Quantitative Models and Construction Methods - **Model Name**: Expected High Dividend Portfolio **Model Construction Idea**: The model aims to construct a portfolio with high expected dividend yield by leveraging historical dividend data, fundamental indicators, and short-term factors like reversal and profitability[5][10][16] **Model Construction Process**: 1. **Dividend Yield Calculation**: - Phase 1: Calculate dividend yield based on annual report profit distribution announcements - Phase 2: Predict and calculate dividend yield using historical dividend data and fundamental indicators[5][10] 2. **Screening Process**: - Exclude suspended and limit-up stocks from the CSI 300 constituents[15] - Remove the top 20% of stocks with the highest short-term momentum (21-day cumulative return)[15] - Exclude stocks with declining profitability (quarterly net profit YoY growth < 0)[15] 3. **Final Selection**: - Rank the remaining stocks by expected dividend yield - Select the top 30 stocks with the highest expected dividend yield and construct an equally weighted portfolio[11] **Model Evaluation**: The model demonstrates strong historical performance with significant excess returns and controlled drawdowns, making it a robust strategy for high-dividend stock selection[13] Model Backtesting Results - **Expected High Dividend Portfolio**: - Cumulative Return: 358.90% - Cumulative Excess Return (vs CSI 300 Total Return Index): 107.44% - Annualized Excess Return: 8.87% - Maximum Rolling 1-Year Drawdown of Excess Return: 12.26% - Monthly Excess Win Rate: 60.19%[13] Quantitative Factors and Construction Methods - **Factor Name**: Expected Dividend Yield Factor **Factor Construction Idea**: Predict future dividend yield by combining historical dividend data, fundamental indicators, and short-term influencing factors[5][16] **Factor Construction Process**: 1. Calculate historical dividend yield based on profit distribution announcements[5][10] 2. Predict future dividend yield using fundamental indicators and historical dividend patterns[5][10] 3. Incorporate two short-term factors: - **Reversal Factor**: Accounts for short-term price reversals - **Profitability Factor**: Reflects the company's earnings performance[5][16] **Factor Evaluation**: The factor effectively identifies high-dividend stocks and serves as a reliable input for portfolio construction[16] - **Factor Name**: Red Dividend Timing Framework (Composite Signal) **Factor Construction Idea**: Combines multiple single-factor signals to assess the market's outlook on dividend stocks[25][28] **Factor Construction Process**: 1. Evaluate five single-factor signals: - **Inflation**: PPI YoY (High/Low) - **Liquidity**: M2 YoY (High/Low) - **M1-M2 Gap**: Scissors Difference (High/Low) - **Interest Rate**: US 10-Year Treasury Yield (High/Low) - **Market Sentiment**: Dividend Stock Turnover Ratio (Up/Down)[28] 2. Assign binary signals (1 for bullish, 0 for bearish) to each factor 3. Aggregate the signals into a composite indicator[28] **Factor Evaluation**: The framework provides a systematic approach to timing dividend stock investments, though the September 2025 signal suggests a cautious stance[25][28] Factor Backtesting Results - **Expected Dividend Yield Factor**: - August 2025 Portfolio Average Return: 5.69% - Excess Return (vs CSI 300 Index): -4.80% - Excess Return (vs CSI Dividend Index): +4.70%[5][16] - **Red Dividend Timing Framework (Composite Signal)**: - Latest Signal (September 2025): 0 (Neutral)[25][28]

Core Viewpoint - The report highlights a decline in the export value of China's black metal smelting and rolling industry, indicating potential challenges for companies in this sector [1]. Industry Summary - In July 2025, the export value of China's black metal smelting and rolling industry was 15.98 billion yuan, a year-on-year decrease of 1.2% [1]. - From January to July 2025, the cumulative export value reached 116.06 billion yuan, reflecting a year-on-year decline of 1.3% [1]. - The report provides a comprehensive market survey and investment outlook for the black metal mining and selection industry in China from 2025 to 2031 [1]. Company Summary - Listed companies mentioned include CITIC Special Steel, Hebei Steel, Zhongnan Co., Benxi Steel, Sansteel Minguang, Jiuli Special Materials, Jinzhu Pipeline, Changbao Co., Shengde Xintai, Anyang Steel, Bayi Steel, New Steel, and Maanshan Steel [1].

