- The "Hong Kong Stock Selection Portfolio" model is constructed based on a dual-layer selection process that integrates fundamental and technical analysis. The stock pool is initially built using analyst recommendation events, such as upward earnings revisions, first-time coverage, and unexpected positive research report titles. Stocks with both fundamental support and technical resonance are selected to form the portfolio. The backtesting period spans from January 1, 2010, to December 31, 2025, with an annualized return of 19.08% and an excess return of 18.06% relative to the Hang Seng Index after considering transaction costs in a fully invested state[14][15][19] - The "Stable New High Stock Screening" factor is based on the concept of momentum and trend-following strategies, which are particularly effective in the Hong Kong stock market. The factor emphasizes stocks that have recently reached a 250-day high, with a specific calculation formula: $ 250\text{-day new high distance} = 1 - \frac{\text{Close}_{t}}{\text{ts\_max(Close, 250)}} $ Here, $\text{Close}_{t}$ represents the latest closing price, and $\text{ts\_max(Close, 250)}$ is the maximum closing price over the past 250 trading days. A value of 0 indicates a new high, while positive values indicate the degree of pullback from the high. Stocks are further filtered based on analyst attention, relative strength, price stability, and trend continuation metrics[20][22][23] - The backtesting results for the "Hong Kong Stock Selection Portfolio" model show an annualized return of 19.08%, an excess return of 18.06%, and an information ratio (IR) of 1.19 over the entire sample period. The maximum drawdown was 23.73%, with a tracking error of 14.60% and a return-to-drawdown ratio of 0.76[19] - The "Stable New High Stock Screening" factor identified stocks such as Nine Dragons Paper, with the highest number of stocks coming from the cyclical sector (14 stocks), followed by consumer, manufacturing, financial, technology, and pharmaceutical sectors. Specific stocks include Nine Dragons Paper, China Eastern Airlines, and Pacific Basin Shipping, among others[22][23][28]

本报记者 方凌晨 在业内人士看来，公募机构在当前积极布局港股主题基金，核心是基于对港股未来发展空间和投资机会的长期看好。罗佳 明认为："今年港股和A股均有望吸引外资配置。考虑到中国经济的抗压能力已得到市场认可，加上新兴市场基金对中国仍处于 明显低配状态，恒生指数仍是全球估值洼地，沪深300指数亦处于中低分位。虽然今年偏多的港股IPO数量预计会对市场形成一 定冲击，但主要体现在资金分流和风险偏好下降方面，且2025年第四季度的市场表现已部分反映出这一影响，因此今年香港恒 生指数仍有一定空间。" 罗佳明表示："港股市场虽然波动性高，但对于价值投资者而言，波动恰恰是争取超额收益的来源。在高波动、高供给的 市场环境下，坚持自下而上精选企业，仍有望通过结构性机会和个股选择争取回报。" 邢程表示，展望未来，短期去杠杆和流动性冲击大概率不会改变港股中期大趋势。同时，全球多极化格局和分散投资需求 构成了贵金属和以中国为代表的新兴市场具备较强投资价值的格局。此外，港股主要龙头权重公司2026年盈利预期仍在持续修 复，对港股市场形成有力支撑和正向催化。 整体来看，公募机构对港股主题基金的布局方向涉及科技、互联网、医药医疗、消费等 ...

本周，恒生指数下跌3%，恒生中国企业指数下跌3.1%，中证港股通中国100指数下跌2.9%。 中信证券认为，展望2026年2月，港股业绩预期已有显著调整，叠加内外部资金面的扰动因素也已告一段落，港股2025年 12月下旬以来的春季行情或将延续，整体呈现春节前大盘股有相对收益，政策方向支持的成长行业表现更优的态势。 ς 恒生中国企业指数 由在港上市中国内地企业中50只市值大、成交活跃的股 票组成,指数行业覆盖较为广泛,可选消费、金融、信 息技术、能源行业合计占比超过85% 》指数滚动市盈率分位数走势 恒生指数 100% 60 409 20% 恒生中国企业指数 中证港股通中国100指数 100% 100% 80% 60% 40% 40% ς 中证港股通中国100指数 由港股通范围内100家市值大、成交活跃的中国内地公司 股票组成,金融、可选消费、信息技术行业合计占比超 过65% 注1:目前全市场跟踪恒生指数的ETF共5只,跟踪恒生中国企业指数的ETF共4只,跟踪中证港股通中国 100指数的ETF共1只,跟踪同一指数的不同ETF产品的费率、跟踪误差、规模等有所不同。银行、互联网 平台等相关销售机构提供可场外投资的E ...

