Core Viewpoint - The recent adjustment in the A-share market is a result of profit-taking pressure and changes in expectations after a period of continuous gains, with a focus on the impact of domestic and international economic indicators and policies [1][4][44]. Changes in Expectations - **Decrease in Expectations for Incremental Policies and Cyclical Recovery**: The Politburo meeting in July did not announce significant new policies, emphasizing the need for macro policies to continue while being more detailed. The July PMI data showed a larger decline in domestic demand compared to external demand, indicating a slowdown in internal demand [1][9]. - **Increased Uncertainty Regarding the Fed's Rate Cut Schedule**: The Fed's July FOMC meeting maintained the current rate, with Powell expressing concerns about inflation and labor market resilience. Following disappointing non-farm payroll data, market expectations for a rate cut in September surged from 38% to 80% [2][20]. - **Diminished Expectations for Improvement in US-China Relations**: Recent US trade agreements with allies and ongoing tensions, such as the Nvidia H20 incident, have led to a more cautious outlook on US-China economic relations [3][27]. Unchanged Factors - **Global Monetary Easing and Abundant A-share Liquidity**: The environment remains supportive for equity markets, with the Politburo emphasizing the need for liquidity and lower financing costs. The two-margin financing has seen a net inflow of approximately 169 billion yuan from late June to the end of July [2][30]. - **Investor Bull Market Expectations Remain Intact**: Historical data shows that 5-10% pullbacks are normal during bull markets, and current investor sentiment remains high, suggesting a potential return to upward trends after adjustments [2][35]. - **Structural Prosperity in New Sectors**: The Ministry of Industry and Information Technology has outlined key areas for focus, including expanding domestic demand and technological innovation. Positive earnings forecasts are noted in sectors such as non-bank financials, metals, electronics, and agriculture [3][41].

Core Viewpoint - The non-bank financial sector is experiencing a divergence, with the insurance industry showing relative stability while the securities and diversified financial sectors are significantly impacted by market volatility [1] Group 1: Securities Industry - The trading volume in the securities industry has surged, with an average daily trading amount of 1.919 trillion yuan in early August, representing a 178% year-on-year increase and a 2.33% month-on-month increase [2] - The margin trading balance has expanded to 198.48 billion yuan, reflecting a 38.14% year-on-year increase, indicating a recovery in investor risk appetite [2] - The Hong Kong Stock Exchange has implemented reforms to optimize the IPO pricing and allocation mechanisms, effective August 4, aimed at enhancing pricing stability and attracting more quality companies to list [3] Group 2: Insurance Industry - The insurance industry has seen a key step in liability cost optimization, with the traditional insurance preset interest rate adjusted down to 1.99%, prompting major insurers to lower their preset rates by 25-50 basis points [5] - The life insurance premium income in Q2 2025 grew by 15.2% year-on-year, significantly outperforming Q1, while property insurance maintained steady growth with premiums reaching 964.5 billion yuan, a 5.1% year-on-year increase [6] - The insurance sector's estimated P/EV valuation range is between 0.60-0.91 times, indicating a historical low, with expectations of recovery in investment returns supporting valuation recovery [7]

Group 1: Market Overview - Recent market pullback primarily due to internal and external expectation adjustments, with the Hang Seng Index down 4.5% from its recent peak, compared to a 2.3% decline in the CSI 300[3] - External factors, such as rising US Treasury yields (up to 4.4%) and a strengthening US dollar (breaking the 100 mark), have exerted greater pressure on Hong Kong stocks compared to A-shares[5] - Southbound capital inflow surged to a net inflow of HKD 59 billion, marking the highest weekly inflow since April 11, 2025[6] Group 2: Investment Strategy - Emphasis on sectors with improving sentiment and low valuations, particularly in technology, gaming, and e-commerce leaders[2] - Recommended to focus on stocks with reasonable valuations and improving fundamentals, especially in the innovative pharmaceutical and non-bank financial sectors[7] - The report suggests a tactical approach centered around upcoming mid-year earnings reports, with a focus on companies expected to deliver strong earnings[7]

