金十数据7月22日讯，国家外汇管理局7月22日发布数据显示，2025年上半年，企业、个人等非银行部门 跨境收入和支出合计7.6万亿美元，规模创历史同期新高。其中，人民币在跨境收支中的比重达到 53%，企业、个人等非银行部门跨境资金净流入1273亿美元，延续去年下半年以来的净流入态势。我国 国际收支保持基本平衡，外汇市场运行平稳有序。 （新华社） 上半年我国非银行部门跨境资金净流入1273亿美元 ...

规模方面，Wind数据显示，截至2025年7月21日，港股通非银ETF(513750)最新规模达86.58亿元，再创 成立以来新高！年内规模增幅达997.33%！份额方面，港股通非银ETF最新份额达54.34亿份，创成立以 来新高！ 从资金净流入方面来看，港股通非银ETF近14天获得连续资金净流入，最高单日获得8.20亿元净流入， 合计"吸金"36.73亿元。 场内ETF方面，截至2025年7月21日收盘，中证港股通非银行金融主题指数(931024)上涨0.90%，成分股 东方证券(03958)上涨6.50%，中国银河(06881)上涨4.73%，中金公司(03908)上涨4.68%，申万宏源 (06806)上涨4.29%，中信证券(06030)上涨3.62%。港股通非银ETF(513750)收涨1.40%。拉长时间看，截 至21日收盘，港股通非银ETF自4月10日低点至今累计反弹上涨45.67%。 流动性方面，2025年7月21日港股通非银ETF换手23.14%，全天成交18.73亿元，市场交投活跃。拉长时 间看，截至7月21日，港股通非银ETF近1周日均成交11.44亿元。 截至7月21日，港股通非银ET ...

资料显示，指数样本每半年调整一次，样本调整实施时间分别为每年6月和12月的第二个星期五的下一 交易日。权重因子随样本定期调整而调整，调整时间与指数样本定期调整实施时间相同。特殊情况下将 对该指数进行临时调整。当样本退市时，将其从指数样本中剔除。如果香港市场新上市相关行业主题企 业市值在香港上市公司中排名前十并纳入港股通范围，将在其纳入港股通范围后第十一个交易日快速纳 入指数。样本公司发生收购、合并、分拆等情形的处理，参照计算与维护细则处理。当港股通范围发生 变动导致样本不再满足港股通资格时，将进行相应调整。 本文源自：金融界 作者：行情君 据了解，中证港股通非银行金融主题指数从港股通证券范围中选取符合非银行金融主题的不超过50家上 市公司证券作为指数样本，以反映港股通范围内非银行金融主题上市公司的整体表现。该指数以2014年 11月14日为基日，以3000.0点为基点。 从指数持仓来看，中证港股通非银行金融主题指数十大权重分别为：中国平安（15.24%）、香港交易 所（13.97%）、友邦保险（13.55%）、中国人寿（8.76%）、中国太保（6.94%）、中国财险 （6.21%）、新华保险（3.96%）、中 ...

- The report tracks the performance of growth factors, highlighting that growth factors performed well across different market capitalizations, with higher excess returns in large-cap stocks[2][42][43] - The report mentions that the growth factor had a strong performance in the past week, with specific factors such as (current consensus forecast rev_FY1 - 3 months ago consensus forecast rev_FY1) / 3 months ago consensus forecast rev_FY1 absolute value, (current ROE - last year's ROE) / last year's ROE absolute value, single-quarter EPS growth rate, R&D to sales ratio, and operating income_TTM / average total assets showing excess returns of over 1% relative to the CSI All Share Index[2][42][43] - The report provides detailed excess returns for various factors over different time periods, with factors like tot_rd_ttm_to_assets, dp_historical, jor, mom3_rating_score_90d, and mom3_rev_fy1 showing significant excess returns over the past week and month[2][44] - The report also analyzes factor performance across different indices (CSI 300, CSI 500, CSI 1000, and CSI 2000), noting that factors such as fix_ratio, sue1, peg, yoy_roe, and yoy_eps_q performed well across all indices, with better performance in large-cap indices[2][45][46] - The report evaluates the performance of quantitative portfolios, noting that the enhanced portfolios based on financial report coverage for CSI 300, CSI 500, and CSI 1000 achieved positive absolute and excess returns over the past week, month, and year[2][47][48] - The report provides specific performance metrics for the enhanced portfolios, including absolute returns, relative returns, and annualized excess returns, with the CSI 300 enhanced portfolio achieving an absolute return of 230.84% and an annualized excess return of 10.89% since 2015[2][48][49] - The report lists the top 30 holdings for each enhanced portfolio, including stocks like JinkoSolar, Inspur Information, and Weir Group for the CSI 300 enhanced portfolio, and stocks like Shanghai Jahwa, Kedali, and Lianlong for the CSI 500 enhanced portfolio[2][58]

