Group 1 - Zhejiang Social Security Science and Technology Innovation Fund officially launched with a first phase scale of 50 billion yuan, aiming to enhance the technology innovation ecosystem in Zhejiang [1] - Jiangsu Social Security Science and Technology Innovation Fund signed in Nanjing with a first phase scale of 50 billion yuan, focusing on strategic emerging industries such as artificial intelligence and integrated circuits [2] - A 100 billion yuan biomanufacturing industry fund cluster was announced in Guangzhou's Baiyun District, aimed at promoting high-quality development in the biomanufacturing sector [4] Group 2 - Chengdu established an electronic information industry fund with a total investment of 10 billion yuan, focusing on private equity investment and asset management [5] - Shenzhen released a plan to attract overseas sovereign funds, aiming to deepen cross-border capital cooperation and enhance the local modern industrial system [6] - A 50 billion yuan industrial development fund was launched in Chengdu's Pidu District, with a target of 50 billion yuan in the long term [7] Group 3 - A 50 billion yuan industrial mother fund was registered in Changsha's Wangcheng Economic Development Zone, marking a significant step in the region's investment ecosystem [8] - Qingdao established two new investment funds with a total investment of 3 billion yuan, focusing on chemical new materials and marine sustainable development [9][28] - Inner Mongolia's key industry guidance fund was established with an investment of 8.675 billion yuan, focusing on private equity investment and asset management [10] Group 4 - A new fund focusing on embodied intelligence was established in Chaoyang District, with a target scale of 300 million yuan, emphasizing core technologies and key components [13] - Hubei's Changjiang Technology Innovation Supply Chain Investment Fund was set up with a total scale of 2 billion yuan, focusing on early-stage project verification and mid-term investment [14] - A 20 billion yuan new energy industry fund was launched in Xiamen, focusing on commercial photovoltaic power stations and diversified clean energy projects [15] Group 5 - A new fund was established in Hainan with a scale of 250 million yuan, focusing on the construction of the Hainan Free Trade Port and key industries [17][18] - The "启航创投基金" was established by Guotai Junan, with a total scale of 400 million yuan, focusing on future industries such as health and smart technology [19] - A new fund was launched in Anhui with a scale of 1.6 billion yuan, focusing on private equity investment and asset management [21] Group 6 - A 10 billion yuan mining investment fund was established by Shandong Gold Group, focusing on private equity investment and asset management [22] - Shanghai Jiao Tong University set up a new technology innovation fund with a total scale of 100 million yuan, focusing on strategic emerging industries [23] - Jiangsu's first QDLP project, "易池新能," was signed, aiming to accelerate the development of high-end projects and talent in Jiangyin [24][25]

每日｜荐读 论坛： 新一批敲钟人，已在路上 荐读： 重新发现香港：科创时代的新蓝图 榜单： 全国首只AIC产业母基金来了 热文： 投资人"忙疯了" 据企查查APP显示：该基金由四川省先进制造投资引导基金合伙企业（有限合伙）、成都产业投资集团有限公司、成都先进制造产业投资有限公司、 成都国芯产兴投资合伙企业（有限合伙）、成都高新策源启航股权投资基金合伙企业（有限合伙）、成都高新区恒泰润和企业管理中心（有限合伙） 和成都先进资本管理有限公司共同出资。该基金执行事务合伙人为成都先进资本管理有限公司。 近日，四川省成都市产投电子信息重大产业化项目股权投资基金合伙企业（有限合伙）成立，出资额100亿元，经营范围包含以私募基金从事股权投 资、投资管理、资产管理等活动。 ...

