Quantitative Models and Construction CPPI Model - **Model Name**: CPPI (Constant Proportion Portfolio Insurance) [35] - **Construction Idea**: Dynamically adjust the allocation between risk assets and risk-free assets based on the gap between current portfolio value and the preset protection target [35] - **Construction Process**: - Calculate the protection target at time t: $ F_{t}=G\times e^{-r(T-t)} $ where $ G $ is the protection amount at the end of the protection period, $ r $ is the risk-free rate, and $ T-t $ is the remaining time [35] - Determine the amount of funds available for risk assets: $ C_{t}=V_{t}-F_{t} $ where $ V_{t} $ is the portfolio value at time t [36] - Adjust risk asset allocation using a risk multiplier $ m $ and an upper limit $ b $: $ \mathrm{E}_{t}=m i n\{m C_{t},b V_{t}\} $ $ \mathrm{E}_{t}=m a x\{m i n\{m C_{t},b V_{t}\},0\} $ $ B_{t}=V_{t}-E_{t} $ where $ E_{t} $ is the amount allocated to risk assets, and $ B_{t} $ is the amount allocated to risk-free assets [37][38] - Monthly rebalancing based on the last trading day’s closing price [39] - **Evaluation**: CPPI effectively reduces asset volatility and drawdowns but may slightly lower annualized returns due to increased allocation to risk-free assets [45] - **Parameters**: - Protection ratio $ \lambda $: [60%, 70%, 80%] - Risk multiplier $ m $: [2, 3] - Risk asset upper limit $ b $: [70%, 80%, 90%] - Risk-free asset annualized return: based on the previous year’s actual return of money market funds [52][43] Risk Budgeting Model - **Model Name**: Risk Budgeting Model [68] - **Construction Idea**: Allocate risk budgets to assets based on their risk characteristics (volatility, upside volatility, or momentum) [70] - **Construction Process**: - Optimize the risk budget allocation using the SLSQP algorithm: $ O b j e c t i v e\,f u n c t i o n=\sum_{i=1}^{n}(R C_{i}-R B_{i})^{2} $ where $ R C_{i} $ is the actual risk contribution of asset $ i $, and $ R B_{i} $ is the risk budget proportion [68] - Three allocation methods: - Volatility ranking: Higher volatility assets receive higher risk budgets - Upside volatility ranking: Higher upside volatility assets receive higher risk budgets - Momentum ranking: Higher past returns receive higher risk budgets [70] - **Evaluation**: Volatility and upside volatility rankings provide higher elasticity but larger drawdowns, while momentum ranking offers more stable returns [77] Daily Net Value Monitoring Mechanism - **Model Name**: Daily Net Value Monitoring Mechanism [79] - **Construction Idea**: Monitor daily portfolio net value to mitigate short-term market shocks [79] - **Construction Process**: - Trigger pre-warning when rolling N-day maximum drawdown exceeds threshold $ \theta $ and net value falls below M-day moving average [80] - Exit pre-warning when net value crosses above M-day moving average [81] - Adjust portfolio to 95% bonds + 5% money market during pre-warning, and revert to risk budgeting weights after stabilization [79][80] - **Evaluation**: Effectively reduces drawdowns and improves risk-return ratios without significantly impacting returns [88] --- Model Backtesting Results CPPI Model - **Annualized Return**: 4.4% to 14.6% depending on asset type [46] - **Volatility**: Reduced by 7.7% to 11.4% compared to original assets [46] - **Maximum Drawdown**: Improved by 7.5% to 19.3% [46] Risk Budgeting Model - **Maximum Drawdown Constraint (3%)**: - Best combination: Annualized return 6.82%, maximum drawdown -2.91%, Sharpe ratio 2.207, Calmar ratio 2.344 [95][96] - **Maximum Drawdown Constraint (5%)**: - Best combination: Annualized return 7.66%, maximum drawdown -4.97%, Sharpe ratio 2.010, Calmar ratio 1.541 [106][108] - **No Maximum Drawdown Constraint**: - Best combination: Annualized return 8.15%, maximum drawdown -6.36%, Sharpe ratio 1.622, Calmar ratio 1.281 [120][121] Daily Net Value Monitoring Mechanism - **Impact on Risk Budgeting Models**: - Improves Calmar ratio by up to 1.101 for 3% drawdown constraint [88] - Reduces pre-warning frequency to less than 6 times/year [94] --- Supplementary Testing Sensitivity Analysis - **3% Drawdown Constraint**: Parameter adjustments have minimal impact on annualized returns; all combinations maintain Calmar > 1 and Sharpe > 1.5 [133][134] - **5% Drawdown Constraint**: Parameter adjustments have minimal impact on annualized returns; all combinations maintain Calmar > 0.8 and Sharpe > 1.5 [135][136] - **No Drawdown Constraint**: Most combinations maintain Calmar > 1 and Sharpe > 1.4, indicating low risk of overfitting [137][138] Validation of CPPI + Daily Monitoring - **Comparison with Original Assets**: - Original assets fail to meet 3% drawdown constraint - CPPI + Daily Monitoring significantly improves Calmar ratio compared to original risk budgeting models [140]

