1. Report Industry Investment Rating No relevant content provided. 2. Core Viewpoints of the Report - Today, the convertible bond market followed the equity market's upward trend, with valuations rising on a month - on - month basis. The trading sentiment in the convertible bond market weakened [1]. - The convertible bond price center increased, and the proportion of high - price bonds rose. The overall weighted average closing price of convertible bonds was 124.13 yuan, up 0.43% from yesterday [2]. - Valuations increased. The fitted conversion premium rate for 100 - yuan par value was 25.30%, up 0.71 pct from yesterday [2]. - In the industry performance, more than half of the underlying stock industry indices rose, with 17 industries rising in the A - share market and 18 in the convertible bond market [3]. 3. Summary by Related Catalogs 3.1 Market Main Index Performance - The CSI Convertible Bond Index rose 0.40% month - on - month, the Shanghai Composite Index rose 0.48%, the Shenzhen Component Index rose 0.47%, the ChiNext Index rose 0.22%, the SSE 50 Index rose 0.62%, and the CSI 1000 Index rose 0.25% [1]. - Small - cap value stocks were relatively dominant. Small - cap value stocks rose 1.06%, while large - cap growth stocks rose 0.14% [1]. | Index Code | Index Name | Closing Price | Daily Change (%) | Weekly Change (%) | Monthly Change (%) | YTD Change (%) | | --- | --- | --- | --- | --- | --- | --- | | 000832.CSI | CSI Convertible Bond | 450.71 | 0.40 | 1.43 | 3.45 | 8.72 | | 889033.WI | Convertible Bond Equal - Weighted | 213.99 | 0.28 | 0.99 | 2.56 | 10.04 | | 8841324.WI | Convertible Bond Index | 1960.13 | 0.34 | 1.94 | 4.41 | 18.75 | | 884257.WI | Convertible Bond Pre - plan | 1713.71 | 0.21 | 1.32 | 5.18 | 17.43 | | 000001.SH | Shanghai Composite Index | 3509.68 | 0.48 | 1.59 | 3.23 | 4.71 | | 399001.SZ | Shenzhen Component Index | 10631.13 | 0.47 | 2.10 | 3.72 | 2.08 | | 399006.SZ | ChiNext Index | 2189.58 | 0.22 | 3.10 | 6.22 | 2.24 | | 000016.SH | SSE 50 Index | 2756.93 | 0.62 | 1.26 | 2.61 | 2.69 | | 000852.SH | CSI 1000 Index | 6406.57 | 0.25 | 1.54 | 3.02 | 7.53 | [7] 3.2 Market Capital Performance - The trading volume in the convertible bond market was 66.907 billion yuan, a 1.57% decrease from the previous day. The total trading volume of the Wind All - A Index was 1.515068 trillion yuan, a 0.81% decrease from the previous day [1]. - The net outflow of main funds from the Shanghai and Shenzhen stock markets was 21.158 billion yuan, and the yield of the 10 - year Treasury bond rose 1.70 bp to 1.66% [1]. 3.3 Convertible Bond Price and Valuation - The overall closing - price weighted average of convertible bonds was 124.13 yuan, up 0.43% from yesterday. The closing price of equity - biased convertible bonds was 164.25 yuan, down 0.91%; that of bond - biased convertible bonds was 115.18 yuan, up 0.46%; and that of balanced convertible bonds was 124.13 yuan, up 0.29% [2]. - The proportion of bonds with a closing price above 130 yuan was 33.19%, up 1.57 pct from yesterday. The largest change in proportion was in the 100 - 110 (including 110) range, with a proportion of 3.19%, down 1.08 pct from yesterday. There were 2 bonds with a closing price below 100 yuan [2]. - The median price was 125.74 yuan, up 0.51% from yesterday. The fitted conversion premium rate for 100 - yuan par value was 25.30%, up 0.71 pct from yesterday. The overall weighted par value was 94.96 yuan, up 0.51% from yesterday [2]. 3.4 Industry Performance - In the A - share market, the top three rising industries were real estate (+3.19%), petroleum and petrochemicals (+1.54%), and steel (+1.44%); the top three falling industries were automobiles (-0.62%), media (-0.54%), and national defense and military industry (-0.41%) [3]. - In the convertible bond market, the top three rising industries were environmental protection (+2.50%), coal (+1.39%), and non - bank finance (+0.95%); the top three falling industries were communications (-0.92%), agriculture, forestry, animal husbandry and fishery (-0.67%), and media (-0.24%) [3]. - In terms of different sectors: - Closing price: The large - cycle sector rose 0.81%, the manufacturing sector rose 0.05%, the technology sector fell 0.22%, the large - consumption sector rose 0.12%, and the large - finance sector rose 0.66% [3]. - Conversion premium rate: The large - cycle