are impacting profit margins, with some companies investing more in R&D than their quarterly profits [8]. Group 3: Future Outlook and Strategies - To navigate the capital cycle, Chinese EV companies must focus on technological innovation and cost control, building a robust ecosystem encompassing R&D, manufacturing, and supply chains [10]. - The market is witnessing a shift towards high-end and differentiated products, with domestic brands beginning to penetrate the high-end market traditionally dominated by foreign brands [10][11]. - Diversifying financing options, including secondary listings and strategic partnerships, is essential for enhancing resilience against capital market fluctuations [11].

Core Insights - Howard Marks, co-founder of Oak Tree Capital, predicts that the S&P 500 may yield only single-digit returns over the next decade, indicating a pessimistic outlook for investors [1] - Marks emphasizes that optimism can lead to cognitive dissonance, where investors ignore negative factors for extended periods, which is relevant to the current local bull market in A-shares [1] Summary by Sections Investment Philosophy - Marks shares wisdom that the best buying opportunities often arise when market consensus is at its lowest, highlighting a quote from a retired trader [2] - He encourages investors to self-reflect on common mistakes they may be making in their investment strategies [2] Recommended Readings - The article suggests additional insightful content, including discussions on U.S. debt challenges, investment strategies from Baillie Gifford regarding Netflix, and insights into capital cycles from industry experts [2]

Core Viewpoint - The article emphasizes the investment philosophy of Dai Bin, a fund manager at Liuhe Zhizun, who adheres to the "capital cycle" concept, focusing on supply-side analysis rather than demand predictions [4][7][20]. Group 1: Investment Philosophy - Liuhe Zhizun is one of the earliest private equity firms in China, known for its resilience through multiple market cycles [3]. - Dai Bin's investment framework incorporates four dimensions: stock behavior, capital expenditure, institutional behavior, and valuation, using a quadrant model to illustrate the cyclical nature of capital cycles [6][20]. - The analysis starts from the supply side, asserting that changes in capital supply better explain return differences than demand fluctuations [7][20]. Group 2: Capital Cycle Framework - The capital cycle is defined as the flow of capital in and out of industries based on returns, where high returns attract capital and low returns lead to capital exit [16]. - The four quadrants of the capital cycle are: 1. Quadrant 4: Low industry valuation, declining capital expenditure, and negative media sentiment. 2. Quadrant 1: Recovery phase with increasing capital expenditure and improving cash flows. 3. Quadrant 2: High capital expenditure and profit recovery, leading to optimistic market sentiment. 4. Quadrant 3: High valuations declining as cash flow issues arise and capital contracts [22][20]. Group 3: Industry Analysis - The article discusses the importance of identifying high-barrier companies and industries experiencing capital outflows for investment opportunities [18][19]. - It highlights the significance of management's long-term capital planning capabilities, including new capital expenditures, mergers, and buybacks [19]. - The analysis categorizes companies into those with free cash flow and those without, emphasizing that industries with low capital expenditure often present better investment opportunities [30][34]. Group 4: Market Conditions and Opportunities - The current market is characterized by high valuations in certain sectors, with limited cheap stocks available [46][48]. - The article notes that sectors like telecommunications and energy remain undervalued, while the internet sector shows signs of capital cycle challenges [42][44]. - It suggests that the "反内卷" (anti-involution) policy could create opportunities in previously over-supplied sectors if successful [54][65]. Group 5: Future Outlook - The article concludes that while the AI sector is currently a high consensus area, caution is advised as supply may outstrip demand in the future [58][61]. - It emphasizes the need to balance investments between high consensus sectors and those with potential recovery opportunities, suggesting a gradual reduction in high consensus positions [64][68].

Group 1 - The core idea of the article emphasizes the importance of understanding capital cycles when investing in commodities and cyclical stocks, suggesting that high returns attract capital while low returns repel it, leading to predictable fluctuations in shareholder returns [4][5][6] - The article discusses the significance of identifying industries undergoing large down cycles that require funding, followed by a detailed analysis of individual companies' fundamentals to find stocks trading below their intrinsic value [4][5] - It highlights the necessity of conducting stress tests on selected companies to ensure their debt levels are manageable and their survival during economic downturns [5] Group 2 - The author shares personal experiences in commodity investing, particularly in the sugar industry, illustrating the challenges faced when initial investments did not yield expected results, which ultimately led to a deeper understanding of the sector [12][13] - The article mentions the importance of continuous learning and adapting investment strategies based on market conditions, as demonstrated by the author's shift in focus to graphite electrode companies in India [16][21] - It emphasizes that successful commodity investments often require a contrarian approach, buying during periods of pessimism and selling when the market is overly optimistic [5][32] Group 3 - The article outlines key indicators of capital cycle risks, such as monitoring capital expenditures, asset growth, and the frequency of investment banking activities in specific industries [14][8] - It discusses the significance of understanding supply dynamics in commodity markets, noting that many investors focus primarily on demand while neglecting supply factors that can significantly impact returns [9][29] - The author stresses the need for investors to remain vigilant and manage risks effectively, particularly in volatile commodity markets where prices can fluctuate dramatically [32][35]

Core Insights - The key to understanding the capital cycle is recognizing how changes in capital allocation within an industry affect future returns, emphasizing the importance of supply-side changes over demand analysis [3] - Industry concentration exhibits an inverted U-shaped distribution throughout different stages of the corporate lifecycle, transitioning from high competition to oligopoly, with dividend yields increasing as companies evolve from recovery to maturity [3] - Current recommended secondary industries include aquaculture, animal health, components, consumer electronics, communication services, advertising, television broadcasting, real estate services, shipping ports, logistics, and railroads [3] Section Summaries 01 Capital Cycle: Supply and Concentration Considerations - The capital cycle framework prioritizes supply and concentration changes over economic conditions, indicating that supply fluctuations drive industry profitability [4] 02 Historical Positioning of Capital Cycles in Sub-Industries - The report categorizes 124 sub-industries based on their capital cycle status from Q3 2008 to Q1 2025, using concentration, profit growth, and capital expenditure growth as key indicators [27] 03 Current Capital Cycle Stages of Various Industries - The analysis identifies industries in optimal or suboptimal capital cycle phases, allowing for targeted investment recommendations [39] 04 Capital Cycle Principles and Case Studies in the US and Japan - The report discusses the principles of capital cycles in the US and Japan, providing case studies that illustrate the application of these principles across different market environments [4] 05 Viewing Capital Cycles Through the Lens of "Anti-Overwork" - The report suggests that the current economic environment, characterized by a push against overwork, influences capital allocation and industry dynamics [4]