Core Insights - The "Second Jin Qilin Best Investment Advisor Selection" event is actively seeking outstanding investment advisors to enhance wealth management and build a collaborative platform [1][12] - The event features various competitions, including stock simulation trading and public fund simulation allocation, with a focus on identifying top-performing advisors [1] ETF Group Rankings - In the ETF group for October, Nanjing Securities' Zhang Yao achieved a return of 13.6%, ranking first, followed by Dongxing Securities' Ge Qi and Liu Qianjun in second and third places respectively [1] Fund Group Rankings - The top performer in the fund group for October was Guangda Securities' Zhou Jianhua with a return of 8.1%, while Zhongjin Wealth's Bai Jiangbo and Bank of China Securities' Ling Tonglong secured the second and third positions [1] Stock Simulation Trading Rankings - The top three in the stock simulation trading for October are: - Liu Zili from China Merchants Securities with a return of 19.79% - Zhou Juan from Yintai Securities with a return of 18.95% - Quan Wendong from Changjiang Securities with a return of 17.35% [1][2][7]

Macro Economic Overview - The macroeconomic report indicates a decline in the Shanghai and Shenzhen 300 index by 0.43% this week, with the recommended asset allocation order being stocks > commodities > bonds > currency [1][4] - The manufacturing PMI for October is reported at 49.0%, a decrease of 0.8 percentage points from September, indicating a contraction in the manufacturing sector [5][25] Asset Performance Review - The Shanghai and Shenzhen 300 index fell by 0.43%, while the Shanghai and Shenzhen 300 stock index futures rose by 0.21%. Futures for coking coal and iron ore increased by 3.52% and 3.31%, respectively [2][13] - The annualized yield of Yu'ebao (a money market fund) decreased by 4 basis points to 1.02%, and the yield on ten-year government bonds fell by 5 basis points to 1.80% [2][39] Asset Allocation Recommendations - The report maintains the asset allocation order: stocks > commodities > bonds > currency, with a focus on the implementation of "incremental" policies [3][4] - The production index for October is at 49.7%, down 2.2 percentage points from the previous month, indicating a slowdown in manufacturing procurement activities [3][5] Industry Insights - The report highlights that the manufacturing sector is experiencing a phase of procurement slowdown, influenced by fewer working days due to overlapping holidays and ongoing impacts from U.S. tariff policies [3][5] - The automotive industry shows a mixed performance, with a forecast of approximately 2.4 million units sold in October, reflecting a stable consumer demand despite high previous year comparisons [41][36] Commodity Market Analysis - The commodity futures index decreased by 1.96% this week, with notable increases in coking coal and iron ore, while other commodities like precious metals and chemical products saw declines [50][39] - The report notes that the coal and steel sectors are showing resilience, with significant price increases in coking coal and iron ore futures [50][39]

Core Viewpoint - Ruichuang Micro-Nano experienced a decline of 5.11% on November 3, with a stock price of 78.81 yuan per share and a total market capitalization of 36.271 billion yuan [1] Company Overview - Ruichuang Micro-Nano Technology Co., Ltd. is located in the Yantai Free Trade Zone, Shandong, China, and was established on December 11, 2009. The company went public on July 22, 2019. Its main business involves the design and manufacturing of specialized integrated circuits, MEMS sensors, and infrared imaging products [1] - The revenue composition of the company is as follows: infrared thermal imaging and optoelectronic business accounts for 94.48%, microwave radio frequency business 2.94%, and others 2.59% [1] Fund Holdings - According to data, a fund under Bank of China Securities holds Ruichuang Micro-Nano as one of its top ten holdings. The fund, Bank of China Securities CSI 500 ETF Linked A (008258), held 200 shares in the third quarter, unchanged from the previous period, representing 0.01% of the fund's net value [2] - The estimated floating loss for the fund today is approximately 848 yuan [2] Fund Manager Performance - The fund manager Liu Xianzheng has been in position for 7 years and 280 days, with a total asset scale of 794 million yuan. The best fund return during his tenure is 118.04%, while the worst is -34.66% [3] - The co-manager Zhang Yimin has been in position for 5 years and 51 days, with the same total asset scale of 794 million yuan. The best return during his tenure is 23.44%, and the worst is -40.75% [3]

Core Insights - The "Second Golden Kylin Best Investment Advisor Selection" event is currently ongoing, organized by Sina Finance in collaboration with Yinhua Fund, aiming to identify outstanding investment advisors and enhance their professional development [1][2]. Group 1: Investment Advisor Rankings - The top three investment advisors in the public fund simulation configuration group for October are: 1. Zhou Jianhua from Everbright Securities with a monthly return of 8.14% 2. Bai Jiangbo from CICC Wealth with a monthly return of 5.18% 3. Ling Tonglong from Bank of China Securities with a monthly return of 4.90% [1][2][4]. Group 2: Performance Metrics - The performance of the top 50 investment advisors in the public fund simulation configuration group shows a range of monthly returns, with the top five advisors achieving returns between 4.29% and 8.14% [2][5][6]. - The monthly return of the 50th ranked advisor is 0.67%, indicating a significant performance gap between the top and bottom advisors [6][8].