1. Report Overview - Report Title: Pioneer Futures Options Daily Report - Report Date: November 7, 2025 [1] 2. Option Underlying Volatility Ranking 2.1 Ranking Table - The report provides a ranking table of option underlying volatility, including at - the - money option implied volatility, 30 - day historical volatility, and daily true range, along with their respective rankings for multiple option underlyings such as ps2601, lc2601, etc. [3][4] 2.2 Volatility Interpretation - At - the - money option implied volatility reflects the market's expectation of future price fluctuations of the underlying. Larger values indicate a higher probability of significant market movements, which can be of interest to trend traders. - 30 - day historical volatility reflects the actual past price movements of the underlying. If its value is smaller than the implied volatility, it may suggest that option prices are relatively expensive, which can be considered by option sellers. - The daily true range reflects the intraday price movements of the underlying, and intraday traders can focus on the top - ranked varieties. [5] 3. Exchange - Specific Option Analysis 3.1 Shanghai Stock Exchange Options 3.1.1 Shanghai 50ETF - **Basic Information**: The trading volume of the main Shanghai 50ETF options on this day was 389,163 contracts, the open interest was 885,597 contracts, the trading volume ratio of call options to put options was 1.28, and the weighted - average implied volatility was 13.56%. A T - type quotation table of option prices at different strike prices was provided. [19][21] - **Volatility Trading**: Volatility trading suggestions were given, such as selling options in months with higher implied volatility curves and buying those in months with lower curves; selling options with points above the curve and buying those below the curve within the same month. [24][25] - **Risk - Free Arbitrage**: The minimum annualized return of the optimal arbitrage portfolio held to maturity was 7.02% when traded at the settlement price and 0.90% when traded at the counter - party price. [29][31] 3.1.2 Huatai - Peregrine CSI 300ETF - **Basic Information**: The trading volume of the main 300ETF options on this day was 556,898 contracts, the open interest was 782,003 contracts, the trading volume ratio of call options to put options was 1.16, and the weighted - average implied volatility was 14.97%. A T - type quotation table of option prices at different strike prices was provided. [32][34] - **Volatility Trading**: Similar volatility trading suggestions were given as for the Shanghai 50ETF. [38] - **Risk - Free Arbitrage**: The minimum annualized return of the optimal arbitrage portfolio held to maturity was 12.3% when traded at the settlement price and 1.85% when traded at the counter - party price. [41][42] 3.1.3 Southern CSI 500ETF - **Basic Information**: The trading volume of the main 500ETF options on this day was 1,014,468 contracts, the open interest was 782,415 contracts, the trading volume ratio of call options to put options was 1.07, and the weighted - average implied volatility was 19.39%. A T - type quotation table of option prices at different strike prices was provided. [43][45] - **Volatility Trading**: Similar volatility trading suggestions were given. [50] - **Risk - Free Arbitrage**: The minimum annualized return of the optimal arbitrage portfolio held to maturity was 47.4% when traded at the settlement price and 9.64% when traded at the counter - party price. [52][54] 3.1.4 Huaxia Shanghai Science and Technology Innovation Board 50ETF - **Basic Information**: The trading volume of the main Huaxia Shanghai Science and Technology Innovation Board 50ETF options on this day was 662,205 contracts, the open interest was 1,207,182 contracts, the trading volume ratio of call options to put options was 1.21, and the weighted - average implied volatility was 33.73%. A T - type quotation table of option prices at different strike prices was provided. [55][56] - **Volatility Trading**: Similar volatility trading suggestions were given. [58] - **Risk - Free Arbitrage**: The minimum annualized return of the optimal arbitrage portfolio held to maturity was 13.8% when traded at the settlement price and 2.73% when traded at the counter - party price. [62][63] 3.1.5 E Fund Shanghai Science and Technology Innovation Board 50ETF - **Basic Information**: The trading volume of the main E Fund Shanghai Science and Technology Innovation Board 50ETF options on this day was 125,567 contracts, the open interest was 286,032 contracts, the trading volume ratio of call options to put options was 1.24, and the weighted - average implied volatility was 34.11%. A T - type quotation table of option prices at different strike prices was provided. [66][67] - **Volatility Trading**: Similar volatility trading suggestions were given. [69] - **Risk - Free Arbitrage**: The minimum annualized return of the optimal arbitrage portfolio held to maturity was 25.6% when traded at the settlement price and 4.81% when traded at the counter - party price. [73][75] 3.2 Shenzhen Stock Exchange Options 3.2.1 Harvest CSI 300ETF - **Basic Information**: The trading volume of the main Shenzhen 300ETF options on this day was 71,269 contracts, the open interest was 151,936 contracts, the trading volume ratio of call options to put options was 0.94, and the weighted - average implied volatility was 16.43%. A T - type quotation table of option prices at different strike prices was provided. [76][78] - **Volatility Trading**: Similar volatility trading suggestions were given. [85] - **Risk - Free Arbitrage**: The minimum annualized return of the optimal arbitrage portfolio held to maturity was 15.1% when traded at the settlement price and 0.72% when traded at the counter - party price. [86][88] 3.2.2 E Fund ChiNext ETF - **Basic Information**: The trading volume of the main E Fund ChiNext ETF options on this day was 1,327,104 contracts, the open interest was 1,147,035 contracts, the trading volume ratio of call options to put options was 1.04, and the weighted - average implied volatility was 30.57%. A T - type quotation table of option prices at different strike prices was provided. [89][91] - **Volatility Trading**: Similar volatility trading suggestions were given. [93]