策 华福证券 2025 年 08 月 03 日 略 研 究 策 略 定 期 报 美国有望降息且推动通胀上升的概率较高——产 业经济周观点 投资要点： 近期观点 1、 美国经济内生性下行压力较大，预计财政和货币政策有望推 动美国经济维持稳定，且通胀压力不断上升。 团队成员 分析师： 李浩(S0210524050003) lh30530@hfzq.com.cn 分析师： 李刘魁(S0210524050006) llk30550@hfzq.com.cn 相关报告 1、医疗与消费周报——古方新用与现代科技双轮 驱 动 中 药 产 业 开 启 高 质 量 发 展 新 篇 — — 2025.08.03 2、医药生物 2 主题走出主升形态——2025.08.02 3、反转策略：红利滞涨下的超额选择 —— 2025.08.02 风险提示 全球制造业复苏受阻；中美关系改善不及预期；美国地产市场不 健康 证 券 研 究 报 告 2、 中国价格复苏后，对就业呈现正面影响，对产出或有抑制， 总量层面重点是出口价格能否持续改善。 3、 供给驱动的价格复苏更有利于资产价格上升，短期价格波动 对资本市场的影响较小。 4、 重点看好非银，低 ...

Core Viewpoint - The market is expected to enter a new phase of upward momentum in the second half of the year, potentially surpassing the peak levels anticipated for the second half of 2024 [1] Industry Focus - The report highlights several industries that are expected to perform well in the upcoming market environment, including home appliances, non-bank financials, electric power, and equipment [1]

Group 1 - The report anticipates a strong rebound in the A-share market in August 2025, with potential volatility due to alternating negative scores in the internal model [2][6][30] - The Hong Kong stock market is expected to follow a similar trend as the A-share market, with recent easing of pressure on the Hong Kong dollar from the US dollar index [2][6] - Growth style is likely to outperform in relative returns, while dividend sectors may perform moderately [2][6][30] Group 2 - The US stock market is projected to experience wide fluctuations in August, with high risk levels indicated by the risk trend model [2][6] - The gold market is assessed to have a medium risk level, with no significant overvaluation or undervaluation expected [2][6] - The report suggests a continued inverse fluctuation pattern between US stocks and gold, with attention needed on events driven by the "Trump 2.0" tariff framework [2][6] Group 3 - The domestic bond market is expected to show limited fundamental recovery, with a prevailing loose policy tone and overall interest rates likely to remain strong [2][6] - The US bond market is supported by fundamental pressures, easing supply, and rising risk aversion, contributing to a downward trend in interest rates [2][6] Group 4 - The report recommends a relatively balanced asset allocation strategy, anticipating a wide fluctuation market with ongoing structural opportunities [2][6]

Group 1 - The report indicates that the bond market pressure has eased, signaling a potential turning point. The marginal softening of the "anti-involution" policy has reduced inflation expectations, and recent deep corrections in commodity futures have alleviated panic in the bond market, enhancing the willingness of investors to enter the market [4][23][25] - The stock market is expected to maintain a volatile pattern in the short term, with the Shanghai Composite Index likely to fluctuate due to a vacuum in incremental policy. The omission of "rate cuts" in the recent political bureau meeting suggests a lower probability of new stimulus policies, shifting focus to the implementation of existing measures [5][25] - The report highlights two main investment directions: defensive stocks such as banks and non-bank financials that serve as stabilizers for the index, and opportunities in rare earths due to the US-China competition and price increases, as well as low-position opportunities in other thematic rotations [5][25] Group 2 - The report reviews significant events, including the continuation of US-China trade negotiations and the Chinese government's emphasis on stabilizing economic policies without aggressive measures like rate cuts. The meeting reiterated the need for a proactive macro policy while avoiding mention of "disorderly competition" [13][14] - The weekly market review indicates a rebound in the bond market, with a decrease in manufacturing PMI reflecting short-term disturbances in economic recovery. The report notes that the A-share market has seen a significant pullback, with some sectors reaching high valuations after a rapid increase since June [16][19] - The report tracks key indicators in the A-share and bond markets, noting that the yield curve remains historically low, and the valuation of A-shares has significantly adjusted downwards. The market's turnover rate has decreased, indicating lower trading enthusiasm and a decline in the profit-making effect [28][31][32]

