Core Viewpoint - The financial management industry is undergoing a significant transformation towards "net value" as it adapts to regulatory guidance and customer demands, leading to a re-evaluation of risk and return dynamics in investment products [2][3][9]. Group 1: Market Transformation - The financial management market is entering a new phase of "net value" transformation, with a focus on balancing returns and risks as the era of guaranteed returns comes to an end [2][9]. - The transition to true net value has resulted in increased volatility in product net values, with a notable decline in the total scale of financial products from 27.65 trillion yuan at the end of 2022 to 25.34 trillion yuan by mid-2023 [3][5]. Group 2: Product Performance and Risk Management - The average yield of financial products has shown fluctuations, with monthly average yields recorded at 2.09%, 2.94%, and 2.65% for the years 2022, 2023, and 2024 respectively [5]. - A significant portion of financial products has experienced maximum drawdowns, with approximately 76% of products in 2022 exceeding 50 basis points, while in 2023 and 2024, over 70% of products had maximum drawdowns below 20 basis points [5][6]. Group 3: Investor Behavior and Product Supply - There is a notable mismatch between investor risk preferences and the actual risk classification of financial products, with 46.69% of investors showing a risk preference of C3 or above, while only 4.31% of products fall into the R3 category or higher [7][8]. - The industry has seen a trend towards product homogenization, driven by a focus on low-risk offerings, which has limited the diversity and potential returns of financial products [7][8]. Group 4: Future Strategies and Innovations - Financial companies are seeking to diversify their asset allocation strategies and align their performance assessments with client interests to ensure sustainable business development [9][10]. - Companies like Xingyin Wealth Management are adjusting their product offerings and performance benchmarks to better reflect market conditions and investor expectations, while also exploring new avenues for yield enhancement [9][10].

瞬汻煝疵 · ⪢槊㝕稝鰑☋ꏕ翞⽟間㷌 㐌罔⬐痓ꆱ┪ꮴ䛉뀔劻䉗㐙㠁✇鱂 ——⪢槊㝕稝鰑☋ꏕ翞⽟間㷌 2025 䌑 06 劓 15 傽 呦䖦間掾 ⮕卥䉞 匤鱪 (010-8092-7696 *yangchao_yj@chinastock.com.cn ⮕卥䉞溫駘罒焺S0130522030004 潸⪸煝疵 2025-06-10:甯㴼䉕嚤䗼䫌鰑㺥労 2025-05-29┪䉗⪫⺶䌔鯺ꓨ缀ꁹ匡〘◲假⺈ 2025-05-21⛽⯈椚僓♣姚嵌鰑分ꏕ翞⼅獏 2025-05-12⪸瓭罏⾕⟥⺵┬〘◲升㑊劔労⺇漩 2025-05-08耘臅⥈ 5 劓駖䛉⚷駖掾駬䫟⼴㐃ꄽ芤 ┱銻ꃹ뀔劻▇ꭊ耘臅⥈㠁✇䪹䭃 2025-05-07⪸ꨴ僓ꭊ虹掾溸䉘⚷┞䴗㲳ꓭ鄌侓 瞬甯䉗㐙甯뀔劻 2025-05-05䌑䫟⾕┞㳌䫟劔〘◲☗掾 2025-05-04◩┞⢏劻◜⚂唯槏䉗㐙㺥労 2025-04-254 劓╚㝠侓岖㹾⚷駖闌騣䭦缩甯㴼⾕ 嵛鳢鰑续䉗㐙臔撌〘◲做긖 2025-04-24⪫Ⳬ㕈ꓭ┞㳌䍳䭦♎ꓤ侒〘◲⟥⺵ 2025-04-08╚㎼曬䌐⬮㕈ꓭ埭疿⮃┿䳀䮵䉗㐙⟥䖦 2025-04-08寤ꓭ⪝䉗㑏㴼澚㝃 2025-04-06艧 2025 䌑◝㳌䍳䫌鰑㺥労♈⛓⡽ ...

