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]

Core Viewpoint - The article emphasizes the need for long-term investors to deeply interpret the reshaping of the global order and assess the cost-effectiveness of various assets, particularly in light of the increasing risks associated with U.S. recession and the implications of new investment paradigms [3][4][9]. Group 1: Introduction and Key Variables - The beginning of the year has seen two critical variables (Deepseek and reciprocal tariffs) that reinforce the underlying logic of a new investment paradigm characterized by increasing de-globalization, trends in AI industries, and debt cycles [3][12]. - The global risk premium has risen, potentially amplifying asymmetric pricing risks, particularly regarding the underpricing of recession risks in major asset classes [3][4]. Group 2: U.S. Recession Trading - Historical data shows that U.S. recession trading often begins 1-6 months before the National Bureau of Economic Research (NBER) officially declares a recession [4][42]. - Typical characteristics during U.S. recession trading include declines in U.S. stocks and industrial metals, falling 10-year Treasury yields, widening credit spreads, and defensive stocks outperforming cyclical stocks [4][47]. Group 3: Volatility During Recession Trading - During past U.S. recession trading phases, asset volatility has increased, with risk assets experiencing greater volatility than safe-haven assets [4][63]. - The volatility amplification factors for various assets have been ranked, with Nasdaq showing the highest, followed by the Indian SENSEX30 and Hang Seng Technology [5][70]. Group 4: All-Weather Strategy Model - The article discusses how to adjust the all-weather strategy model to correct the underestimation of U.S. recession risks in asset pricing [4][70]. - The model suggests increasing the allocation to Chinese convertible bonds and A-share dividends while reducing exposure to Nasdaq, Indian SENSEX30, and Hang Seng Technology based on their respective volatility amplification factors [5][70]. Group 5: Asymmetric Pricing Risks - The current global investment landscape shows a significant underestimation of U.S. recession risks, which presents an opportunity for asymmetric trading strategies that favor high potential gains with limited losses [4][24]. - The article highlights the importance of adjusting asset allocations to account for these asymmetric risks, particularly in light of the evolving global economic landscape [4][70].

Core Viewpoint - The article emphasizes the need for long-term investors to deeply interpret the reshaping of the global order and assess the cost-effectiveness of various assets, particularly in light of the increasing risks associated with U.S. recession and the implications of new investment paradigms [3][10]. Group 1: Introduction - The article discusses two key variables at the beginning of the year: Deepseek and equivalent tariffs, which reinforce the underlying logic of a new investment paradigm characterized by increasing de-globalization, trends in AI industries, and debt cycles [3][10]. - It suggests that the global risk premium has risen, potentially amplifying asymmetric pricing risks, particularly regarding the underpricing of recession risks in major asset classes [3][10]. Group 2: U.S. Recession Trading - Historical data indicates that U.S. recession trading often begins 1-6 months before the National Bureau of Economic Research (NBER) officially declares a recession [4][47]. - Typical characteristics during U.S. recession trading include declines in U.S. stocks and industrial metals, falling 10-year Treasury yields, widening credit spreads, and defensive stocks outperforming cyclical stocks [4][47]. Group 3: Volatility During Recession Trading - The article notes that during past U.S. recession trading phases, asset volatility has generally increased, with risk assets experiencing greater volatility than safe-haven assets [5][65]. - Specific examples include the Nasdaq and Hang Seng Index showing higher volatility compared to gold and U.S. Treasuries during recession periods [5][65]. Group 4: All-Weather Strategy Model - The article proposes an all-weather strategy model to adjust for the underestimation of U.S. recession risks, focusing on the asymmetric pricing risks present in current asset allocations [6][73]. - It ranks various assets based on their volatility amplification factors during past recession trading periods, with Nasdaq, Indian SENSEX30, and Hang Seng Technology leading the list [6][73]. - The model suggests adjusting asset weights based on these factors, increasing allocations to underweighted assets like Chinese convertible bonds and A-share dividends while reducing exposure to overvalued assets like Nasdaq and Indian SENSEX30 [6][73].