Summary of Key Points Core Viewpoint The article discusses the recent developments in China's mother fund industry, highlighting the establishment and management of various mother funds across different provinces, with a total management scale of 531.75 billion yuan. The investments are primarily focused on sectors such as artificial intelligence, semiconductors, and new materials. Group 1: Fund Establishments and Management - Inner Mongolia has initiated the formation of 11 mother funds to support high-quality development of government investment funds, focusing on modern industrial systems and new productivity [3][4] - Shaanxi's Science and Technology Innovation Mother Fund has selected 7 general partners (GPs) for its first batch, with a total initial scale of 100 billion yuan [5] - Guangdong's Dongguan Industrial Chain Development Mother Fund has been registered with a capital contribution of 1.5 billion yuan [6] - Inner Mongolia has established a key industry cultivation guiding fund with a capital of 8.675 billion yuan [7] - Hubei's XinKe Industrial Investment Fund has officially launched with a total scale of 5 billion yuan [8] - Anhui's new emerging industry fund has completed its signing ceremony with a total scale of 1 billion yuan [9] - Hunan's Xingwang Industrial Mother Fund has successfully registered with a total scale of 5 billion yuan [10] - Sichuan's Jiaozi Manyuan Industrial Development Fund has initiated a GP recruitment process with an initial scale of 1 billion yuan [11] - Jiangsu's Yancheng Economic and Technological Development Zone Mother Fund is also in the process of recruiting GPs [13] - Zhejiang's Xiaoshan Economic and Technological Development Zone Industrial Development Guiding Fund is seeking GPs [15] Group 2: Fund Objectives and Focus Areas - The mother funds are targeting strategic emerging industries such as green agriculture, modern equipment manufacturing, new materials, and artificial intelligence [3][4] - The Shaanxi Science and Technology Innovation Mother Fund aims to invest in early-stage, small, and long-term projects in hard technology [5] - Hubei's XinKe Industrial Investment Fund is designed to leverage resources from central enterprises to enhance local industrial development [8] - Anhui's new emerging industry fund focuses on new materials, new energy, and information technology [9] - Hunan's Xingwang Industrial Mother Fund aims to enhance the financial competitiveness of the regional economy [10] Group 3: Regulatory Framework and Guidelines - Inner Mongolia has established a regulatory framework for its government investment funds, detailing management requirements for fundraising, investment, risk control, and exit strategies [3][4] - Shaanxi has created a fund matrix with a total scale of 300 billion yuan, integrating various industry funds [5] - The establishment of guiding funds in various provinces is aligned with national policies to promote high-quality development of government investment funds [23][26]

金融专家、日内交易者和政治观察者们密切关注佩洛西家族的交易，并复制他们的投资组合。 美国前众议院议长南希·佩洛西官宣退休，这位被投资者密切追踪的"国会山股神"即将告别政坛，一众 跟单操作的投资者将失去失去最核心的信息源——"损失巨大"。 11月7日，据环球时报援引美媒报道，当地时间11月6日，美国国会众议院前议长、85岁的民主党人南希 ·佩洛西宣布，她将在本届众议员任期结束时正式退休。 据媒体最新报道，一旦离开国会，她将不再被要求公开披露家庭股票持仓情况，这让众多"Pelosi追随 者"失去了重要的投资信号来源。此前无数投资者监控她披露的股票交易，复制她的每一步操作，通常 都能从中获利。 这位加州民主党人四十年国会生涯中因其精准的股票交易而声名鹊起，吸引了数百万投资者跟随其投资 策略，甚至催生了专门追踪国会议员交易的基金产品。根据Capitol Trades数据，过去三年中Pelosi相关 的公开交易总额约为5900万美元。 分析指出，她的退出对市场的影响不容小觑。Tidal Financial Group高级投资组合经理Dan Weiskopf表 示："当南希·佩洛西进行交易时，市场会立即跟进，并推动那只股 ...