新华财经上海6月14日电（葛佳明） 全球资产重新配置的大幕已经拉开，多元化投资显得尤为重要。日 前，新华财经对威灵顿投资管理高级董事总经理、亚太区总裁兼亚太区投资部总监普江宁（Janet A. Perumal）进行了采访，详谈大类资产配置与资管行业趋势。 普江宁认为，全球高通胀和市场高波动或成为常态，且随着全球市场和各个行业的不断扩展，宏观环境 正在发生转变。在一个波动性更强、分化程度更高的环境中，多元化投资将变得至关重要。她认为，中 国市场的吸引力增强，看好先进科技、先进制造业以及消费等板块潜力，中国债券的配置优势凸显，中 国资产成为其全球投资组合中一个多元化的超额收益来源。黄金在动荡之际配置需求仍较强，但走势料 更为温和，大宗商品板块的配置价值显现。 "美国例外论"受质疑，资金正流出美国 2025年以来，全球资金从"美元资产内部配置"转向"非美资产再配置"，投资者不断强调多元化资产配置 的重要性，同时评估其美元资产风险敞口。 在普江宁看来，多元化投资策略的重要性上升与宏观经济环境的转变密不可分。当前全球宏观经济环境 与过去二十年相比发生了根本性的变化。 "全球主要央行在此前应对危机时通常会同步降息、开启量 ...

Core Viewpoint - The domestic public FOF (Fund of Funds) market is experiencing a resurgence in issuance and product structure diversification, reflecting increasing investor recognition of these products as A-share indices stabilize and recover [1] Group 1: Market Performance - As of the end of Q1 2025, the total scale of domestic FOF funds increased by 13.46% to 1510.8 billion yuan, with 86% of FOF funds achieving positive returns, particularly in equity-oriented FOFs [1] - By June 4, 2025, the scale further grew to 1618.52 billion yuan, with leading performance from funds managed by ICBC Credit Suisse, Qianhai Kaiyuan, Tongtai, and Penghua [1][2] - The FOF market is being driven by institutional investors accelerating their layouts, supported by the high liquidity and low fees of ETFs, which are becoming core components of FOF portfolios [1] Group 2: Fund Performance - Multiple FOF products have shown stable performance, with ICBC's "Rui Zhi Jin Qu Yi Nian A" leading the equity FOF category with a return of 11.36% as of June 4, 2025 [3] - Other notable performers include "Qianhai Kaiyuan Yu Yuan" and "Tongtai You Xuan Pei Zhi" funds, with returns of 9.57% and 9.28% respectively [3] - ICBC's various pension FOF products, such as "ICBC Pension 2050Y" and "ICBC Pension 2045Y," are also ranking highly in their respective categories [5][6] Group 3: Investment Strategy and Trends - The FOF market is increasingly recognized as a key tool for personal pension investments, with a focus on target date and target risk FOFs to meet diverse investor needs [5] - ICBC Credit Suisse has established a comprehensive product line covering various retirement goals and risk profiles, demonstrating a long-term commitment to pension FOFs [8] - The dual strategy of "investment research platformization and track specialization" is crucial for FOFs to adapt to market changes and enhance their appeal to investors [9]

Core Viewpoint - The report from CICC suggests increasing resilience in asset allocation for the second half of 2025, advocating for a focus on safety assets such as gold, high-dividend stocks, and intermediate bonds while waiting for opportunities to increase allocation in growth-style stocks that represent the new technology wave [1] Group 1 - The recommendation emphasizes enhancing resilience in asset allocation strategies [1] - Suggested assets for increased allocation include gold, high-dividend stocks, and intermediate bonds [1] - The report indicates a cautious approach, aiming for steady progress while waiting for favorable conditions to invest in growth-style stocks [1]

