Core Viewpoint - The article discusses the author's investment journey, highlighting three major pitfalls and the lessons learned from them, ultimately advocating for a disciplined, diversified investment strategy that emphasizes index investing and dynamic rebalancing [2][3][4]. Group 1: Investment Pitfalls - Pitfall One: Speculative Traps - The author experienced significant losses during the "924 market" in 2024, where media hype led to a rush into the market, resulting in immediate losses after chasing high prices [2]. - Pitfall Two: Overestimating and Overinvesting - Initial small gains in U.S. stock investments turned into substantial losses after a major market drop in April 2025, emphasizing the danger of ignoring valuation safety margins [3]. - Pitfall Three: Illusory Diversification - The belief that holding multiple funds equated to risk diversification was proven wrong, as the portfolio was highly correlated, leading to extreme volatility [4]. Group 2: Investment Strategy - The author developed a low-correlation asset allocation strategy after learning about asset correlation theory, which includes a 30% allocation to a bond index as a stabilizing force [4]. - The ultimate investment philosophy distilled from three years of experience is summarized as: "Index investing, all-weather strategy, dynamic rebalancing," which aims to embrace market beta returns while balancing risk [4][5]. - The proposed asset allocation includes 15% in A-share dividend low volatility, 15% in A-share cash flow index, 15% in S&P 500, 15% in NASDAQ 100, 8% in gold ETFs, and 2% in crude oil futures for inflation hedging [4][5].

Global Asset Performance and Macro Trading Themes - Global major asset classes experienced a broad rally from June 16 to June 24, with risk assets represented by equities showing significant recovery [4][12] - The ceasefire announcement between Iran and Israel on June 24 positively impacted market sentiment, leading to a notable rebound in global risk assets, while safe-haven assets like gold retreated [4][13] Asset Allocation - Global Barbell Strategy - Long-term investors need to deeply interpret the direction of the reshaping world order and weigh the cost-effectiveness of various assets, while paying attention to asymmetric pricing risks in their portfolios [5][17] - The new paradigm is reinforced by three underlying logics: intensified de-globalization, misalignment of debt cycles, and trends in the AI industry, with the strategic focus remaining on the all-weather adjustment of the "global barbell strategy" [5][18] - A statistical analysis of historical U.S. recession trading intervals revealed the volatility amplification factors for various assets, with the ranking being: Nasdaq > India SENSEX30 > Hang Seng Tech > U.S. Treasuries > Gold > Chinese Bonds > Bitcoin > National Bond Convertible Bonds > A-share Dividends [5][18] - Adjustments to asset allocation based on revised volatility factors indicate an increase in weight for Chinese convertible bonds and A-share dividends, while reducing weight for Nasdaq, India SENSEX30, and Hang Seng Tech [5][18] Focus Data: Global Economic Data and Event Calendar - The economic data calendar from June 30 to July 13 includes significant indicators such as China's official manufacturing PMI for June, expected to be 49.5, and the U.S. ISM manufacturing PMI for June, expected to be 48.5 [20] - Other important data points include the unemployment rate in Germany and the Eurozone CPI for June, with the latter expected to be 1.9% [20]

Group 1 - The core idea of the article revolves around the All-Weather Strategy, which is favored by investors for its robust performance and ability to withstand cyclical fluctuations [1][3] - The All-Weather ETF launched by Bridgewater and State Street in March 2025 has a scale of approximately $204 million as of the end of May, with a leverage level of about 1.8 times [1] - The asset allocation of the All-Weather ETF as of March includes approximately 25% in stocks, 20% in commodities, and 55% in bonds, which is similar to the target allocation of the risk parity product RPAR [3][4] Group 2 - The All-Weather ETF has shown characteristics of a Beta strategy, primarily holding long positions, and has experienced significant fluctuations in the market, with a maximum drawdown of 8.78% shortly after its launch [3][4] - The maximum drawdown of the risk parity ETF RPAR with a leverage level of 1.2 times was about 8%, while the UPAR with a leverage level of 1.7 times had a maximum drawdown of approximately 11% [3] - The All-Weather ETF's drawdown is between the two risk parity ETFs, indicating a strong correlation with similar strategy products [3] Group 3 - The report explores various construction methods for the All-Weather Strategy, starting from the basic risk parity strategy and considering the application of All-Weather thinking within high-correlation equity assets [4][12] - The core idea of risk parity is to equalize the risk contribution of each asset in the portfolio, with a focus on achieving a balanced risk exposure across different macroeconomic scenarios [4][12] Group 4 - The article discusses the concept of "Scenario Parity," which involves identifying asset combinations that benefit from different macroeconomic conditions and allocating them based on risk parity [12][14] - The asset allocation for different macro scenarios includes stocks and commodities during economic growth, nominal bonds and gold during economic downturns, and inflation-protected bonds during rising inflation [12][13] Group 5 - The performance of the "Scenario Parity" strategy has been superior to traditional risk parity, with a static scenario parity combination yielding an annualized return of 5.01% compared to 4.00% for risk parity [17][18] - Dynamic combinations based on macroeconomic factors have shown even better performance, with the dynamic scenario parity strategy achieving an annualized return of 6.57% [17][18] Group 6 - The article emphasizes the importance of macro sensitivity in constructing portfolios, suggesting that using sensitivity measures can lead to more effective asset allocation compared to traditional regression methods [23][24] - The results indicate that portfolios constructed using macro sensitivity measures have better explanatory power and stability compared to those based solely on regression analysis [25][36] Group 7 - The All-Weather strategy can also be applied internally within equity assets, similar to a "barbell strategy," by calculating the exposure of sectors and stocks to various macroeconomic variables [28][29] - The performance of sector-based All-Weather combinations has shown significant improvement, with the scenario parity approach yielding higher returns and lower drawdowns compared to traditional risk parity [34][50]