sector decreased 1.1 pct, the manufacturing sector increased 0.32 pct, the technology sector increased 0.024 pct, the large - consumption sector decreased 0.13 pct, and the large - finance sector decreased 0.34 pct [3]. - Conversion value: The large - cycle sector rose 1.12%, the manufacturing sector fell 0.41%, the technology sector fell 0.25%, the large - consumption sector rose 0.07%, and the large - finance sector rose 0.96% [3]. - Pure - bond premium rate: The large - cycle sector rose 1.0 pct, the manufacturing sector rose 0.046 pct, the technology sector fell 0.28 pct, the large - consumption sector rose 0.11 pct, and the large - finance sector rose 0.77 pct [4]. 3.5 Industry Rotation - Real estate, petroleum and petrochemicals, and steel led the rise. For example, real estate had a daily increase of 3.19% in the underlying stock market, and its PE (TTM) 3 - year quantile was 97.80%, and PB (LF) 3 - year quantile was 51.03% [53].

1. Report Industry Investment Rating No relevant content provided in the report. 2. Core Views of the Report - The convertible bond market declined with reduced trading volume today, and the valuation compressed on a month - on - month basis [1]. - The small - cap value style was relatively dominant in the market [1]. - The trading sentiment in the convertible bond market weakened [1]. 3. Summary by Related Catalogs Market Overview - Index performance: The CSI Convertible Bond Index decreased by 0.25% month - on - month, the Shanghai Composite Index decreased by 0.13%, the Shenzhen Component Index decreased by 0.06%, the ChiNext Index increased by 0.16%, the SSE 50 Index decreased by 0.26%, and the CSI 1000 Index decreased by 0.27% [1]. - Market style: Small - cap value was relatively dominant. Large - cap growth decreased by 0.23%, large - cap value decreased by 0.13%, mid - cap growth decreased by 0.60%, mid - cap value decreased by 0.17%, small - cap growth decreased by 0.32%, and small - cap value decreased by 0.01% [1]. - Fund performance: The trading sentiment in the convertible bond market weakened. The trading volume of the convertible bond market was 67.972 billion yuan, a month - on - month decrease of 9.64%; the total trading volume of the Wind All - A Index was 1527.42 billion yuan, a month - on - month increase of 3.58%; the net outflow of the main funds in the Shanghai and Shenzhen stock markets was 28.594 billion yuan, and the yield of the 10 - year Treasury bond increased by 0.02bp to 1.64% on a month - on - month basis [1]. Convertible Bond Price - The central price of convertible bonds decreased, and the proportion of high - price bonds decreased. The weighted average closing price of convertible bonds was 123.61 yuan, a month - on - month decrease of 0.24%. Among them, the closing price of equity - biased convertible bonds was 165.61 yuan, a month - on - month decrease of 1.49%; the closing price of bond - biased convertible bonds was 114.66 yuan, a month - on - month decrease of 0.30%; the closing price of balanced convertible bonds was 123.78 yuan, a month - on - month decrease of 0.38% [2]. - From the distribution of convertible bond closing prices, the proportion of high - price bonds above 130 yuan was 31.62%, a month - on - month decrease of 1.28pct; the range with the largest change in proportion was 100 - 110 (including 110), with a proportion of 4.27%, a month - on - month increase of 0.85pct; there were 2 bonds with a closing price below 100 yuan. The median price was 125.10 yuan, a month - on - month decrease of 0.32% [2]. Convertible Bond Valuation - Valuation compressed. The fitted conversion premium rate of 100 - yuan par value was 24.59%, a month - on - month decrease of 0.87pct; the overall weighted par value was 94.52 yuan, a month - on - month decrease of 0.18% [2]. - The premium rate of equity - biased convertible bonds was 6.43%, a month - on - month increase of 0.04pct; the premium rate of bond - biased convertible bonds was 94.34%, a month - on - month increase of 2.34pct; the premium rate of balanced convertible bonds was 17.97%, a month - on - month increase of 0.30pct [2]. Industry Performance - In the A - share market, the top three industries in terms of increase were media (+1.35%), agriculture, forestry, animal husbandry and fishery (+0.65%), and commerce and retail (+0.48%); the top three industries in terms of