金十数据6月19日讯，近日，上海证券交易所与卡塔尔金融中心在上海联合举办"卡塔尔金融中心投资合 作培训"，来自能源、建筑、医药、信息技术、金融、制造等行业的37家沪深上市公司及拟上市公司的 52名企业代表参会。培训围绕卡塔尔投资环境、运营实践及融资政策等内容展开深入交流，一方面帮助 参会企业进一步加深对中东地区营商环境的认识，将投资视野从沙特、阿联酋等国家延伸至卡塔尔；另 一方面展现我国优质上市公司高质量发展成果及拥抱国际化的积极意愿，为中国企业开拓中东市场及推 动中卡市场合作挖掘新机遇。 （上交所） 上交所举办卡塔尔金融中心投资合作培训 ...

英国《独立报》援引该国财政部介绍报道称，即将公布的计划文件将列出政府在升级交通网络、建设新 住房和现代化医院等公共服务以及助力绿色能源转型等优先政策领域的规划。里夫斯此前表示："长期 以来，我们的基础设施——学校、医院、道路和桥梁——都被弃之不管任其破败，阻碍了社区发展并抑 制了经济增长。" 该计划紧接上周支出审查会议，英国《镜报》报道称，当时已确定投入156亿英镑用 于交通升级、390亿英镑建设社会及可负担住房，以及142亿英镑打造塞兹韦尔C核电站。 该计划的更多细节将于本周公布，随后还计划于7月发布《国家基础设施项目清单》，具体列出将获得 资金支持的项目。《金融时报》分析认为，在放宽财政规则以支持旨在提振英国低迷增长的资本投资 后，这笔额外款项成为可能，但不可避免的是，许多项目在2029年大选前甚至连开工坑都不会挖，"里 夫斯的首要任务是加速推进能快速见效的项目"。 【环球时报驻英国特约记者 纪双城 董铭】据英国《金融时报》16日报道，英国财政大臣里夫斯将于本 周公布价值7250亿英镑的十年基础设施建设计划细节。报道称，里夫斯承诺在2027年的支出审查前预先 划拨部分预算。虽然里夫斯将该计划称为"国家基础 ...

美国5月营建许可月率 -2%，预期0%，前值-4.00%。 ...

美国5月营建许可环比初值 -2%，预期 0%，前值 -4%。 ...

日韩股市低开高走 6月18日早间，日韩股市 双双 低开， 随后震荡拉升。截至发稿， 日经225指数涨0.2%，至 2月21日以来的最高点。 此外， 日本央行在最新发布的货币政策声明中称，将维持政策利率在0.5%不变，并计划在下 一财年放缓购债的缩减步伐。 贝莱德中东及亚太地区首席投资策略师本·鲍威尔表示，由于面临全球经济不确定性，日本央 行今年年底前很可能会维持利率不变。本次按兵不动发生在食品价格上涨推动通胀上升的背 景下，与此同时，全球贸易摩擦和油价波动也为经济环境增添了复杂性。从日本国内来看， 薪资上涨与物价坚挺之间正在形成一个良性循环，势头逐渐增强，但外部环境的不确定性仍 使日本央行保持观望态度。 个股方面，王子控股、大成建设、任天堂等涨幅居前。 | 名称 | 现价 | 涨跌幅 = | 总市 三 | | --- | --- | --- | --- | | 王子控股 | 722.2 | 4.12% | 7326亿 | | 3861.T | | | | | 大成建设 | 8280.0 | 3.37% | 15166亿 | | 1801.T | | | | | 任天堂 | 12850.0 | 3.30% | ...

个股方面，王子控股、大成建设、任天堂等涨幅居前。 | 名称 | 现价 | 涨跌幅 = | 总市 三 | | --- | --- | --- | --- | | 王子控股 | 722.2 | 4.12% | 7326亿 | | 3861.T | | | | | 大成建设 | 8280.0 | 3.37% | 15166亿 | | 1801.T | | | | | 任天堂 | 12850.0 | 3.30% | 16.69万亿 | | 7974.T | | | | | 东京煤气 | 4865.0 | 2.55% | 18054亿 | | 9531.T | | | | | 鹿岛建设 | 3746.0 | 2.52% | 19803亿 | | 1812.T | | | | | CYBERAGENT | 1545.5 | 2.38% | 7828亿 | | 4751.T | | | | | 斯巴鲁 | 2565.5 | 2.21% | 18807亿 | | 7270.T | | | | | 东京建筑 | 2712.5 | 2.11% | 5674亿 | | 8804.T | | | | | 保谷光学 | 16905.0 ...