Meeting Overview - The third extraordinary general meeting of shareholders was held on September 1, 2025, at 14:45, combining on-site and online voting [2][3] - The meeting was convened by the board of directors of CITIC Special Steel Group Co., Ltd. and chaired by Chairman Qian Gang [3] Attendance - A total of 306 shareholders attended the meeting, representing 4,331,977,181 shares, which accounts for 85.83% of the total voting shares [4] - Among them, 4 shareholders participated in on-site voting, representing 4,017,830,403 shares (79.61%), while 297 shareholders voted online, representing 314,146,778 shares (6.22%) [4][5] - Small and medium-sized shareholders accounted for 1.98% of the total voting shares, with 303 participants representing 99,884,481 shares [6] Proposal Review - The meeting reviewed and approved several ordinary proposals, with the approval requiring more than half of the valid voting shares held by attending shareholders [9] - Related party transactions were involved, with CITIC Special Steel Investment Co., Ltd., Hubei Xinye Steel Co., Ltd., and CITIC Pacific (China) Investment Co., Ltd. collectively holding 4,232,092,700 shares (83.85%) and abstaining from voting [9] Legal Opinion - The legal opinion was provided by Beijing Zhonglun (Wuhan) Law Firm, confirming that the meeting's convening and procedures complied with relevant laws and regulations [9]

Group 1 - The company announced the convening of its third extraordinary general meeting for 2025 on September 1, 2025 [2] - The meeting approved several proposals, including the profit distribution plan for the first half of 2025 [2]

Group 1 - The core viewpoint of the articles highlights the significant increase in dividend payouts among listed companies in Hubei, with a projected 84% growth in mid-year dividends for 2025 compared to the previous year [1][2] - CITIC Special Steel (000708) announced its first-ever mid-year dividend distribution, proposing a cash dividend of 2 yuan per 10 shares, totaling over 1 billion yuan, which represents 36% of its net profit attributable to shareholders [1] - Other companies in Hubei, such as Huisheng Biological (300871), have also announced mid-year dividend plans, indicating a broader trend of increased shareholder returns across the region [1] Group 2 - A total of 105 listed companies in Hubei have issued dividend proposals this year, with an expected total payout of 19.093 billion yuan, marking an increase of 6.03 billion yuan from the previous year [2] - The Hubei Securities Regulatory Bureau plans to implement multiple measures to enhance investor returns, including training and outreach to promote awareness of dividend policies among companies [2] - Future initiatives will focus on understanding companies' dividend intentions and capabilities, encouraging more frequent and substantial cash dividends, particularly around significant occasions like the Spring Festival [2]

证券代码：000708 证券简称：中信特钢 公告编号：2025-064 中信泰富特钢集团股份有限公司 2025 年第三次临时股东会决议公告 公司及董事会全体成员保证信息披露内容的真实、准确和完整，没有虚假记 载、误导性陈述或重大遗漏。 特别提示： 1.本次股东会未出现否决议案。 2.本次股东会未涉及变更以往股东会决议。 一、会议召开和出席的情况 （一）会议召开情况 1.召开时间： 现场会议时间：2025 年 9 月 1 日（星期一）下午 14:45 网络投票时间：2025 年 9 月 1 日（星期一） 其中通过深圳证券交易所交易系统进行网络投票的具体时间为： 2025 年 9 月 1 日 9:15—9:25，9:30—11:30 和 13:00—15:00；通过 深圳证券交易所互联网系统投票的具体时间为：2025 年 9 月 1 日 9:15 —15:00 期间的任意时间。 2.召开地点：江苏省无锡市江阴市长山大道 1 号中信特钢科技大 楼三楼会议中心 3.召开方式：现场会议与网络投票相结合的方式 4.召集人：中信泰富特钢集团股份有限公司（以下简称"公司"） 董事会 1.通过现场和网络投票的股东 306 名， ...