Market Overview - The market continues to exhibit a "risk-off but not panic" sentiment, with commodities and Asia-Pacific equities leading the performance[4] - Natural gas and crude oil prices have surged due to OPEC+ production cuts and summer demand, breaking key resistance levels[4] - Silver prices have skyrocketed by 9% to $36 per ounce, the highest since 2012, driven by industrial demand and safe-haven buying[4] Asset Allocation Recommendations - Bond market shows strong value in short-duration high-grade credit bonds due to weak growth/inflation data and liquidity easing, but caution is advised as interest rate downside potential narrows[7] - U.S. equities are supported by economic resilience, although fundamental data shows marginal weakening[7] - Gold remains supported by slowing growth and safe-haven demand, but faces short-term pressure from risk appetite recovery[7] Economic Indicators - The Chinese Business Conditions Index (BCI) recorded 50.30, slightly above the expansion threshold but down 4.45 points from March's peak of 54.75, indicating a slowdown in economic momentum[40] - The U.S. economic surprise index has dropped to -6.7, reflecting weaker-than-expected high-frequency data, reinforcing rate cut expectations[53] Market Sentiment - The implied volatility (VIX) has reached a new low, indicating a market adaptation to the noise of tariff threats, with the dollar index down nearly 9% year-to-date, enhancing the appeal of non-U.S. assets[4] - A-share market liquidity is improving, with a daily average turnover of 1.186 trillion yuan, up 10.8% week-on-week, indicating increased investor participation[57] Risk Factors - Key risks include policy adjustment risks, market volatility risks, geopolitical shocks, economic data validation risks, and liquidity transmission risks[6][96]

[Table_Message]2025-06-08 金融工程周报 $$\pm\nwarrow\pm\nwarrow\pm\nwarrow\pm\nwarrow\pm\nwarrow\pm\nwarrow\pm$$ 海内外权益市场、贵金属上涨，权益、商品基金表现较好 [Table_Author] 证券分析师：刘晓锋 电话：13401163428 E-MAIL：liuxf@tpyzq.com 执业资格证书编码：S1190522090001 研究助理：孙弋轩 电话：18910596766 E-MAIL：sunyixuan@tpyzq.com 一般证券业务登记编码：S1190123080008 内容摘要 太 平 洋 证 券 股 份 有 限 公 司 证 券 研 究 报 告 请务必阅读正文之后的免责条款部分 守正 出奇 宁静 致远 [Table_Title] [Table_Summary] . 金 融 工 程 周 报 ◼ 大类资产市场概况：1）权益：本周 A 股市场中上证指数收盘 3385.36，涨跌幅 1.13%， 深证成指、中小板指数、创业板指、上证 50、沪深 300、中证 500、中证 1000、中证 2000、 ...

Group 1 - The overall market trend is expected to show a fluctuating adjustment pattern in June, with limited short-term adjustment space but potentially prolonged volatility [4][60] - The A-share market is anticipated to experience a strong adjustment, while the Hong Kong stock market may perform better due to healthier chip structures, exhibiting wide fluctuations [4][60] - In early June, the dividend style is expected to outperform, while growth sectors may be relatively weak; however, from mid-June, growth styles may gain relative advantages [4][60] Group 2 - The US stock market is projected to continue its fluctuations, with risk trend models indicating high risk levels; factors such as international trade court rulings and Trump policies will influence market sentiment [4][61] - The gold market is expected to maintain a medium risk level, with no significant overvaluation or undervaluation, and is likely to strengthen gradually, forming a reverse hedging relationship with US stocks [4][61] - The bond market is anticipated to remain in a narrow fluctuation pattern, with the interest rate center potentially rising due to short-term supply pressure, but the overall downward trend remains unchanged [4][60] Group 3 - The fund allocation recommendation suggests a relatively balanced configuration, anticipating a fluctuating adjustment market, and advising to wait for the right timing [4][60] - The equity macro-micro monthly low-frequency timing model indicates a score of 0 for June, suggesting a strong adjustment pattern, with historical data showing high win rates at this score [31][30] - The model evaluates the market based on five dimensions: fundamentals, liquidity, international factors, valuation, and technical aspects, with a clear view of changes in each dimension [30][37]