Core Viewpoint - Long-term investors need to deeply interpret the direction of the reshaping world order and weigh the cost-effectiveness of various assets, as two key variables (Deepseek and reciprocal tariffs) have further strengthened the underlying logic of a new investment paradigm [1] Group 1: U.S. Recession Trading - The initiation of recession trading often leads the actual declaration of recession by the NBER by an average of 1-6 months [1] - Typical characteristics of U.S. recession trading include declines in U.S. stocks and industrial metals, a decrease in 10Y U.S. Treasury yields, widening U.S. credit spreads, and defensive stocks outperforming cyclical stocks [1] Group 2: Asset Volatility During Recession Trading - Historical data shows that asset volatility increases during U.S. recession trading phases, with risk assets experiencing a greater increase in volatility compared to safe-haven assets [2] - Specifically, the volatility amplification factor for risk assets (e.g., Nasdaq, Hang Seng Index) is greater than that for safe-haven assets (e.g., gold, U.S. Treasuries, Chinese bonds, A-share dividends) [2] Group 3: All-Weather Strategy Model - Investors need to focus on the asymmetric pricing risks in their portfolios, particularly the underestimation of U.S. recession risks [3] - The ranking of volatility amplification factors for various assets during past U.S. recession trading periods is as follows: Nasdaq > India SENSEX30 > Hang Seng Tech > U.S. Treasuries > Gold > Chinese bonds > Bitcoin > A-share dividends [3] - Adjustments to asset allocation based on corrected 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 [3]

Core Viewpoint - The article emphasizes the need for long-term investors to deeply interpret the reshaping of the global order and assess the cost-effectiveness of various assets, particularly in light of the underestimation of U.S. recession risks in global asset pricing [3][20][46]. Group 1: Introduction - The beginning of the year has seen two key variables (Deepseek and equivalent tariffs) that reinforce the underlying logic of a new investment paradigm, characterized by increasing de-globalization, trends in AI industries, and debt cycles [3][10]. - The global risk premium has risen, potentially amplifying asymmetric pricing risks, with current global risk assets having largely recovered to levels prior to the imposition of equivalent tariffs [3][20]. Group 2: U.S. Recession Trading - Historical data shows that U.S. recession trading often begins 1-6 months before the National Bureau of Economic Research (NBER) officially declares a recession [4][47]. - Typical characteristics during U.S. recession trading include declines in U.S. stocks and industrial metals, falling 10-year Treasury yields, widening U.S. credit spreads, and defensive stocks outperforming cyclical stocks [4][47]. Group 3: Volatility During Recession Trading - During past U.S. recession trading phases, asset volatility has increased, with risk assets experiencing greater volatility than safe-haven assets [5][65]. - The volatility amplification factors for risk assets (e.g., Nasdaq, Hang Seng Index) are higher than those for safe-haven assets (e.g., gold, U.S. Treasuries) [5][65]. Group 4: All-Weather Strategy Model - The article discusses how to adjust the all-weather strategy model to correct the underestimation of U.S. recession risks in asset pricing [6][73]. - The model suggests that the risk parity principle should be applied based on the adjusted volatility of various assets, leading to changes in asset allocation [6][73]. - The revised model indicates an increase in allocation for Chinese convertible bonds and A-share dividends, while reducing allocations for Nasdaq and Indian SENSEX30 [6][73]. Group 5: Asymmetric Pricing Risks - The current global investment landscape shows a significant underpricing of U.S. recession risks, which presents an opportunity for asymmetric trading strategies [20][46]. - The article highlights the importance of adjusting asset allocations to account for the potential impact of U.S. recession risks on various asset classes [20][46].

