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 ...

Group 1 - The report highlights a marginal improvement in domestic liquidity, while overseas fundamentals are expected to rebound from low levels, indicating a mixed outlook for major asset classes [4][24][37] - Commodity prices have generally declined due to weak global demand, with only gold experiencing a slight increase of 0.55% driven by risk aversion stemming from fluctuating U.S. tariff policies [4][9] - The A-share market is under pressure with a notable rotation of hot sectors, while developed markets, particularly the U.S., are performing strongly, nearing new highs due to resilient macro data and strong earnings from companies like NVIDIA [4][9][37] Group 2 - The report recommends increasing exposure to U.S. equities, particularly in the technology and consumer sectors, due to better-than-expected economic growth [5] - It suggests a neutral stance on gold, as growth differentiation supports it, but short-term pressures from declining risk aversion are noted [5] - A cautious outlook is advised for A-shares, as profit expectations remain weak and liquidity improvements may not offset growth and inflation pressures [5][50] Group 3 - The macroeconomic perspective indicates that China's Business Condition Index (BCI) remains above the threshold but shows signs of slowing expansion, with profit expectations deteriorating significantly [24][32] - The liquidity index has shown a continuous improvement, driven by policy signals, although the efficiency of transmission to the real economy remains weak [28] - Inflationary pressures are highlighted, with PPI expectations hitting new lows and CPI showing consecutive months of negative growth, indicating weak consumer demand [32][36]

Core Viewpoint - The article presents a comprehensive analysis of major asset classes from both macroeconomic and technical perspectives, indicating a generally favorable outlook for equities, bonds, industrial products, and gold, while highlighting specific trends and valuation metrics for each asset class [1][3][19]. Macroeconomic Perspective - The macroeconomic indicators suggest a positive outlook for equities, bonds, industrial products, and gold, with specific indicators showing varying degrees of influence on asset performance [5][19]. - The analysis employs T-tests to assess the impact of macroeconomic trends on asset returns, indicating significant differences in average returns under different macro conditions [3][4]. Technical Perspective - The technical analysis indicates that as of May 31, 2025, bond and gold prices are trending upwards, while equity and industrial product prices are trending downwards [9][10]. - Different methods are used to calculate trend indicators for various asset classes, with historical performance data guiding the selection of the most effective methods [7]. Valuation Metrics - The current equity risk premium (ERP) is at 82.51%, indicating that equity valuations are relatively low compared to historical averages [12][13]. - The analysis of funding flow metrics shows that the equity market is experiencing a net outflow of 1.3 billion yuan, suggesting a cautious sentiment among investors [15][16]. Asset Allocation Performance Tracking - Historical performance data indicates that the fixed ratio combined with macro and technical indicators yielded a return of 0.09% in May 2025, with an annualized return of 11.82% since April 2006 [2][20]. - The performance of various asset allocation strategies is tracked, showing that combinations of macro and technical indicators can enhance returns while managing risk [24][25].

大类资产配置·年中展望 - 寻找新灯塔 20250602 摘要 A 股市场正经历从早期经济修复红利到科技变迁的第二阶段演进，未来 一段时间内，将以市值较高的大盘股为基础，并围绕短期科技主题增厚 收益，同时关注大众品消费和成长性消费板块。 美元指数近期在 98 到 100 之间波动，走弱预期增强，但程度可能有限。 美国单边主义和贸易摩擦使得美元信用受损，各国央行增配黄金以减少 美元权重，长期来看美元偏弱但下修幅度有限。 美债利率长期将维持高位，25 年期国债中标利率突破 5%表明需求疲软， 债务问题加剧美元信用贬值。若 10 年期美债收益率突破 4.7%，可能引 发更大抛售，长端利率易涨难跌。 日本债券利率上升通过货币互换协议影响全球金融市场，若日债收益率 持续攀升，将影响美债需求。当前 10 年期日债与美债利差较小，一年 期日元外汇掉期显示市场预期日元升值，可能减少美债套息交易。 亚洲市场货币近期升值，与亚洲寿险业投资行为和美元资产期限错配风 险有关。若美元主导地位减弱，亚洲资本回流可能导致利率波动和资产 扰动，亚洲经济体经常账户余额对资本市场影响重大。 美债市场目前面临哪些挑战？ 美债经过前段时间利率大幅上 ...

Group 1 - The core viewpoint is that the Chinese capital market is showing unique resilience amidst global market turbulence, with increasing attractiveness for assets [1] - The quality of listed companies and investment returns are fundamental to capital market development, with total dividends expected to reach 2.4 trillion yuan in 2024 and share buybacks nearing 150 billion yuan, both setting historical records [1] - The regulatory efficiency across the entire chain of issuance, information disclosure, corporate governance, mergers and acquisitions, and trading has improved, leading to stricter penalties for serious violations such as financial fraud and insider trading [1] Group 2 - Uncertainty is expected to persist throughout 2025, with tariff impacts potentially leading to price declines or demand shocks for certain industrial products, indicating a continuation of low price trends [2] - In terms of asset allocation, A-shares are still considered to have superior valuation levels, while government bond yields have room to decline, with an anticipated "steep then flat" yield curve [2] - The RMB exchange rate is expected to show a fluctuating but generally strong trend in the second half of the year, given the balance of disruptive and supportive factors [2]

Core Viewpoint - 华夏基金 announced an adjustment to the performance benchmark of its 华夏聚恒优选三个月 (FOF) fund, reflecting a trend in the industry where fund performance benchmarks are being modified, although such changes are relatively rare for FOF funds [1][3]. Group 1: Benchmark Adjustment Details - The previous benchmark was "中证800指数收益率×45%+中证港股通综合指数收益率×5%+中债综合指数收益率×50%", which will be changed to "中证偏股型基金指数收益率×12.5%+经汇率调整后的标准普尔500指数收益率×12.5%+上海期货交易所有色金属期货价格指数收益率×3%+大连商品交易所豆粕期货价格指数收益率×3.5%+上海黄金交易所Au99.99现货实盘合约收益率×3.5%+中证纯债债券型基金指数收益率×65%" [2]. - The new benchmark includes six indices instead of three, providing a more balanced and diversified reference compared to the previous structure [2]. Group 2: Industry Context and Trends - The domestic public FOF sector has seen rapid growth since its inception in September 2017, with the number of funds reaching 512 and total assets growing to 1510.79 billion yuan, an increase of 179.29 billion yuan compared to the end of 2024 [3]. - Many FOF funds have previously had simple performance benchmarks, often limited to major stock and bond indices, which may not fully reflect the diversified asset allocation strategies employed by fund managers [3][4]. - Over 100 public fund products have changed their performance benchmarks this year, with multi-asset combination products being the primary focus of these changes [3]. Group 3: Market Evolution and Regulatory Changes - The evolution of the benchmark system is driven by the expansion of the securities market and innovation in financial instruments, with the number of listed companies in A-shares surpassing 5,000 [4][5]. - New regulations emphasize the importance of benchmark transparency and investor protection, requiring institutions to clarify that benchmarks reflect allocation frameworks rather than income commitments [5].