北京中伦（武汉）律师事务所 关于中信泰富特钢集团股份有限公司 2025 年第三次临时股东会的 法律意见书 致：中信泰富特钢集团股份有限公司 北京中伦（武汉）律师事务所（以下简称"本所"）接受中信泰富特钢集团股份有 限公司（以下简称"公司"）的委托，指派律师对公司 2025 年第三次临时股东会（以下 简称"本次股东会"）进行见证。现根据《中华人民共和国公司法》（以下简称"《公司 法》"）、《中华人民共和国证券法》（以下简称"《证券法》"）、《上市公司股东会规则》等 法律法规和规范性文件以及《中信泰富特钢集团股份有限公司章程》（以下简称"《公司 章程》"）的有关规定，就公司本次股东会的有关事宜出具法律意见书。 本所律师对公司本次股东会的召集和召开程序的合法有效性、本次股东会召集人资 格的合法有效性、出席本次会议人员资格的合法有效性及会议表决程序、表决结果的合 法有效性，发表法律意见。 本所律师依据对法律意见书出具日以前已经发生或存在的事实的了解及对现行相 关法律、法规的理解发表法律意见。 本所律师按照律师行业公认的业务标准、道德规范和勤勉尽责的精神，对公司提供 的出具法律意见书所必须的、全部的、真实的有关公司本次 ...

Market Overview - On September 1, the special steel sector rose by 0.15% compared to the previous trading day, with Jinzhu Pipeline leading the gains [1] - The Shanghai Composite Index closed at 3875.53, up 0.46%, while the Shenzhen Component Index closed at 12828.95, up 1.05% [1] Stock Performance - Jinzhu Pipeline (002443) closed at 7.47, with a gain of 4.33% and a trading volume of 263,600 shares [1] - Fangda Special Steel (600507) closed at 5.71, up 2.33%, with a trading volume of 345,300 shares and a transaction value of 196 million yuan [1] - Shengde Zhengtai (300881) closed at 35.00, up 2.07%, with a trading volume of 19,100 shares and a transaction value of 65.98 million yuan [1] - Other notable stocks include: - Jincheng Special Steel (000708) at 13.19, up 1.00% [1] - Xining Special Steel (600117) at 3.41, up 0.89% [1] - Changbao Co. (002478) at 5.52, unchanged [1] - Fushun Special Steel (6660009) at 5.57, unchanged [1] - Jiuli Special Materials (002318) at 22.37, down 0.67% [1] - Shagang Co. (002075) at 6.24, down 1.42% [1] Capital Flow - The special steel sector experienced a net outflow of 68.61 million yuan from institutional investors, while retail investors saw a net inflow of 5.06 million yuan [2] - Notable capital flows include: - Jinzhu Pipeline had a net inflow of 14.53 million yuan from institutional investors, but a net outflow of 9.11 million yuan from retail investors [3] - Fangda Special Steel saw a net outflow of 5.39 million yuan from institutional investors [3] - Shengde Xintai had a net inflow of 6.24 million yuan from retail investors [3] - Tai Steel (000825) experienced a significant net outflow of 9.61 million yuan from institutional investors [3]

1. Report Industry Investment Rating There is no information provided in the report regarding the industry investment rating. 2. Core Viewpoints of the Report The report presents the top ten convertible bonds for September 2025, including detailed information on each bond such as credit rating, closing price at the end of August, conversion premium rate, and the financial and business conditions of the underlying companies, as well as their key attractions [13][23][35]. 3. Summary by Company 3.1 Zhongte Convertible Bond - **Bond Information**: AAA rating, August closing price of 114.493 yuan, conversion premium rate of 96.64%, and a positive stock PE - TTM of 12.68 [6][13]. - **Company Overview**: A global leader in specialized special - steel materials manufacturing, with a production capacity of about 20 million tons of special - steel materials per year. It has multiple production and raw material bases, forming a strategic layout along the coast and rivers [13]. - **Financial Data**: In 2024, its operating income was 109.203 billion yuan (YoY - 4.22%), net profit attributable to the parent was 5.126 billion yuan (YoY - 10.41%). In the first half of 2025, operating income was 54.715 billion yuan (YoY - 4.02%), and net profit attributable to the parent was 2.798 billion yuan (YoY + 2.67%) [13]. - **Company Highlights**: It is one of the world's most comprehensive special - steel enterprises in terms of variety and specifications, with leading market shares in core products. It has a complete industrial chain and strong cost - control capabilities. It also seeks external expansion opportunities [14]. 