decline were non - ferrous metals (-2.26%), basic chemicals (-0.85%), and electronics (-0.82%) [3]. - In the convertible bond market, 22 industries declined. The top three industries in terms of decline were building materials (-1.83%), national defense and military industry (-1.39%), and communication (-0.87%); the top three industries in terms of increase were environmental protection (+5.76%), coal (+0.89%), and media (+0.28%) [3]. - Closing price: The large - cycle increased by 0.72% month - on - month, manufacturing decreased by 0.39%, technology decreased by 0.65%, large - consumption decreased by 0.07%, and large - finance decreased by 0.14% [3]. - Conversion premium rate: The large - cycle decreased by 0.21pct month - on - month, manufacturing decreased by 0.055pct, technology decreased by 0.41pct, large - consumption decreased by 0.19pct, and large - finance decreased by 0.083pct [3]. - Conversion value: The large - cycle increased by 0.94% month - on - month, manufacturing decreased by 0.40%, technology decreased by 0.42%, large - consumption increased by 0.14%, and large - finance increased by 0.72% [3]. - Pure bond premium rate: The large - cycle increased by 0.91pct month - on - month, manufacturing decreased by 0.52pct, technology decreased by 0.97pct, large - consumption decreased by 0.097pct, and large - finance decreased by 0.17pct [4]. Industry Rotation - Media, agriculture, forestry, animal husbandry and fishery, and commerce and retail led the rise. In the stock market, media had a daily increase of 1.35%, agriculture, forestry, animal husbandry and fishery had a daily increase of 0.65%, and commerce and retail had a daily increase of 0.48%. In the convertible bond market, media had a daily increase of 0.28%, environmental protection had a daily increase of 5.76%, and coal had a daily increase of 0.89% [3][57].

Market Sentiment - The market sentiment remains cautious, with investors not fully trusting the current rally due to past experiences of losses [1][3] - The banking sector is perceived to be suppressing the index, despite its low weight, impacting overall market performance [1] Index Performance - The market is expected to reach 3500 points soon, with the Hong Kong stock market showing positive trends [3] - The real resistance level for the market is identified at 3700 points, which needs to be surpassed for a significant bullish sentiment [3] - The white liquor sector is highlighted as a potential driver for index growth, with expectations of a 300-point increase if it performs well [3] Sector Analysis - The current market dynamics are characterized by sector rotation, with the securities sector being a key player in the ongoing rally [5] - White liquor, insurance, and banking are identified as the main sectors capable of lifting the Shanghai Composite Index [5] - The cyclical sectors like steel, cement, and coal are noted to have diminished influence compared to previous decades [5] Trading Strategy - Investors are advised to maintain their trading plans and not to overthink market movements, focusing instead on holding positions for potential gains [7] - The expectation is for a rapid upward movement in the market, suggesting that current levels should not be viewed as a peak [7]

Group 1 - The Shanghai Composite Index is approaching the critical resistance level of 3500 points, and a breakthrough is necessary for a new market trend to emerge [1][5] - A bullish sentiment is observed in both A-shares and H-shares, with potential for further gains in sectors like liquor [1][5] - The market is characterized by differing perspectives among investors, with those holding light positions hoping for a decline, while heavily invested individuals anticipate a rise [1][3] Group 2 - The index needs to achieve a significant upward movement beyond 4000 points to stabilize above 3500, indicating a structural issue of oscillating upward trends [3][5] - A slow bull market is expected, with fluctuations and sector rotations rather than a one-sided increase, as the index has reached 3500 despite widespread bearish sentiment [3][5] - The upcoming market shift could lead to a substantial rise in the index if sectors like liquor, securities, and real estate rebound simultaneously [5][6] Group 3 - The current market dynamics suggest that low-cost entry and long-term holding (around 1000 days) are essential strategies for investors [5][6] - Various sectors, including pharmaceuticals, photovoltaics, liquor, real estate, and securities, are at a cyclical low, with only the securities sector showing signs of recovery [5][6] - The market operates on the principle of speculation on expectations, where less favored stocks are more likely to experience upward movement [5][6]