Core Insights - The Hong Kong stock market is experiencing a surge in dividend asset allocation, with the first Hong Kong Stock Connect low-volatility dividend ETF (520550) achieving ten consecutive days of gains and a year-to-date share increase of 119% [2][4] - The S&P Hong Kong Stock Connect Low Volatility Dividend Index has shown strong resilience, with a cumulative increase of 24.85% over the past year, significantly outperforming the CSI Dividend Index (-0.26%) and the CSI Low Volatility Dividend Index (12.53%) [3][4] - Southbound capital has been a significant driver of this trend, with net inflows exceeding HKD 630 billion this year, accounting for over 80% of the total for 2024 [4][5] Market Dynamics - The low-interest-rate environment and expectations of U.S. Federal Reserve rate cuts have enhanced the appeal of Hong Kong dividend ETFs, which offer a dividend yield of 7.13% and low volatility [4][5] - Institutional investors are increasingly optimizing their dividend strategies, with the Hang Seng Hong Kong Stock Connect High Dividend Low Volatility Index yielding 8.1%, well above the 10-year government bond yield [5][6] - The demand for dividend assets is expected to grow as long-term capital, such as insurance and social security funds, enters the market, driven by favorable policies and a shift towards long-term value creation [7][8] Investment Strategies - Fund companies are enhancing dividend product designs to improve investor experience, such as the low-cost structure and monthly dividend mechanisms of the Hong Kong low-volatility dividend ETF [5][6] - Long-term investment in high-dividend stocks is supported by the stability of companies' earnings and their willingness to distribute dividends, particularly in sectors like banking, utilities, and mature industries [6][7] - The trend of insurance capital acquiring Hong Kong stocks is expected to continue, with over 90% of new investments directed towards this market, indicating a strong preference for dividend stocks [7][8]

Quantitative Models and Construction Methods - **Model Name**: "百元转股溢价率" (Premium Rate per 100 Yuan Conversion) **Model Construction Idea**: Compare convertible bond valuation with equity valuation using historical percentile metrics to assess relative allocation value [4][15] **Model Construction Process**: Fit a cross-sectional curve of conversion premium rate and conversion value at each time point. Substitute conversion value = 100 into the fitted formula to derive "百元转股溢价率". Formula: $$ y_{i}=\alpha_{0}+\,\alpha_{1}\cdot\,{\frac{1}{x_{i}}}+\epsilon_{i} $$ Here, \( y_{i} \) represents the conversion premium rate of the \( i \)-th bond, and \( x_{i} \) represents the conversion value of the \( i \)-th bond [44] **Model Evaluation**: Provides a relative valuation perspective for convertible bonds versus equities [15] - **Model Name**: "修正 YTM – 信用债 YTM" (Adjusted YTM Minus Credit Bond YTM) **Model Construction Idea**: Adjust convertible bond yield-to-maturity (YTM) by removing the impact of conversion clauses to compare with credit bond YTM [4][15] **Model Construction Process**: $$ \text{Adjusted YTM} = \text{Convertible Bond YTM} \times (1 - \text{Conversion Probability}) + \text{Expected Conversion Annualized Return} \times \text{Conversion Probability} $$ Conversion probability is calculated using the Black-Scholes model, incorporating stock price, strike price, stock volatility, remaining term, and discount rate. The median of the differences between adjusted YTM and credit bond YTM is then computed: $$ \text{"修正 YTM – 信用债 YTM" Median} = \text{median}\{X_1, X_2, ..., X_n\} $$ Here, \( X_i \) represents the difference between adjusted YTM and credit bond YTM for the \( i \)-th bond [45][46] **Model Evaluation**: Suitable for assessing relative allocation value between debt-heavy convertible bonds and credit bonds [15] Quantitative Factors and Construction Methods - **Factor Name**: 转股溢价率偏离度 (Conversion Premium Rate Deviation) **Factor Construction Idea**: Measure deviation of conversion premium rate from fitted values to assess valuation differences [21] **Factor Construction Process**: $$ \text{Conversion Premium Rate Deviation} = \text{Conversion Premium Rate} - \text{Fitted Conversion Premium Rate} $$ Fitted values are determined by the cross-sectional curve fitting process [21] **Factor Evaluation**: Effective in comparing valuation across different convertible bonds [21] - **Factor Name**: 理论价值偏离度 (Theoretical Value Deviation) **Factor Construction Idea**: Assess price expectation differences using Monte Carlo simulation [21] **Factor Construction Process**: $$ \text{Theoretical Value Deviation} = \frac{\text{Convertible Bond Closing Price}}{\text{Theoretical Value}} - 1 $$ Monte Carlo simulation considers conversion, redemption, downward revision, and repurchase clauses, simulating 10,000 paths at each time point using the same credit term limit rate as the discount rate [21] **Factor Evaluation**: Provides a comprehensive valuation perspective by incorporating multiple convertible bond clauses [21] - **Composite Factor Name**: 转债综合估值因子 (Convertible Bond Comprehensive Valuation Factor) **Factor Construction Idea**: Combine conversion premium rate deviation and theoretical value deviation for enhanced valuation analysis [21] **Factor Construction Process**: $$ \text{Convertible Bond Comprehensive Valuation Factor} = \text{Rank(Conversion Premium Rate Deviation)} + \text{Rank(Theoretical Value Deviation)} $$ **Factor Evaluation**: Demonstrates superior performance across various convertible bond categories [21] - **Factor Name**: 转债市场情绪捕捉指标 (Convertible Bond Market Sentiment Capture Indicator) **Factor Construction Idea**: Use momentum and volatility deviation to identify market sentiment [29] **Factor Construction Process**: $$ \text{Market Sentiment Capture Indicator} = \text{Rank(20-day Momentum)} + \text{Rank(Volatility Deviation)} $$ **Factor Evaluation**: Effective in guiding convertible bond style rotation strategies [29] Model Backtesting Results - **"百元转股溢价率" Model**: Rolling three-year percentile at 47.4%, rolling five-year percentile at 50.9% [4][15][18] - **"修正 YTM – 信用债 YTM" Model**: Current median value at -0.03% [4][15][18] Factor Backtesting Results - **转股溢价率偏离度 Factor**: Enhanced excess returns in the past four weeks for偏股,平衡,偏债 convertible bonds at 1.33%, 0.27%, and 0.04%, respectively [5][23] - **理论价值偏离度 Factor**: Demonstrates superior performance in偏股 convertible bonds [20][21] - **转债综合估值因子 Factor**: - 偏股转债低估指数: IR = 1.22, annualized return = 24.91%, annualized volatility = 20.39%, max drawdown = -22.83%, Calmar ratio = 1.09, monthly win rate = 63.64% [24] - 平衡转债低估指数: IR = 1.16, annualized return = 13.77%, annualized volatility = 11.87%, max drawdown = -16.04%, Calmar ratio = 0.86, monthly win rate = 60.23% [24] - 偏债转债低估指数: IR = 1.29, annualized return = 12.21%, annualized volatility = 9.45%, max drawdown = -17.59%, Calmar ratio = 0.69, monthly win rate = 56.82% [24] Style Rotation Backtesting Results - **转债风格轮动 Model**: - IR = 1.47, annualized return = 24.23%, annualized volatility = 16.54%, max drawdown = -15.54%, Calmar ratio = 1.56, monthly win rate = 65.91% [35] - Recent four-week return = 2.24%, year-to-date return = 26.75% [31][32]