Group 1 - The report discusses the re-evaluation of the All-Weather Strategy, emphasizing the need for a more balanced asset allocation approach in the context of China's low bond volatility, which leads to higher bond allocations than intended under traditional risk parity models [3][20]. - The concept of "Scenario Parity" is introduced, where asset allocation is based on different macroeconomic scenarios (growth and inflation), allowing for a more tailored asset basket that can enhance returns compared to traditional risk parity [3][21]. - The report highlights the performance of the All-Weather ETF launched by Bridgewater, which has shown resilience and recovery from market volatility, with a maximum drawdown of 8.78% shortly after its launch [8][12]. Group 2 - The report outlines the construction of a "Scenario Parity" portfolio using regression analysis to measure asset exposure to macroeconomic factors, resulting in a more effective asset allocation strategy that improves returns while reducing bond exposure [3][22]. - The performance metrics of various asset allocation strategies are compared, showing that the "Scenario Parity" approach yields higher annualized returns and lower drawdowns compared to traditional risk parity strategies [29][55]. - The report emphasizes the importance of macro sensitivity in constructing portfolios, demonstrating that portfolios based on sensitivity measures outperform those based solely on regression analysis, particularly in volatile market conditions [34][55]. Group 3 - The report explores the application of the All-Weather strategy within equity assets, indicating that a focus on macro exposure can lead to better risk diversification and performance, especially in uncertain market environments [41][43]. - The analysis of industry ETFs reveals significant differences in macro exposure, suggesting that a more nuanced approach to sector allocation can enhance overall portfolio performance [45][48]. - The report concludes that using macro sensitivity to guide asset selection within equity portfolios can lead to improved risk-adjusted returns, highlighting the effectiveness of this strategy in various economic scenarios [55][56].

Core Viewpoint - The article discusses the valuation of global stock indices, U.S. Treasury indices, and the performance of various markets, highlighting the recent trends in stock markets and the contrasting behavior of gold prices. Group 1: Global Stock Market Performance - The global stock market has continued to rise, recovering from a short-term drop in early April, with global indices returning to around 3.5 stars after previously falling to 4.1-4.2 stars [1] - U.S., European, and Asian stocks have generally increased, with Hong Kong's Hang Seng Index rising over 2% this week, recovering losses from the tariff crisis [1] - The Hang Seng Index has outperformed the A-share large-cap index by 20% since the beginning of the year, with the healthcare and technology sectors in Hong Kong also outperforming their A-share counterparts by 20% [1] Group 2: Gold Market Trends - Despite the rise in global stock markets, gold has experienced a downturn, correcting approximately 9% since its peak in early April [1] - The strength of the U.S. dollar and its impact on real interest rates have been significant factors influencing gold prices, with a strong dollar generally being unfavorable for gold [1] Group 3: Investment Strategies and Products - The article mentions the availability of global stock index funds in overseas markets, which total over a trillion dollars, but notes the lack of such funds in mainland China [8] - A "Global Index Advisory Portfolio" has been introduced, which diversifies investments across U.S., UK, Hong Kong, and A-share indices to track global stock market performance [9] - The article also highlights the release of a new edition of "The Long-Term Investment Guide," which emphasizes the importance of stock assets for wealth accumulation over the long term [11][12]

Group 1 - The core viewpoint of the article emphasizes that global major asset classes have shown significant recovery, particularly risk assets such as equities, commodities, and alternatives, following positive developments in US-China trade talks [4][10] - The "Global Barbell Strategy" is proposed as the optimal response for asset allocation in the context of a changing investment paradigm, focusing on three tactical opportunities for aggressive buying: improved win rates due to easing trade tensions, attractive valuations of Chinese assets, and liquidity issues leading to opportunities [5][13] - The article highlights that the strategic long-term view is influenced by three underlying logics: the intensification of de-globalization, misalignment of debt cycles, and trends in the AI industry, reinforcing the need for an all-weather strategy to balance risks and returns [5][13] Group 2 - Key financial indicators from May 5 to May 13 show a convergence in the SOFR-OIS spread, indicating a slight easing of US dollar liquidity, and an increase in the US financial conditions index, reflecting improved overall financial conditions [6][10] - The article provides a calendar of important global economic data releases and events from May 19 to June 1, including China's fixed asset investment and retail sales, as well as US initial jobless claims and GDP estimates [16] - The focus charts track global major asset dynamics, showing significant movements in various asset classes and their correlations, which are essential for understanding market trends and making informed investment decisions [17]