- Model Name: Diffusion Index Model; Model Construction Idea: The model is based on the principle of price momentum; Model Construction Process: The model tracks the weekly changes in the diffusion index of various industries, ranking them based on their diffusion index values. The formula used is $ \text{Diffusion Index} = \frac{\text{Number of Stocks with Positive Momentum}}{\text{Total Number of Stocks}} $; Model Evaluation: The model captures industry trends effectively but may face challenges during market reversals[5][27][28] - Model Name: GRU Factor Model; Model Construction Idea: The model utilizes GRU (Gated Recurrent Unit) deep learning networks to analyze minute-level price and volume data; Model Construction Process: The model ranks industries based on their GRU factor values, which are derived from the GRU network's analysis of trading information. The formula used is $ \text{GRU Factor} = \text{GRU Network Output} $; Model Evaluation: The model performs well in short cycles but may struggle in long cycles or extreme market conditions[6][13][33] - Diffusion Index Model, IR value 2.05%, weekly average return 0.24%, monthly excess return -1.00%, annual excess return 2.05%[25][30] - GRU Factor Model, IR value -4.52%, weekly average return 1.32%, monthly excess return 0.77%, annual excess return -4.52%[32][37] - Factor Name: GRU Industry Factor; Factor Construction Idea: The factor is derived from GRU deep learning networks analyzing minute-level trading data; Factor Construction Process: The factor values are calculated based on the GRU network's output, ranking industries accordingly. The formula used is $ \text{GRU Factor} = \text{GRU Network Output} $; Factor Evaluation: The factor captures short-term trading information effectively but may face challenges in long-term or extreme market conditions[6][13][33] - GRU Industry Factor, IR value -4.52%, weekly average return 1.32%, monthly excess return 0.77%, annual excess return -4.52%[32][37]

Group 1 - The report highlights that the domestic A-share market has seen a significant improvement in liquidity risk, with a total transaction volume of 1.44 trillion yuan this week, driven by continuous buying from state-owned funds [5] - The report indicates a positive outlook for the military industry, particularly in the context of the marine economy, which is expected to catalyze growth in the sector [5] - The report notes that the semiconductor and domestic consumption sectors present potential investment opportunities due to improved risk appetite and capital inflows [5] Group 2 - The report details that the "Xinxuan ETF Absolute Return Strategy" has achieved an annualized return of 14.23% over the past three years, with a maximum drawdown of only 8.6% [10] - The "All-Weather Multi-Asset Risk Parity Strategy" has yielded a return of 20.85% since the beginning of 2024, with a maximum drawdown of 3.62% [14] - The "China-US Core Asset Portfolio" has delivered an annualized return of 34.05% since early 2015, outperforming various indices [20] Group 3 - The report states that 17 new index funds were filed this week, including 3 ETFs and 5 linked funds, indicating a growing interest in index-based investment products [34] - A total of 20 new public funds were established this week, raising a total of 5.328 billion yuan, with 11 new index funds accounting for 3.226 billion yuan of that total [35] - The report mentions that 6 new funds are set to be listed next week, including the "E Fund National Value 100 ETF" and the "Industrial Bank China Hong Kong Stock Connect Automotive Industry Theme ETF" [38] Group 4 - The report indicates that A-share ETFs experienced a net outflow of 136.4 billion yuan, while bond ETFs saw a net inflow of 122.9 billion yuan [43] - The report highlights that the Hong Kong ETF market has seen a net inflow of 88 billion yuan, reflecting a positive sentiment towards cross-border investments [48] - The report notes that commodity ETFs, particularly gold ETFs, have seen an increase in investment, with a net inflow of 23.18 billion yuan [52]