Core Viewpoint - The current A-share market is likely to maintain a strong oscillating trend, similar to the second half of 2014, driven by liquidity and policy easing factors [1][2][3] Group 1: Market Trends - The A-share market in the second half of 2014 and from April to July 2020 was primarily driven by liquidity and policy easing, with a weak economic backdrop but rising stock indices [2] - The current market is expected to continue a structural slow bull trend, with short-term oscillations leaning towards strength [3] - Economic recovery remains weak, with pressures on exports and a potential decline in real estate investment, while corporate earnings are showing signs of recovery [3] Group 2: Sector Performance - In the current environment, sectors such as media, building materials, agriculture, computer, and home appliances are showing superior mid-year profit growth [1] - Growth sectors like media, automotive, pharmaceuticals, power equipment, and new energy, along with blue-chip sectors such as agriculture, non-bank financials, food and beverage, and home appliances, are considered to have high cost-performance ratios [1][3] Group 3: Investment Strategy - Short-term investment strategy suggests a balanced allocation between technology growth and undervalued blue-chip stocks, focusing on sectors with upward policy and industry trends [1][3] - In July and August, the market style is expected to be balanced, with growth potentially outperforming value in August due to economic recovery trends and continued liquidity [4]

Report Summary 1. Report Industry Investment Rating No information about the industry investment rating is provided in the report. 2. Core Viewpoints - In the primary market, 9 green bonds were newly issued in the inter - bank and exchange markets from July 14 to July 18, 2025, with a total issuance scale of about 8.579 billion yuan, a decrease of 26.246 billion yuan compared to the previous week [1]. - In the secondary market, the weekly trading volume of green bonds from July 14 to July 18, 2025, totaled 52.3 billion yuan, a decrease of 10 billion yuan compared to the previous week [2]. - The overall deviation of the weekly average trading price valuation of green bonds from July 14 to July 18, 2025, was not large. The discount trading amplitude was greater than the premium trading, and the proportion of discount trading was higher than that of premium trading [3]. 3. Summary by Relevant Catalogs Primary Market Issuance - **Number and Scale**: 9 green bonds were issued, with a total scale of about 8.579 billion yuan, down 26.246 billion yuan from the previous week [1]. - **Issuance Term**: Most issuance terms were 3 years [1]. - **Issuer Nature**: Included central enterprise subsidiaries, local state - owned enterprises, Sino - foreign joint - ventures, and other enterprises [1]. - **Subject Rating**: Mostly AAA and AA+ grades [1]. - **Issuer Region**: Beijing, Anhui, Sichuan, Zhejiang, Shanghai, and Tianjin [1]. - **Bond Types**: Science and technology innovation bonds, commercial bank ordinary bonds, private placement corporate bonds, credit ABS, and general corporate bonds [1]. Secondary Market Trading - **Total Trading Volume**: The weekly trading volume was 52.3 billion yuan, a decrease of 10 billion yuan compared to the previous week [2]. - **By Bond Type**: The top three in trading volume were non - financial corporate credit bonds (25.6 billion yuan), financial institution bonds (20.8 billion yuan), and interest - rate bonds (4.3 billion yuan) [2]. - **By Issuance Term**: Green bonds with a term of less than 3 years had the highest trading volume, accounting for about 88.61% [2]. - **By Issuer Industry**: The top three industries in trading volume were finance (21.5 billion yuan), public utilities (13.5 billion yuan), and transportation equipment (1.8 billion yuan) [2]. - **By Issuer Region**: The top three regions in trading volume were Beijing (16.8 billion yuan), Guangdong (6 billion yuan), and Hubei (4 billion yuan) [2]. Valuation Deviation of Top 30 Individual Bonds - **Discount Bonds**: The top three discount bonds were 24 Kangfu Leasing ABN001 Priority (Green) (-1.1390%), GK Guoneng 02 (-0.9872%), and 24 Fengdian G2 (-0.4418%). The main industries of the issuers were energy, real estate, and public utilities, and the regions were mainly Beijing, Guangdong, and Guizhou [3]. - **Premium Bonds**: The top four premium bonds were 25 Shuineng G1 (0.3293%), 21 Chongqing Rail Transit GN003 (Carbon - neutral Bond) (0.1777%), Kunpeng 19A2 (0.1201%), and 25 Deda G2 (0.1079%). The main industries of the issuers were finance, public utilities, and transportation, and the regions were mainly Beijing, Guangdong, Yunnan, and Jiangxi [3].