Core Viewpoint - Ray Dalio, founder of Bridgewater Associates, warns that the Federal Reserve's end to quantitative tightening (QT) is not a technical adjustment but a dangerous experiment that adds liquidity to an already inflated bubble [2][3] Group 1: Current Economic Environment - The current policy mix of expanding fiscal deficits, restarting monetary easing, and the AI narrative is pushing the U.S. towards a perilous end of a large debt cycle characterized by a liquidity-driven super bubble [2] - Historically, quantitative easing (QE) has been introduced during recession periods when asset valuations were low, inflation was subdued, and credit was frozen, providing significant policy space [3] - In contrast, the current environment features a S&P 500 earnings yield of only 4.4%, nearly inverted with the nominal yield of 10-year U.S. Treasuries at 4%, and a compressed equity risk premium of just 0.3% [3] Group 2: Risks of Current Policies - The economy is maintaining a 2% real growth rate, with an unemployment rate of 4.3% and inflation still above 3%, indicating overheating rather than recession [3] - The government continues to accumulate debt aggressively, and if the Fed resumes bond purchases, it effectively monetizes the fiscal deficit, creating a closed loop of debt monetization [3] - A significant expansion of the balance sheet alongside a simultaneous reduction in interest rates could lead the market to perceive this as fiscal dominance, where the central bank is forced to cover government overspending, potentially unanchoring inflation expectations [3] Group 3: Asset Impact and Market Dynamics - Liquidity will not be evenly distributed; QE tends to lower real interest rates and compress risk premiums, directly boosting assets that are most sensitive to discount rates, such as technology, AI, cryptocurrencies, and gold [3] - Dalio anticipates a short-term liquidity frenzy reminiscent of the 1999 internet bubble, with price-to-earnings multiples continuing to expand, benefiting both long-duration growth stocks and inflation-hedging assets [3] - Experts from CAMarkets note that behind this frenzy, issues such as wealth disparity, financial fragility, and inflationary pressures are likely to intensify, and when policies eventually shift, the cost of the bubble's collapse will exceed that of any historical cycle [3]

投资者关系 活动类别 特定对象调研 □分析师会议 □媒体采访 □业绩说明会 □新闻发布会 □路演活动 □现场参观 □其他 参与单位名称 及人员姓名 华泰证券、信达澳亚基金、富国基金、工银理财、阳光资管 时间 2025 年 11 月 5 日 地点 北京嘉里大酒店 上市公司接待 人员姓名 投资者关系总监赵雨新、投资者关系主管凡致和 投资者关系活动 主要内容介绍 1、公司 2025 年前三季度的经营情况？ 前三季度，中粮资本各项主要业务表现稳健。2025 年前三 季度，公司实现营业总收入 71.68 亿元，归属于上市公司股东 的净利润 10.25 亿元。 公司自 2025 年 1 月 1 日起已全面执行新保险合同会计准则 （IFRS 17），公司按照新保险合同准则规定追溯调整上年同期 对比数据，重述后公司上年同期的收入，利润有所变动。同时， 因 2025 年上半年债券利率波动趋于平稳、投资标的股票投资分 红节奏变化等因素影响，公司 2025 年投资业务利润贡献同比减 少，导致公司 2025 年三季度归母净利润出现同比下降的情形。 2、中英人寿业务发展情况？ 中英人寿保持了健康发展。2025 年三季度，中英人寿各项 ...

Group 1: Financial Performance - In the first three quarters of 2025, COFCO Capital achieved total operating revenue of 7.168 billion CNY and net profit attributable to shareholders of 1.025 billion CNY [1] - The company has fully implemented the new insurance contract accounting standards (IFRS 17) since January 1, 2025, leading to adjustments in the previous year's comparative data [1] - The net profit attributable to shareholders in Q3 2025 showed a year-on-year decline due to reduced contributions from investment business profits [1] Group 2: Business Focus of Zhongying Life - Zhongying Life emphasizes a "growth culture and accountable management" approach, focusing on customer needs and core regions [2] - The company targets four core demands: health, retirement, wealth, and inheritance, providing tailored and branded product service solutions [2] - A multi-channel marketing model is established, focusing on individual insurance, agency, and bank insurance channels to enhance competitive advantages [2] Group 3: Characteristics of COFCO Trust - COFCO Trust has completed the transformation of its asset management business, leveraging the flexibility of its trust license [3] - The main revenue source is standardized fixed income products, with securities service trusts benefiting from partnerships with bank wealth management subsidiaries [3] - The company utilizes its group’s industrial background to provide services in inclusive finance and ensures sustainable development through quality underlying assets [3]

Group 1 - The final share confirmation ratio for Huaxia Brazil ETF is 11.54% [1] - The final share confirmation ratio for E Fund Brazil ETF is 11.82% [2] - The timing for selling these ETFs is crucial, with reference to the performance of the Saudi ETF on its listing day [2][3] Group 2 - Both Huaxia and E Fund Brazil ETFs track the Brazil IBOVESPA Index, which covers major listed companies in Brazil [10] - The IBOVESPA Index accounts for approximately 80% of the trading volume in the Brazilian stock market [12] - The index is a total return index, meaning dividends are included in its performance [14] Group 3 - The annualized return of the IBOVESPA Index is approximately 8.9%, which is lower than the annualized returns of the S&P 500 and CSI 800 when dividends are considered [17] - The Brazilian real has depreciated significantly against the US dollar, impacting investment returns [19] - From January 2016 to May 2021, the IBOVESPA Index increased by 191.16%, but currency depreciation reduced the effective returns [20] Group 4 - The largest company by market capitalization in the IBOVESPA Index is Vale S.A., a global leader in iron ore production [27][29] - The index is diversified across various sectors, including materials, utilities, finance, and energy, with no single sector dominating [31][32] Group 5 - The Brazilian stock market is currently experiencing high volatility, with significant trading activity around the 4000-point mark [34] - There is a noticeable lack of clear market leadership among sectors, leading to a cautious investment sentiment [37] - Recent trends show that while some sectors have performed well, investor confidence remains fragile, with many choosing to sell during price increases [46]