Quantitative Models and Construction Methods - **Model Name**: A-Share Industry Rotation Model **Model Construction Idea**: The model uses six factors—capital, valuation, sentiment, momentum, overbought/oversold, and profitability—to build a scoring system for industry evaluation[17] **Model Construction Process**: - **Capital Factor**: Based on industry net inflow rate of major funds - **Valuation Factor**: Uses the valuation percentile of the industry over the past year - **Sentiment Factor**: Derived from the proportion of rising constituent stocks - **Momentum Factor**: Based on MACD indicator - **Overbought/Oversold Factor**: Uses RSI indicator - **Profitability Factor**: Based on the consensus forecast EPS percentile of the industry over the past year[17] **Model Evaluation**: The model provides a comprehensive scoring system to assess industry rotation trends[17] - **Model Name**: Consensus Stock Selection Model **Model Construction Idea**: The model identifies high-growth industries and selects stocks with high similarity between high-frequency capital flow trends and stock price trends[20] **Model Construction Process**: - Filters high-growth industries at the Shenwan secondary industry level based on the past 30-day performance - Calculates momentum, valuation, and frequency of price increases for stocks within these industries - Uses high-frequency minute-level capital flow data to compute changes in inflow/outflow for each stock - Selects stocks with the highest similarity between capital flow trends and price trends within the top-performing secondary industries[20] **Model Evaluation**: The model effectively identifies stocks with strong capital flow and price trend alignment[20] --- Model Backtesting Results - **A-Share Industry Rotation Model**: - **Top Scoring Industries**: Comprehensive (+10), Non-ferrous Metals (+10), Electronics (+7)[18][19] - **Low Scoring Industries**: Banking (-15), Petrochemicals (-9), Transportation (-8)[19] - **Consensus Stock Selection Model**: - **Selected Industries**: Communication Equipment, Ground Armament II, Components[21] - **Selected Stocks**: - Communication Equipment: New Yisheng, Move Communication, Feiling Kesi, Hengtong Optoelectronics, Meixin Technology - Ground Armament II: Great Wall Military Industry, Optical Shares, Inner Mongolia First Machine, Sweet Qin Equipment, Ganfa Technology - Components: Jingwang Electronics, Deep South Circuit, Fangbang Shares, Zhongjing Electronics, Shenghong Technology[21] --- Quantitative Factors and Construction Methods - **Factor Name**: Capital Factor **Construction Idea**: Measures industry net inflow rate of major funds[17] **Construction Process**: Aggregates daily net inflow data for transactions exceeding 10,000 shares or 200,000 yuan[12] **Evaluation**: Reflects the strength of capital flow within industries[17] - **Factor Name**: Valuation Factor **Construction Idea**: Uses industry valuation percentile over the past year[17] **Construction Process**: Calculates the relative valuation position of the industry within a one-year window[17] **Evaluation**: Indicates whether an industry is undervalued or overvalued[17] - **Factor Name**: Sentiment Factor **Construction Idea**: Based on the proportion of rising constituent stocks[17] **Construction Process**: Computes the percentage of stocks within the industry that have increased in price[17] **Evaluation**: Captures market sentiment towards the industry[17] - **Factor Name**: Momentum Factor **Construction Idea**: Uses MACD indicator to measure price trends[17] **Construction Process**: Applies MACD calculations to industry-level data[17] **Evaluation**: Identifies industries with strong upward or downward trends[17] - **Factor Name**: Overbought/Oversold Factor **Construction Idea**: Uses RSI indicator to assess market conditions[17] **Construction Process**: Calculates RSI values for industries to determine overbought or oversold conditions[17] **Evaluation**: Helps identify potential reversals in industry trends[17] - **Factor Name**: Profitability Factor **Construction Idea**: Based on consensus forecast EPS percentile over the past year[17] **Construction Process**: Aggregates EPS forecasts and calculates relative percentile