Group 1 - The core viewpoint emphasizes the need for global asset allocation strategies centered around three main factors: de-globalization, debt cycles, and AI industry trends [1][2] - The proposed investment strategy is a "global barbell strategy," which includes stable assets on one end and high-yield, high-volatility assets on the other [1][2] - The current global economic uncertainty necessitates a focus on asymmetric pricing opportunities within various asset classes [2][3] Group 2 - The analysis indicates that the U.S. trade policy is unlikely to reverse the three underlying logics of the new investment paradigm, potentially increasing global political and economic uncertainty [2] - The recommendation includes a focus on defensive sectors in response to potential U.S. economic recession risks, alongside the necessity of gold as a sovereign credit asset [3] - The domestic market is currently in a debt contraction phase, transitioning from "passive leverage" to "active deleveraging," suggesting that domestic interest rate bonds hold long-term investment value [4] Group 3 - The "barbell strategy" is also applicable to strategic asset allocation in China, with a continued positive outlook on interest rate bonds and a focus on dividend assets and AI technology [4] - The AI sector, particularly represented by the "Tech Seven Sisters" in the U.S. market, has shown strong performance, but significant investment risks are present this year [4] - Recommended sectors include resilient dividend assets such as utilities, telecommunications, and banking, as well as industries benefiting from the AI trend, particularly those in the infrastructure to downstream application transition [4]

Core Viewpoint - The global asset allocation should focus on three core factors: de-globalization, debt cycles, and AI industry trends [1] Group 1: Investment Strategy - The current global economic uncertainty necessitates an investment strategy that adopts a "global barbell strategy," which includes both stable assets and high-yield, high-volatility assets [1] - The company maintains a positive outlook on investments in gold, short-duration U.S. Treasury bonds, Chinese interest rate bonds, and China's dividend assets combined with AI technology industries [1]

Introduction - The article discusses the "new investment paradigm" and highlights the ongoing restructuring of the global order, driven by unconventional methods to address the current global supply-demand imbalance [3][9]. Strategic Level - Global asset pricing significantly underestimates the risk of a U.S. recession, with a notable divergence in investor sentiment regarding the U.S. economy [3][18]. - The current market is seen as having a substantial mispricing of recession risks, particularly in U.S. assets, suggesting that a "recession trade" could be a favorable asymmetric trading strategy [3][52]. - The article emphasizes the need for long-term investors to deeply understand the direction of the global order's restructuring and to assess the cost-effectiveness of various assets [22][51]. Tactical Level - Short-term sentiment in global risk assets, particularly U.S. equities, is perceived to be overstretched, following a significant rebound catalyzed by tariff easing [5][53]. - Indicators such as the VIX futures returning to a contango state and the BNP global risk premium index reaching historical lows suggest high market sentiment but also an accumulation of risk [5][56]. - The article advises a contrarian approach to U.S. equity allocation, focusing on defensive sectors in the short term while monitoring developments in negotiations with key global players [5][64]. Macro Trading Background - The new investment paradigm is framed by three macro trading backgrounds: U.S. Treasury yields expected to remain high for an extended period, Chinese bond yields expected to remain low, and an elevation in the global risk premium [3][13]. - The article outlines the implications of these macroeconomic factors on global asset correlations and volatility, indicating a potential long-term disruption to existing asset allocation frameworks [13][18].

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]

戴康 CFA 广发证券发展研究中心 董事总经理（MD）、首席资产研究官 邮箱：daikang@gf.com.cn 报告摘要 ● 全球大类资产表现与宏观交易主线 ： （4.7-4.16），全球大类资产表现分化，黄金>发达>债券>新兴。（4.2- 4.4），对等关税落地当周，避险&风险资产普跌。（4.7-4.16），对等关税对于全球资产冲击的程度有所缓和， 但全球大类资产主线仍然围绕"避险交易"：避险资产的代表黄金已经率先企稳并大幅领涨；风险资产中，发达国 家和工业金属有所回补，而新兴市场表现仍偏弱。 ● 大类资产配置——新投资范式下，"全球杠铃策略"是反脆弱时代嬗变下全球资产配置的最佳应对。 我们在 25.4.9 《谋定而后动，做多的三个时机》 中提示：事件冲击的大波动中，全力做多的时机通常有三个：（1）胜 率提升—本轮要看到贸易摩擦缓和（跟踪观察）；（2）估值极便宜（中国资产不贵）；（3）流动性问题导致筹 码出清（可以是阶段性）带来机会。短期维持全球资产宜保持避险策略（中债瑞郎黄金）的判断，仍然建议以全 天候策略框架构建资产组合。中长期而言，关税强化了新范式的三大底层逻辑（逆全球化加剧、债务周期错位、 AI产 ...