Report Summary 1. Report Industry Investment Rating No relevant content provided. 2. Core View of the Report On November 7, 2025, the A - share market generally declined, with the Shanghai Composite Index down 0.25%, the Shenzhen Component Index down 0.36%, and the ChiNext Index down 0.51%. Different sectors and ETFs showed varying performance [2][6]. 3. Summary by Related Catalogs Market Overview - The Shanghai Composite Index closed at 3997.56 points, down 0.25%; the Shenzhen Component Index closed at 13404.06 points, down 0.36%; the ChiNext Index closed at 3208.21 points, down 0.51%. The trading volume of A - shares in the two markets was 20205 billion yuan [2][6]. - The top - performing industries were basic chemicals (up 2.39%), comprehensive (up 1.45%), and petroleum and petrochemicals (up 1.38%); the worst - performing industries were computer (down 1.83%), electronics (down 1.34%), and household appliances (down 1.17%) [2][6]. Stock ETF - The top - trading - volume stock ETFs included Huaxia CSI A500 ETF (down 0.08%, discount rate - 0.14%), Guotai CSI A500 ETF (down 0.17%, discount rate - 0.18%), and Huatai - Ber瑞 CSI A500 ETF (unchanged, discount rate - 0.05%) [3][7]. - The report also listed the details of the top ten stock ETFs in terms of trading volume, including price, change rate, tracking index change rate, discount rate, trading volume, and latest share reference [8]. Bond ETF - The top - trading - volume bond ETFs were Haifutong CSI Short - Term Financing ETF (unchanged, discount rate 0.00%), Boshi CSI Convertible and Exchangeable Bond ETF (up 0.15%, discount rate - 0.12%), and Huaxia Shanghai Stock Exchange Benchmark Market - Making Treasury Bond ETF (down 0.06%, discount rate 0.01%) [4][9]. - The details of the top five bond ETFs in terms of trading volume were provided, including price, change rate, discount rate, and trading volume [10]. Gold ETF - Gold AU9999 was unchanged, and Shanghai Gold was up 0.31%. The top - trading - volume gold ETFs were Huaan Gold ETF (up 0.43%, discount rate 0.15%), Boshi Gold ETF (up 0.42%, discount rate 0.10%), and E Fund Gold ETF (up 0.42%, discount rate 0.12%) [12]. - The details of several gold ETFs were presented, including price, change rate, trading volume, IOPV, and discount rate [13]. Commodity Futures ETF - Huaxia Feed Soybean Meal Futures ETF was down 0.10%, discount rate 0.07%; Dacheng Non - Ferrous Metals Futures ETF was down 0.28%, discount rate - 0.13%; Jianxin Yisheng Zhengzhou Commodity Exchange Energy and Chemical Futures ETF was down 0.57%, discount rate 0.39% [13][14]. - The details of these commodity futures ETFs were provided, including price, change rate, trading volume, IOPV, discount rate, tracking index, and tracking index change rate [14]. Cross - Border ETF - The previous trading day, the Dow Jones Industrial Average was down 0.84%, the Nasdaq was down 1.90%, the S&P 500 was down 1.12%, and the German DAX was down 1.31%. On this day, the Hang Seng Index was down 0.92%, and the Hang Seng China Enterprises Index was down 0.94% [15]. - The top - trading - volume cross - border ETFs were E Fund CSI Hong Kong Securities Investment Theme ETF (down 1.17%, discount rate - 1.21%), GF CSI Hong Kong Innovative Drug ETF (down 2.22%, discount rate - 1.85%), and Huatai - Ber瑞 Hang Seng Technology ETF (down 1.27%, discount rate - 1.30%) [15]. - The details of the top five cross - border ETFs in terms of trading volume were given, including trading volume, change rate, and discount rate [16]. Currency ETF - The top - trading - volume currency ETFs were Yin Hua Day - to - Day Profit ETF, Hua Bao Tian Yi ETF, and Currency ETF Jian Xin Tian Yi [17][19]. - The trading volumes of the top three currency ETFs were provided [19].