恒生指数高开0.82%，恒生科技指数涨0.68%。黄金股集体反弹，紫金黄金国际、赤峰黄金涨超4%，山 东黄金涨超3%。 国元国际表示，当前环境下港股表现或继续优于美股，表现出震荡上行的走势，主要原因在于受到财政 悬崖与地缘政治因素影响，美元信用受损趋势延续，这天然有利于非美国资产，作为以中国资产为主的 港股有望受益;其次港股本身长期估值水平较低，具备更好弹性：目前港股整体估值尚未完全反映国内 经济的复苏，而从信贷情况来看当前国内企业部门信贷需求或已有所恢复，若此迹象得到延续，国内需 求改善有望成为港股新的投资主题，有利于提振投资者情绪并为港股带来更多的增量资金。 中信证券表示，港股业绩预期已有显著调整，叠加内外部资金面的扰动因素也已告一段落，该机构判断 港股2025年12月下旬以来的春季行情或将延续，整体呈现春节前大盘股有相对收益，政策方向支持的成 长行业表现更优的态势。春季后需关注下一个解禁高峰期或对港股流动性预期的影响。 本文转载自腾讯自选股，智通财经编辑：陈雯芳。 关于港股后市 摩根士丹利认为，虽然近日环球市场表现波动，港股和A股市场亦于上周五显著回调，但仍相信有效的 A股降温措施、美元兑人民币走强，以 ...

证券研究报告 | 2026年01月31日 港股投资周报 金融股领涨，港股精选组合年内上涨 7.92% 核心观点 金融工程周报 港股精选组合绩效回顾 本周，港股精选组合绝对收益 0.49%，相对恒生指数超额收益-1.89%。 本年，港股精选组合绝对收益 7.92%，相对恒生指数超额收益 1.07%。 港股市场创新高热点板块跟踪 我们根据分析师关注度、股价相对强弱、股价路径平稳性、创新高连续性等 角度在过去 20 个交易日创出过 250 日新高的股票池中筛选出平稳创新高股 票。 近期，中国秦发等股票平稳创出新高。 按照板块来看，创新高股票数量最多的是周期板块，其次为科技、消费、制 造和大金融板块，具体个股信息可参照正文。 港股市场一周回顾 宽基指数方面，本周港股通 50 指数收益最高，累计收益 2.78%；恒生科技 指数收益最低，累计收益-1.38%。 行业指数方面，本周能源业行业收益最高，累计收益 7.44%；医疗保健业行 业收益最低，累计收益-2.72%。 概念板块方面，本周安防监控指数概念板块收益最高，累计收益 27.50%； 卫星导航指数概念板块收益最低，累计收益-9.93%。 金融工程·数量化投资 | ...

Core Viewpoint - The Hang Seng Index rose by 2.4% this week, reaching a nearly four-year high mid-week, while the Hang Seng China Enterprises Index and the CSI Hong Kong Stock Connect China 100 Index both increased by 1.7% [1][3]. Market Performance - The net inflow of southbound funds in January amounted to approximately 70 billion HKD, a significant increase from 22.9 billion HKD in December of the previous year, indicating a heightened interest from mainland investors in Hong Kong stocks [1]. - The rolling price-to-earnings (P/E) ratios for the indices are as follows: Hang Seng Index at 12.7 times, Hang Seng China Enterprises Index at 11.2 times, and CSI Hong Kong Stock Connect China 100 Index at 11.8 times [3]. - The percentile rankings for rolling P/E ratios indicate that the Hang Seng Index is at 61.5%, the Hang Seng China Enterprises Index at 68.9%, and the CSI Hong Kong Stock Connect China 100 Index at 95.9%, suggesting varying levels of valuation relative to historical data [3]. Sector Composition - The CSI Hong Kong Stock Connect China 100 Index comprises 100 large-cap and actively traded mainland Chinese companies, with financials, consumer discretionary, and information technology sectors accounting for over 65% of the index [6]. - The Hang Seng Index includes a diverse range of sectors, with consumer discretionary, financials, information technology, and energy sectors collectively representing over 85% of the index [6]. Historical Performance - The cumulative performance over the past month shows the Hang Seng Index up by 6.9%, the Hang Seng China Enterprises Index up by 4.5%, and the CSI Hong Kong Stock Connect China 100 Index up by 5.5% [7]. - Over the past year, the Hang Seng Index has increased by 35.4%, the Hang Seng China Enterprises Index by 26.2%, and the CSI Hong Kong Stock Connect China 100 Index by 31.9% [7].