Quantitative Models and Construction Methods 1. Model Name: Macro Scoring Model - **Model Construction Idea**: The model evaluates macroeconomic factors to generate asset allocation signals, providing directional views on various asset classes such as equities, bonds, and commodities [13][15] - **Model Construction Process**: - The model aggregates multiple macroeconomic factors, including domestic and global indicators such as inflation, monetary policy, credit conditions, and economic sentiment - Each factor is scored, and the scores are combined to derive an overall macro score for each asset class - The scoring results are used to determine the directional view (e.g., bullish, neutral) for each asset class [13][15] - **Model Evaluation**: The model provides a systematic and data-driven approach to assess macroeconomic conditions and their implications for asset allocation [13] 2. Model Name: US Equity Timing Model - **Model Construction Idea**: This model aims to predict the medium-term performance of US equities by analyzing three dimensions: economic sentiment, capital flows, and financial stress [16] - **Model Construction Process**: - The model assigns equal weights to three sub-indicators: economic sentiment, capital flows, and financial stress - The latest readings of these indicators are aggregated to calculate a composite timing score - For example, the latest composite score is 52.5, reflecting a moderately positive outlook for US equities [16] - **Model Evaluation**: While the model maintains a bullish view, its effectiveness may be reduced due to data lag, particularly in the context of external shocks like tariff uncertainties [16] 3. Model Name: Gold Timing Model - **Model Construction Idea**: This model identifies the timing for gold investments based on macroeconomic risks, such as tariff disputes and rising US debt levels [19] - **Model Construction Process**: - The model uses a timing indicator that oscillates around a zero axis - The indicator reflects the balance of macroeconomic risks and their potential impact on gold prices - Currently, the indicator has fallen near the zero axis due to a temporary reduction in US deficits, but the long-term trend remains upward due to expected fiscal pressures [19] - **Model Evaluation**: The model highlights gold as a strong hedge against macroeconomic uncertainties, particularly in high-risk environments [19] 4. Model Name: Crude Oil Timing Model - **Model Construction Idea**: This model evaluates the outlook for crude oil prices based on global economic conditions and supply-demand dynamics [21] - **Model Construction Process**: - The model constructs an oil sentiment index, which currently stands at 0.3 - The index reflects factors such as stable global economic data and a weakening US dollar, balanced against risks from tariff policies and OPEC's production cycle [21] - **Model Evaluation**: The model suggests that crude oil prices are likely to remain range-bound due to mixed macroeconomic signals [21] --- Model Backtesting Results 1. Macro Scoring Model - **May Return**: 0.1% - **1-Year Return**: 8.0% - **Maximum Drawdown**: 3.3% [23] 2. US Equity Timing Model - **Latest Composite Score**: 52.5 [16] 3. Gold Timing Model - **Latest Indicator Value**: Near 0 axis [19] 4. Crude Oil Timing Model - **Latest Sentiment Index**: 0.3 [21]

| 1.前言 | 2 | | --- | --- | | 2.美国经济的基本情况展示 | 2 | | 3.美国重要宏观经济指标预测 | 5 | | 4.大类资产配置时钟信号 | 6 | | 5.其他跟踪指标 | 6 | | 6.总结 | 7 | | 图 | 1：美国重要宏观经济指标 | 2 | | --- | --- | --- | | 图 | 2：美大中小企业增长态势 | 2 | | 图 | 3：美国通胀率背板 | 3 | | 图 | 4：美国失业率背板 | 3 | | 图 | 5：美国联邦基金利率背板 | 3 | | 图 | 6：美国马歇尔 K 超额流动性度量 | 4 | | 图 | 7：主要利差走势 | 4 | | 图 | 8：美联储扩表行为 | 4 | | 图 | 9：美国实际利率跟踪 | 5 | | 图 | 10：美国 OECD 预测模型 | 5 | | 图 | 11：美国 CPI 预测模型 | 6 | | 图 | 12：大类资产配置时钟状态 | 6 | | 图 | 13：恐慌指数 VIX 涨跌幅 | 7 | 宏观研究 1.前言 本报告的目的在于，对美国经济情况进行跟踪从而更好的把握海外市场的基本面 ...