Group 1 - The core viewpoint of the news highlights the financial performance and market position of Rongzun International Holdings, indicating a significant decline in revenue and a high price-to-earnings ratio compared to industry peers [1][2]. - As of June 16, the Hang Seng Index rose by 0.7%, while Rongzun International Holdings' stock price increased by 13.64% to HKD 1.0 per share, despite a cumulative decline of 12% over the past month and 16.19% year-to-date [1]. - Financial data shows that for the fiscal year ending September 30, 2024, Rongzun International Holdings reported total revenue of HKD 39.08 million, a year-on-year decrease of 59.89%, and a net loss attributable to shareholders of HKD 9.46 million, an increase in loss of 58.01% [1]. Group 2 - The company operates through three main subsidiaries in Hong Kong, focusing on renovation, extension, and civil engineering projects, including structural engineering and site preparation [2]. - The average price-to-earnings ratio for the construction industry is 9.2 times, while Rongzun International Holdings has a significantly higher ratio of 105.51 times, ranking 105th in the industry [1]. - The company is scheduled to disclose its fiscal year 2024 annual report on June 27, 2025 [3].

"张衡一号"02星 是国家民用空间基础设施中长期发展规划中 首颗地球物理场探测业务卫星 携带包括电场探测仪等在内 9种科学探测设备 主要用于对 全球电磁场、电磁波、电离层、中性大气层等 地球物理场范畴的相关参数 开展准实时监测 我国成功开展 首例侵入式脑机接口临床试验 近日 中国科学院脑科学与智能技术卓越创新中心 联合复旦大学附属华山医院 与相关企业合作 成功开展了 我国首例侵入式脑机接口的前瞻性临床试验 首颗地球物理场探测业务卫星成功发射 首例侵入式脑机接口临床试验成功开展 首座跨越黄河的铁路钢桁拱桥成功封顶 商用堆生产钇-90技术成功实现突破 上周末 被这些新突破"硬控"了！ 我国首颗地球物理场探测业务卫星 "张衡一号"02星成功发射 上周六 我国在酒泉卫星发射中心 用长征二号丁运载火箭 成功将电磁监测卫星"张衡一号"02星 发射升空 0:00 这是我国在地球物理场空间观测领域 探测能力建设的又一重大成果 进一步提升我国对重大自然灾害的 "天-空-地"立体监测能力 相当于一个巨大的钢铁杠杆 为主桥合龙提供承重和拉力 该大桥预计将于今年8月实现合龙 "钇"举突破 我国成功实现商用堆生产钇-90 上周日 经秦 ...