3.2 Shanlu Convertible Bond - **Bond Information**: AAA rating, August closing price of 117.2 yuan, conversion premium rate of 48.74%, and a positive stock PE - TTM of 4.02 [6][23]. - **Company Overview**: Mainly engaged in road and bridge engineering construction and maintenance, and is expanding into other fields. It has a complete business and management system [23]. - **Financial Data**: In 2024, its operating income was 71.348 billion yuan (YoY - 2.3%), net profit attributable to the parent was 2.322 billion yuan (YoY + 1.47%). In the first half of 2025, operating income was 28.575 billion yuan (YoY + 0.26%), and net profit attributable to the parent was 1.029 billion yuan (YoY + 0.89%) [23]. - **Company Highlights**: Controlled by the Shandong Provincial SASAC, it has the potential for improvement in its balance sheet, liquidity, and order volume. It is expected to benefit from infrastructure construction in Shandong and the Belt and Road Initiative [24]. 3.3 Hebang Convertible Bond - **Bond Information**: AA rating, August closing price of 121.6 yuan, conversion premium rate of 27.33%, and a positive stock PE - TTM of - 154.7 [6][35]. - **Company Overview**: It has advantages in salt mines, phosphate mines, and natural gas supply. Its business has expanded from single - product operations to multiple sectors including chemicals, agriculture, and photovoltaics [35]. - **Financial Data**: In 2024, its operating income was 8.547 billion yuan (YoY - 3.13%), net profit attributable to the parent was 0.031 billion yuan (YoY - 97.55%). In the first half of 2025, operating income was 3.921 billion yuan (YoY - 19.13%), and net profit attributable to the parent was 0.052 billion yuan (YoY - 73.07%) [35]. - **Company Highlights**: Its phosphate mines and salt mines contribute to profits, and its liquid methionine production is a major profit - contributor [36]. 3.4 Aima Convertible Bond - **Bond Information**: AA rating, August closing price of 127.164 yuan, conversion premium rate of 31.95%, and a positive stock PE - TTM of 14.18 [6][46]. - **Company Overview**: A leading enterprise in the electric two - wheeler industry, producing and selling various electric two - wheelers through dealers [46]. - **Financial Data**: In 2024, its operating income was 21.606 billion yuan (YoY + 2.71%), net profit attributable to the parent was 1.988 billion yuan (YoY + 5.68%). In the first half of 2025, operating income was 13.031 billion yuan (YoY + 23.04%), and net profit attributable to the parent was 1.213 billion yuan (YoY + 27.56%) [46]. - **Company Highlights**: It may benefit from government subsidies for trade - ins, the implementation of new national standards, and has potential for improving gross margins [47]. 3.5 Xingye Convertible Bond - **Bond Information**: AAA rating, August closing price of 124.698 yuan, conversion premium rate of 17.91%, and a positive stock PE - TTM of 6.14 [6][55]. - **Company Overview**: One of the first - established joint - stock commercial banks, evolving into a modern financial service group [55]. - **Financial Data**: In 2024, its operating income was 212.226 billion yuan (YoY + 0.66%), net profit attributable to the parent was 77.205 billion yuan (YoY + 0.12%). In the first half of 2025, operating income was 110.458 billion yuan (YoY - 2.29%), and net profit attributable to the parent was 43.141 billion yuan (YoY + 0.21%) [55]. - **Company Highlights**: It has stable asset quality and scale growth, with a large number of corporate and retail customers [56]. 