Group 1 - The core viewpoint indicates that during the week of July 10-16, the A-share market saw an increase in margin financing balance, with a general rise in turnover rates and trading volumes across major indices. The PE valuation percentiles for major indices mostly increased, with the CSI 1000 leading the gains [1][2][3]. Group 2 - The stock-bond yield spread increased, indicating a relatively high investment cost-effectiveness in equity investments. As of July 16, 2025, the dividend yield of the CSI 300 was 3.06%, while the 10-year government bond yield was 1.66%, resulting in a stock-bond yield of -1.40%, which is higher than the average since the beginning of 2025 by 0.30 percentage points [13][16]. - The average margin financing balance for the week was approximately 1.89 trillion yuan, an increase of 1.10% compared to the previous week. The proportion of financing purchases in total A-share trading volume rose to 10.48%, up by 0.47 percentage points [16][19]. - Major indices experienced a general increase in trading volumes, with the CSI 300 showing the largest increase of 27.81% compared to the previous week, followed by the Shanghai Composite Index with an 18.54% increase [19][20]. Group 3 - The PE valuation percentiles for major indices mostly increased, with the CSI 1000 leading with a rise of 2.7 percentage points, followed by the CSI 500 with a 1.9 percentage point increase. The PB valuation percentiles also saw a general increase, with Wind's dual innovation index rising the most by 3.0 percentage points [23][27]. - Among different styles, the consumer sector led the increase in PE valuation percentiles by 1.2 percentage points, followed by the cyclical sector with a 1.0 percentage point increase. In terms of PB valuation percentiles, the cyclical sector saw the largest increase of 13.5 percentage points [31][35]. - In terms of industry performance, the oil and petrochemical sector led the increase in PE valuation percentiles by 4.0 percentage points, while the public utilities sector saw a decline of 1.8 percentage points [45][48].

Group 1 - As of July 16, 2025, the Hong Kong Stock Connect Non-Bank ETF (513750) reached a record size of 7.451 billion, with a year-to-date growth of 844.35% [1] - The ETF's latest share count is 4.840 billion, also a record high since its inception [1] - The index tracking the non-bank financial theme (931024) experienced a decline of 0.82% on the same date, with mixed performance among constituent stocks [1] Group 2 - The Hong Kong Stock Connect Non-Bank ETF has seen a net asset value increase of 74.06% over the past year, ranking 57 out of 2915 index stock funds, placing it in the top 1.96% [2] - The ETF's highest monthly return since inception was 31.47%, with the longest consecutive monthly gain being 4 months and a total increase of 38.25% [2] - The top ten weighted stocks in the index account for 77.92%, with major holdings including China Ping An, AIA, and Hong Kong Exchanges and Clearing [2] Group 3 - Recent policies aimed at enhancing financial market construction and expanding high-level financial openness are expected to create significant business opportunities for non-bank financial institutions [3] - The insurance sector is anticipated to benefit from new regulations promoting long-term investments, while brokerage firms are expected to maintain high trading activity levels [3] - The Hong Kong Stock Connect Non-Bank ETF is the first and only ETF tracking the non-bank index, with over 60% of its composition in insurance stocks [3]

Core Viewpoint - The China Securities Index for non-bank financial themes has shown significant growth over the past months, with a notable increase of 34.34% year-to-date, indicating a strong performance in the non-bank financial sector within the Hong Kong stock market [1]. Group 1: Index Performance - The China Securities Index for non-bank financial themes closed at 3882.02 points, down 0.58% on the day, with a trading volume of 25.524 billion yuan [1]. - Over the past month, the index has increased by 9.66%, and over the last three months, it has risen by 35.81% [1]. Group 2: Index Composition - The index comprises up to 50 listed companies that meet the non-bank financial theme criteria, reflecting the overall performance of this sector within the Hong Kong stock connect [1]. - The top ten weighted companies in the index include China Ping An (15.41%), Hong Kong Exchanges and Clearing (14.21%), AIA Group (13.82%), China Life Insurance (8.4%), and China Pacific Insurance (6.96%) [1]. Group 3: Index Adjustment Mechanism - The index samples are adjusted biannually, with adjustments occurring on the next trading day after the second Friday of June and December [3]. - In special circumstances, the index may undergo temporary adjustments, such as when a sample company is delisted or when new companies meet the criteria for inclusion [3].

- The report mentions multiple quantitative models, including the "Volume Model," "Low Volatility Model," "Feature Institutional Model," "Feature Volume Model," "Smart CSI 300 Model," "Smart CSI 500 Model," "Limit-Up/Down Model," "Calendar Effect Model," "Long-Term Momentum Model," "Comprehensive Weaponry V3 Model," and "Comprehensive CSI 2000 Model"[2][12][13][15] - The "Volume Model" is short-term and indicates a bullish signal for most broad-based indices[12] - The "Low Volatility Model" is short-term and provides a neutral signal[12] - The "Feature Institutional Model" is short-term and indicates a bearish signal[12] - The "Feature Volume Model" is short-term and indicates a bullish signal[12] - The "Smart CSI 300 Model" and "Smart CSI 500 Model" are short-term and indicate bullish signals[12] - The "Limit-Up/Down Model" is a mid-term model and provides a neutral signal[13] - The "Calendar Effect Model" is a mid-term model and provides a neutral signal[13] - The "Long-Term Momentum Model" is a long-term model and provides a neutral signal for all broad-based indices[14] - The "Comprehensive Weaponry V3 Model" and "Comprehensive CSI 2000 Model" are composite models that indicate bullish signals[15] - The "Turnover-to-Volatility Model" is a mid-term model for the Hong Kong market and indicates a bullish signal[16] - Backtesting results for the "Double Bottom Pattern" show a weekly return of 2.52%, outperforming the Shanghai Composite Index by 1.43%[43] - Backtesting results for the "Cup-and-Handle Pattern" show a weekly return of 2.0%, outperforming the Shanghai Composite Index by 0.91%[43]