Quantitative Models and Construction - **Model Name**: Volume Model **Construction Idea**: This model evaluates market trends based on trading volume changes over time [12][72] **Construction Process**: The model analyzes the trading volume of broad-based indices to determine short-term market sentiment. It transitions between "bullish," "neutral," and "bearish" signals based on volume dynamics [12][72] **Evaluation**: The model is effective in capturing short-term market sentiment but may require integration with other indicators for comprehensive analysis [12][72] - **Model Name**: Low Volatility Model **Construction Idea**: This model assesses market conditions by analyzing the volatility of indices [12][72] **Construction Process**: The model calculates the historical volatility of indices and assigns a "neutral" signal when volatility remains within a predefined range [12][72] **Evaluation**: The model provides a stable perspective on market conditions but may lag in highly volatile environments [12][72] - **Model Name**: Intelligent Algorithm Model (CSI 300 and CSI 500) **Construction Idea**: This model uses machine learning algorithms to predict market trends for specific indices [12][72] **Construction Process**: The model applies advanced algorithms to historical price and volume data, generating "bullish" signals for the CSI 300 and CSI 500 indices [12][72] **Evaluation**: The model demonstrates strong predictive capabilities for these indices, particularly in short-term scenarios [12][72] - **Model Name**: Limit-Up/Limit-Down Model **Construction Idea**: This model evaluates market sentiment based on the frequency of limit-up and limit-down events [13][73] **Construction Process**: The model tracks the number of stocks hitting daily price limits and assigns a "neutral" signal when no significant trend is observed [13][73] **Evaluation**: The model is useful for identifying extreme market conditions but may not capture subtle trends [13][73] - **Model Name**: Long-Term Momentum Model **Construction Idea**: This model identifies long-term trends by analyzing momentum indicators [14][74] **Construction Process**: The model calculates momentum metrics for indices like the SSE 50, which recently transitioned to a "bullish" signal [14][74] **Evaluation**: The model is effective for long-term trend analysis but may miss short-term fluctuations [14][74] - **Model Name**: A-Share Comprehensive Weapon V3 Model **Construction Idea**: This composite model integrates multiple signals to provide an overall market outlook [15][75] **Construction Process**: The model aggregates signals from various short-term, medium-term, and long-term models, currently indicating a "bearish" outlook [15][75] **Evaluation**: The model offers a holistic view but may dilute the impact of individual signals [15][75] - **Model Name**: HK Stock Turnover-to-Volatility Model **Construction Idea**: This model evaluates the Hong Kong market by analyzing turnover relative to volatility [16][76] **Construction Process**: The model calculates the ratio of turnover to volatility, currently signaling a "bullish" outlook for the Hang Seng Index [16][76] **Evaluation**: The model is effective for medium-term analysis but may require additional factors for short-term predictions [16][76] Model Backtesting Results - **Volume Model**: Short-term signal transitioned to "neutral" for most broad-based indices [12][72] - **Low Volatility Model**: Maintains a "neutral" signal [12][72] - **Intelligent Algorithm Model**: "Bullish" signals for CSI 300 and CSI 500 indices [12][72] - **Limit-Up/Limit-Down Model**: "Neutral" signal for medium-term analysis [13][73] - **Long-Term Momentum Model**: SSE 50 transitioned to "bullish" [14][74] - **A-Share Comprehensive Weapon V3 Model**: Overall "bearish" signal [15][75] - **HK Stock Turnover-to-Volatility Model**: "Bullish" signal for the Hang Seng Index [16][76]

证券研究报告|专题研究 25年08月02日 华福证券 反转策略：红利滞涨下的超额选择 证券分析师： 投资要点 研究助理： 周浦寒 S0210524040007 杨逸帆 S0210124110046 请务必阅读报告末页的重要声明 华福证券 2 华福证券 华福证券 反转策略或是当下新选择。当前，整体盈利降速，高景气行业缩圈；同时，红利资产的股债收益 差也开始回落。红利资产滞涨时，反转策略或是新选择。 反转行情，多在景气较弱时，与红利行情部分重合。而且，在红利滞涨时，反转存在超额机会。 基于盈利预期上修，我们构建了行业预期的反转模型。模型专注于行业盈利预期的变化，而且当 "低点上修"幅度超过阈值时发出反转信号。 行业盈利预期自低点上修25%、70%时，行业或对应出现长达4个月、1年的行情窗口。1)行业 盈利预期自低点上修25%后，4个月的区间内，行业胜率达到72%，平均跑赢全A指数5%。2)行 业盈利预期自低点上修70%后，4个月的区间内，行业胜率更是达到80%，平均跑赢全A7.8%； 1年的区间内，行业胜率达到80%，平均跑赢全A指数11.7%。 回测区间内，反转指数跑赢全A12%。而且，波动、回撤较全A有效降低 ...

个股方面，本周众生药业、英维克、天孚通信获主力净流入居前，分别为9.24亿元、6.17亿元、6.10亿 元；净流出方面，东方财富、比亚迪、宁德时代分别遭主力净流出38.63亿元、23.88亿元、19.12亿元。 按申万一级行业来看，本周仅银行、交通运输两个行业获主力资金青睐，分别获净流入22.24亿元、9.90 亿元；计算机、有色金属、电子、电力设备、机械设备、非银金融、基础化工七大行业遭净卖出金额居 前，均超百亿元。 ...