rankings[17] **Evaluation**: Reflects the earnings potential of industries[17] --- Factor Backtesting Results - **Capital Factor**: Comprehensive (++), Non-ferrous Metals (++), Electronics (++), Banking (---), Petrochemicals (---), Transportation (---)[19] - **Valuation Factor**: Comprehensive (+++), Non-ferrous Metals (++), Electronics (+), Banking (-), Petrochemicals (---), Transportation (---)[19] - **Sentiment Factor**: Comprehensive (-), Non-ferrous Metals (+++), Electronics (+++), Banking (--), Petrochemicals (---), Transportation (---)[19] - **Momentum Factor**: Comprehensive (+++), Non-ferrous Metals (+++), Electronics (+), Banking (--), Petrochemicals (---), Transportation (---)[19] - **Overbought/Oversold Factor**: Comprehensive (+++), Non-ferrous Metals (+++), Electronics (+), Banking (--), Petrochemicals (---), Transportation (---)[19] - **Profitability Factor**: Comprehensive (+++), Non-ferrous Metals (+++), Electronics (+++), Banking (---), Petrochemicals (---), Transportation (---)[19]

Group 1 - The market indices have shown a strong performance, but individual stocks may not reflect this trend, indicating a potential disconnect between indices and stock performance due to the registration system [1] - Concerns about tariffs have led to market exits, but the core stocks in the Shanghai Composite Index, particularly those with domestic focus, are less affected by export-related tariffs [3] - The upcoming market outlook is optimistic, with expectations for a rise towards 3500 points, supported by sectors like banking, liquor, and insurance, although caution is advised regarding increasing positions [5] Group 2 - The market is likely to continue its upward trend, with a tendency for rebounds in the face of negative sentiment, as seen in past events [7] - The performance of key sectors such as insurance, liquor, securities, and real estate will be crucial for supporting the banking sector's growth [5] - The overall market strategy should focus on position management, ensuring profits during rises and maintaining reserves during declines [5]

基金研究 | 基金专题报告 基金研究 证券研究报告 2025 年 07 月 04 日 作者 吴先兴 分析师 SAC 执业证书编号：S1110516120001 wuxianxing@tfzq.com 王喆 分析师 SAC 执业证书编号：S1110520060005 wangzhe@tfzq.com 相关报告 1 《金融工程：基金研究-新经济龙头 引擎：华商中证 A500 指数增强基金配 置价值深度解析》 2025-07-02 2 《金融工程：金融工程-哪些行业景 气度在上行？——细分行业景气度跟踪 -20250701》 2025-07-01 3 《金融工程：金融工程-量化择时周 报 ： 突 破 震 荡 上 轨 后 如 何 应 对 ?》 2025-06-29 基金经理海洋所管理的华商量化优质精选基金采用 "量化行业轮动+基本 面验证"框架，通过个股α、产业β及交易保护三维策略获取超额收益。2024 年接管以来年化收益 6.64%，跑赢 50%同类基金。 业绩归因显示基金对电子、汽车、有色金属的超配为基金贡献较高超额收 益，而对非银金融以及家用电器的低配也为组合贡献了一定的行业配置超 额收益。电子、计算机以及通信 ...

Overview - The A-share market experienced fluctuations in the first half of 2025, with the overall trend being a recovery after a rapid decline at the beginning of the year. The market indices showed positive performance, with the Wind All A, Shanghai Composite Index, and CSI 300 increasing by 5.83%, 2.76%, and 0.03% respectively [1][10][15]. Style - In the first half of 2025, the market style was relatively stable, with micro-cap stocks outperforming small-cap, which in turn outperformed mid-cap and large-cap stocks. The micro-cap index rose by 36.41%, while the large-cap index only increased by 0.36% [2][22][23]. Industry & Theme - The industry rotation speed in the A-share market showed a fluctuating trend, with a peak in rotation intensity in March. Out of 31 primary industries, 20 experienced gains, with notable increases in non-ferrous metals (up 18.12%), banking (up 13.10%), defense and military (up 12.99%), and media (up 12.77%). Conversely, coal, food and beverage, real estate, and oil and petrochemicals performed poorly [3][31][30][31]. - The second-tier industry of ground weaponry saw a rise of over 60%, while sectors like coal mining, photovoltaic equipment, liquor, and hotel catering underperformed [3][36]. Monthly Performance - Monthly performance showed that no industry recorded gains in all six months. Non-ferrous metals performed well in January, March, and June, with a notable 9.3% increase in June. The banking sector remained stable with minimal drawdowns, while the defense and military sector showed significant volatility [31][32]. Themes - Excluding certain speculative themes, 15 thematic concepts achieved over 40% growth, with servers, stock trading software, GPUs, electric vehicles, and equipment upgrades leading the way [37].