Core Viewpoint - The article discusses the current investment landscape, contrasting the volatility in the U.S. stock market with the relatively stable A-share market, suggesting that investors should adopt long-term strategies like "timed dollar-cost averaging" and "diversified asset allocation" to navigate market uncertainties [4][5]. Group 1: Timed Dollar-Cost Averaging - The concept of "timed dollar-cost averaging" is a localized adaptation of Benjamin Graham's "dollar-cost averaging," focusing on investing in quality assets with long-term appreciation potential [7][9]. - Quality assets are defined by their long-term value growth expectations and clear valuation benchmarks, with examples including high-dividend stocks and reasonably priced growth stocks [9][10]. - The banking sector in the A-share market is highlighted as a suitable investment direction due to its long-term intrinsic value and stable valuation benchmarks [10][13]. Group 2: Diversified Asset Allocation - Ray Dalio's "All Weather Strategy" emphasizes the importance of asset allocation based on macroeconomic indicators, categorizing economic conditions into four states and recommending asset classes that perform well in each [16][20]. - The strategy involves creating sub-portfolios for each economic state and then combining them into a larger portfolio, ensuring equal risk contribution from each sub-portfolio [20][21]. - In the A-share market, high-dividend stocks can be seen as having bond-like characteristics, while cyclical stocks are linked to commodity prices, allowing investors to find suitable targets across different economic phases [21][22]. Group 3: Conclusion - Both "timed dollar-cost averaging" and "diversified asset allocation" emphasize the importance of long-term asset preservation and growth, while minimizing short-term speculative trading [31][32]. - The article advocates for simple, clear, and effective investment strategies that can help ordinary investors navigate the complexities of market cycles [32][33].

以下文章来源于楚团长聊聊天 ，作者楚团长 楚团长聊聊天 . 春来不是赚钱天，夏日炎炎正好眠。秋来蚊虫冬又冷，揣好钱包待明年。 长按即可参与 风险提示：本文所提到的观点仅代表个人的意见，所涉及标的不作推荐，据此买卖，风险自负。 作者： 楚团长扯投资 来源：雪球 说来也是好笑 ， 特朗普2021年创立Truth Social （ 真实社交 ） 平台的初衷 ， 是因为其他主流平台承受 不住他的 " 胡言乱语 " ， 选择对其账号进行封禁 。 但当站在关税阴云波澜诡谲的当下 ， 本该贡献 " 真 相 " 的Truth Social平台 ， 反而在特朗普的高强度观点输出下 ， 批量制造了大量真伪难辨 、 朝令夕改的 矛盾内容 …… 如何应对特朗普对 " 真实Truth " 一词的重新解构 ？ 至少美股尚未找到答案 ， 否则美股各大权重指数也不 会在最近两周 ， 创出动辄±10%的宽幅波动 。 反观A股 ， 由于宏观政策路径相对清晰 ， 同时中央汇金等 " 类平准基金 " 平滑市场波动的意愿较为强烈 ， 所以A股投资者最近两周并未遭遇惊涛骇浪式的高波动冲击 ， 反而可以在流动性充裕的背景下 ， 寻找一 些可能的交易性机会 ...

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2020 年春，李迅雷给唐军派发了一个艰巨的课题：预测疫情拐点。 作为非流行病学专业人员，时任中泰证券金工首席的唐军有些困惑，这与投资有什么直接联系？但又很巧合， 大学期间的 唐军参加数学建模比赛 前 曾拿 2003 年非典练手，传染病传播模型 还有印象 。 唐军根据 封锁前 武汉迁出 到各省的 人数和 之后 各省上报 的确诊 人数，反推 当时 武汉感染人群数量，再根据疫情起始时间反推传播系数， 这一数据处理 上产生的效果远超模型精度本身。 最终经过测算，唐军预测对了感染高峰到来的时间。 有了经验后，美国疫情开始扩散，李迅雷又派发了一个艰巨的课题：美国能不能控住疫情？ 这一次，唐军意识到自己研究的课题，并不是与投资风马牛不相及。唐军知道人员流动性降到平时 30% 才能稳住疫情不扩散，「美国根本降不到，一定会 严重挤兑，即使医疗资源翻一倍也会挤兑。」 随后，唐军提示了做空原油，那年美油期货价格首次跌到负数。 这两次研究成果收录在李迅雷公众号，至今还能搜索到。三年后，唐军担任中泰资管组合投资部首席投资经理 ， 并开始管理公募 FOF 产品 ，李迅雷的指 导和这些与投资并不直接关联的研究，拓宽了他宏观的视野，潜移默 ...