3.6 Wentai Convertible Bond - **Bond Information**: AA - rating, August closing price of 123.15 yuan, conversion premium rate of 23.63%, and a positive stock PE - TTM of - 19.91 [6][67]. - **Company Overview**: A global leader in semiconductor R & D and manufacturing, adopting the IDM model [67]. - **Financial Data**: In 2024, its operating income was 73.598 billion yuan (YoY + 20.23%), net profit attributable to the parent was - 2.833 billion yuan (YoY - 339.83%). In the first half of 2025, operating income was 25.341 billion yuan (YoY - 24.56%), and net profit attributable to the parent was 0.474 billion yuan (YoY + 237.36%) [67]. - **Company Highlights**: After divesting some subsidiaries, it focuses on the semiconductor business, which has shown growth. Its automotive and consumer electronics businesses also have development potential [68]. 3.7 Chongqing Bank Convertible Bond - **Bond Information**: AAA rating, August closing price of 123.688 yuan, conversion premium rate of 21.55%, and a positive stock PE - TTM of 6.47 [6][78]. - **Company Overview**: One of the earliest local joint - stock commercial banks in the upper reaches of the Yangtze River and Southwest China, with a wide range of business operations [78]. - **Financial Data**: In 2024, its operating income was 13.679 billion yuan (YoY + 3.54%), net profit attributable to the parent was 5.117 billion yuan (YoY + 3.8%). In the first half of 2025, operating income was 7.659 billion yuan (YoY + 7%), and net profit attributable to the parent was 3.19 billion yuan (YoY + 5.39%) [78]. - **Company Highlights**: It benefits from the national strategy of the Chengdu - Chongqing economic circle, has stable asset - scale growth, and actively adjusts its credit strategy [79]. 3.8 Tianye Convertible Bond - **Bond Information**: AA + rating, August closing price of 123.717 yuan, conversion premium rate of 84.35%, and a positive stock PE - TTM of 146.1 [6][90]. - **Company Overview**: A leading enterprise in the chlor - alkali chemical industry in Xinjiang, with an integrated circular economy industrial chain [90]. - **Financial Data**: In 2024, its operating income was 11.156 billion yuan (YoY - 2.7%), net profit attributable to the parent was 0.068 billion yuan (YoY + 108.83%). In the first half of 2025, operating income was 5.16 billion yuan (YoY - 0.98%), and net profit attributable to the parent was - 0.009 billion yuan (YoY - 228.22%) [90]. - **Company Highlights**: It has relatively stable caustic soda production costs and plans to increase dividend frequency, while its group is promoting two coal - mine projects [91]. 3.9 Huanxu Convertible Bond - **Bond Information**: AA + rating, August closing price of 127.8 yuan, conversion premium rate of 24.45%, and a positive stock PE - TTM of 27.85 [6][101]. - **Company Overview**: A global leader in electronic manufacturing design, providing value - added services to brand customers [101]. - **Financial Data**: In 2024, its operating income was 60.691 billion yuan (YoY - 0.17%), net profit attributable to the parent was 1.652 billion yuan (YoY - 15.16%). In the first half of 2025, operating income was 27.214 billion yuan (YoY - 0.63%), and net profit attributable to the parent was 0.638 billion yuan (YoY - 18.66%) [101]. - **Company Highlights**: It is a leading manufacturer of smart - wearable SiP modules and has strengthened its R & D and production capabilities in key fields through global expansion [102]. 3.10 Yushui Convertible Bond - **Bond Information**: AAA rating, August closing price of 124.714 yuan, conversion premium rate of 28.15%, and a positive stock PE - TTM of 27.4 [6][111]. - **Company Overview**: The largest integrated water supply and drainage enterprise in Chongqing, with a monopoly position in the local market [111]. - **Financial Data**: In 2024, its operating income was 6.999 billion yuan (YoY - 3.52%), net profit attributable to the parent was 0.785 billion yuan (YoY - 27.88%). In the first half of 2025, operating income was 3.519 billion yuan (YoY + 7.16%), and net profit attributable to the parent was 0.458 billion yuan (YoY + 10.06%) [111]. - **Company Highlights**: It has a high market share in Chongqing, is expanding its business externally, and has achieved cost control through intelligent applications [112].