Core Viewpoint - The Hong Kong stock market has transitioned from a phase dominated by sentiment-driven adjustments to a more rational valuation phase supported by policy and earnings recovery, with a focus on profitability, dividends, and industry structure rather than just being "cheap" [1][3] Group 1: Market Dynamics - The market is characterized by a stark contrast between high-dividend, strong cash flow assets and growth-oriented sectors influenced by global liquidity and thematic sentiment [1][3] - The global AI wave is reshaping capital flows and industry structures, with competition intensifying around computing power, algorithms, and application scenarios [1][7] - Institutional investors are increasingly focused on reassessing the cost-effectiveness of Hong Kong and Asian assets along the AI industry chain as valuations are no longer at extreme lows [1][3] Group 2: Investment Strategy - The investment strategy emphasizes understanding macroeconomic conditions, corporate competitiveness, and earnings volatility rather than solely relying on low valuations [3][10] - The focus has shifted from "valuation recovery" to identifying companies with potential earnings improvement in a gradually recovering macro environment [3][10] - The investment approach is characterized by a balance between high-dividend and high-growth sectors, allowing for dynamic switching between different styles [10][11] Group 3: Sector Insights - The internal demand sector is expected to have significant upside potential if stronger consumer support policies are introduced, although broad opportunities may be limited due to mixed macro data and slowing population growth [5][11] - Specific sectors like travel, leisure services, and experience-based consumption may see recovery and growth driven by policy support [5][11] - The hardware segment of the AI industry, particularly in memory and high-end manufacturing, is highlighted as a key area for investment due to its stable competitive landscape and high demand [7][8] Group 4: Risk Management - The investment philosophy includes a focus on safety margins and avoiding excessive concentration in single themes, with a preference for companies that demonstrate clear advantages in both valuation and earnings [10][11] - The approach to risk control involves monitoring individual stock valuations and overall portfolio beta exposure, adjusting positions based on macroeconomic and policy changes [11][12] - The emphasis is on identifying undervalued companies with long-term competitive advantages that may be overlooked or mispriced in the current market environment [12]

每日经济新闻 风险提示：提及个股仅用于行业事件分析，不构成任何个股推荐或投资建议。指数等短期涨跌仅供参 考，不代表其未来表现，亦不构成对基金业绩的承诺或保证。观点可能随市场环境变化而调整，不构成 投资建议或承诺。提及基金风险收益特征各不相同，敬请投资者仔细阅读基金法律文件，充分了解产品 要素、风险等级及收益分配原则，选择与自身风险承受能力匹配的产品，谨慎投资。 银河证券指出，海外方面，美国2025年第三季度GDP终值年化环比增长4.4%，高于4.3%的初值，创下 近两年来最快增速。美国11月核心PCE物价指数同比上涨2.8%，环比上涨0.2%，均符合预期。总体上， 在经济增长强劲、就业市场相对稳健且通胀仍高于美联储目标的背景下，市场仍普遍预期美联储将在议 息会议上维持利率不变。国内方面，2025年我国GDP同比增长5%，其中第四季度增长4.5%；规模以上 工业增加值同比增长5.9%，服务业增加值增长5.4%；社会消费品零售总额同比增长3.7%；固定资产投 资同比下降3.8%，其中房地产开发投资下降17.2%。展望未来，美联储大概率维持利率不变，全球地缘 政治风险持续存在但影响边际下降，投资者风险偏好有望回暖， ...

证券研究报告 | 2026年01月24日 港股投资周报 多只资源股创一年新高，港股精选组合本周超额恒指 1.51% 核心观点 金融工程周报 港股精选组合绩效回顾 本周，港股精选组合绝对收益 1.15%，相对恒生指数超额收益 1.51%。 本年，港股精选组合绝对收益 7.39%，相对恒生指数超额收益 3.02%。 港股市场创新高热点板块跟踪 我们根据分析师关注度、股价相对强弱、股价路径平稳性、创新高连续性等 角度在过去 20 个交易日创出过 250 日新高的股票池中筛选出平稳创新高股 票。 近期，三一国际等股票平稳创出新高。 按照板块来看，创新高股票数量最多的是周期板块，其次为科技、消费、制 造和大金融板块，具体个股信息可参照正文。 港股市场一周回顾 概念板块方面，本周智能电视指数概念板块收益最高，累计收益 22.51%； GEO 指数概念板块收益最低，累计收益-9.36%。 南向资金监控 南向资金整体方面，本周港股通累计净流入 235 亿港元，近一个月以来港股 通累计净流入 613 亿港元，今年以来港股通累计净流入 663 亿港元，总体来 看近期南向资金呈现出整体流入的走势。 本周港股通资金中，阿里巴巴-W、 ...

本周港股板块震荡分化，从指数来看，中证港股通消费主题指数上涨3.1%，恒生科技指数下跌0.4%， 恒生港股通新经济指数下跌1.3%，中证港股通互联网指数下跌1.6%，中证港股通医药卫生综合指数下 跌3%。 由港股上市公司中与科技主题高度相关的、市值 最大的30只股票组成,信息技术及可选消费行业 合计占比超90% a 中证港股通医药卫生综合指数 由港股通范围内医疗卫生行业中50只流动性较好、 市值较大的股票组成,医疗保健行业权重占比超 90% 31 中证港股通互联网指数 由港股通范围内30家互联网龙头公司的股票组成, 主要包括信息技术、可选消费行业 a 中证港股通消费主题指数 由港股通范围内流动性较好、市值较大的50只消 费主题股票组成,可选消费占比超55% 恒生港股 中证港股通 中证港版 中证港股通 恒生科技 消费主题 通新经济 医药卫生 注 1:目前全市场跟踪恒生港股通新经济指数的ETF共1只,跟踪恒生科技指数的ETF共13只,跟踪中证港 股通医药卫生综合指数的ETF共4只,跟踪中证港股通互联网指数的ETF共7只,跟踪中证港股通消费主题 指数的ETF共4只,跟踪同一指数的不同ETF产品的费率,跟踪误差、规模 ...