Quantitative Models and Construction Methods - **Model Name**: GAN_GRU **Model Construction Idea**: The GAN_GRU model combines Generative Adversarial Networks (GAN) for processing volume-price time-series features and Gated Recurrent Unit (GRU) for encoding time-series features to create a stock selection factor[4][13][41] **Model Construction Process**: 1. **GRU Component**: - Input features include 18 volume-price features such as closing price, opening price, turnover, and turnover rate[14][17][19] - Training data consists of the past 400 days of these features, sampled every 5 trading days, forming a 40x18 matrix to predict cumulative returns over the next 20 trading days[18] - Data preprocessing includes outlier removal and normalization at both time-series and cross-sectional levels[18] - Model architecture: Two GRU layers (128, 128) followed by an MLP (256, 64, 64), with the final output being the predicted return (pRet), which serves as the stock selection factor[22] - Training method: Semi-annual rolling training, with training conducted on June 30 and December 31 each year[18] - Optimization: Adam optimizer, learning rate of 1e-4, IC loss function, early stopping after 10 epochs, and a maximum of 50 training epochs[18] 2. **GAN Component**: - GAN consists of a generator (G) and a discriminator (D)[23] - Generator: Uses LSTM to preserve the time-series nature of the input features, transforming random noise into realistic data samples[33][37] - Loss function: $$ L_{G} = -\mathbb{E}_{z\sim P_{z}(z)}[\log(D(G(z)))] $$ where \( z \) represents random noise, \( G(z) \) is the generated data, and \( D(G(z)) \) is the discriminator's output probability[24][25] - Discriminator: Uses CNN to process the two-dimensional volume-price time-series features, distinguishing between real and generated data[33][37] - Loss function: $$ L_{D} = -\mathbb{E}_{x\sim P_{data}(x)}[\log D(x)] - \mathbb{E}_{z\sim P_{z}(z)}[\log(1-D(G(z)))] $$ where \( x \) is real data, \( D(x) \) is the discriminator's output for real data, and \( D(G(z)) \) is the output for generated data[27][29] - Training: Alternating updates of the generator and discriminator parameters until convergence[30] **Model Evaluation**: The GAN_GRU model effectively captures both time-series and cross-sectional features, leveraging the strengths of GAN and GRU for stock selection[4][13][41] --- Model Backtesting Results - **GAN_GRU Model**: - **IC Mean**: 11.36%[41][42] - **ICIR (Non-Annualized)**: 0.88[42] - **Turnover Rate**: 0.83[42] - **Recent IC**: -2.56%[41][42] - **1-Year IC Mean**: 8.94%[41][42] - **Annualized Return**: 38.09%[42] - **Annualized Volatility**: 23.68%[42] - **IR**: 1.61[42] - **Maximum Drawdown**: 27.29%[42] - **Annualized Excess Return**: 23.52%[41][42] --- Quantitative Factors and Construction Methods - **Factor Name**: GAN_GRU Factor **Factor Construction Idea**: Derived from the GAN_GRU model, this factor encodes volume-price time-series features to predict stock returns[4][13][41] **Factor Construction Process**: - The factor is generated using the output of the GAN_GRU model, which combines GAN-based feature generation and GRU-based time-series encoding[4][13][41] - The factor undergoes industry and market capitalization neutralization, as well as standardization, before being used for testing[22] **Factor Evaluation**: The GAN_GRU factor demonstrates strong predictive power across various industries, with consistent outperformance in recent years[4][13][41] --- Factor Backtesting Results - **GAN_GRU Factor**: - **IC Mean**: 11.36%[41][42] - **ICIR (Non-Annualized)**: 0.88[42] - **Turnover Rate**: 0.83[42] - **Recent IC**: -2.56%[41][42] - **1-Year IC Mean**: 8.94%[41][42] - **Annualized Return**: 38.09%[42] - **Annualized Volatility**: 23.68%[42] - **IR**: 1.61[42] - **Maximum Drawdown**: 27.29%[42] - **Annualized Excess Return**: 23.52%[41][42]