- The report does not contain any specific quantitative models or factors for analysis [1][2][3][4] - The report provides an overview of the A-share market, including style performance and crowding levels, highlighting the relative performance of growth vs dividend, small-cap vs large-cap, micro-cap stocks vs CSI 800, and momentum vs reversal [24][25][33] - Growth vs Dividend: Crowding level is at a historically high position (69%), with cumulative excess net value also at a high level, showing an increase over the past week [33][34][36] - Small-cap vs Large-cap: Crowding level is at a historically low position (34%), with cumulative excess net value at a balanced level, showing an increase over the past week [36][38][39] - Micro-cap stocks vs CSI 800: Crowding level is at a historically high position (82%), with cumulative excess net value at an extremely high level, remaining stable over the past week [39][41][42] - Momentum vs Reversal: Momentum style outperformed reversal style this week, contrary to long-term trends, as the total amount of active stock funds decreased [44][46][49] - The report discusses the relationship between U.S. bond yields and style indices, noting deviations from long-term trends in the past week [44][46][47] - The report provides detailed calculations for style crowding levels and cumulative excess net value, including methodologies for Z-score standardization and rolling historical percentiles [127][128] - The report highlights the historical percentile of institutional research activity across indices, sectors, and industries, with notable activity in upstream cycles and industries like steel and consumer services [109][111][111] - The report includes data on A-share valuation and equity-bond risk premium (ERP), indicating that overall equity allocation is at a balanced level [66][77][86] - The report provides insights into fund flows, including issuance and existing scale of active and passive equity funds, showing mixed trends in recent weeks [90][100][103] - The report tracks major capital indices, showing relative performance against the Wind All A Index, with QFII and private equity indices leading gains [87][88][90] - The report discusses trends in bond yields and the China-U.S. yield spread, highlighting recent changes and historical positions [112][113][117] - The report analyzes currency market trends, noting the appreciation of the onshore and offshore RMB against the USD in the past week [119][121][122] - The report provides an overview of commodity market performance, with mixed results across different indices in China and the U.S. [123][125][126]

Core Points - The core issue revolves around the regulatory actions taken against First Entrepreneurship's subsidiary, Yi Chuang Investment Bank, for failing to diligently supervise the convertible bond project of Hongda Xingye in 2019 [1][9][12] - The incident highlights the increasing scrutiny and accountability of brokerage firms regarding their continuous supervision responsibilities [11][13] Group 1: Regulatory Actions - On October 31, First Entrepreneurship announced that its subsidiary Yi Chuang Investment Bank received a notice of investigation from the China Securities Regulatory Commission (CSRC) due to alleged negligence in its supervisory duties [1] - The Chongqing Securities Regulatory Bureau also issued two penalties on the same day, including a warning letter to the Chongqing branch of Bank of China Securities and corrective measures against a securities practitioner named Peng Yi [3][6] Group 2: Violations and Penalties - Hongda Xingye was previously penalized for serious violations of information disclosure laws, resulting in a total fine of 57.8 million yuan (approximately 8.2 million USD) [9][10] - Key individuals involved in the violations, including the actual controller Zhou Yifeng, received severe penalties, including lifetime bans from the securities market [9][10] Group 3: Industry Implications - The case against Yi Chuang Investment Bank is indicative of stricter enforcement of continuous supervision responsibilities within the brokerage industry, with 42 penalties issued for similar violations affecting 22 brokerage firms in 2024 alone [11] - The industry is anticipating the implementation of new regulations for continuous supervision, which aim to establish clearer standards and guidelines for brokerage firms [11][12]

Core Viewpoint - The Chongqing branch of Zhongyin International Securities Co., Ltd. has been issued a warning letter by the Chongqing Securities Regulatory Bureau due to violations related to improper management of client securities accounts and inadequate internal controls [3]. Group 1: Violations and Findings - The Chongqing branch was found to have employees using other people's securities accounts to hold and trade stocks, as well as improperly allowing others to use client accounts [3]. - The branch failed to timely detect and effectively prevent these violations, indicating weak internal management and a lack of effective monitoring of abnormal trading activities [3]. - There was inadequate compliance management regarding the conduct of employees, which led to these regulatory breaches [3]. Group 2: Regulatory Actions - In response to the violations, the Chongqing Securities Regulatory Bureau decided to issue a warning letter as an administrative regulatory measure [3]. - The bureau has mandated that the branch must strengthen its compliance and personnel management to prevent similar issues from occurring in the future [3].

Core Viewpoint - The Chongqing Securities Regulatory Bureau issued a warning letter to Zhongyin International Securities Co., Ltd. due to violations related to improper use of client accounts and inadequate internal management [1] Group 1: Regulatory Actions - Zhongyin International Securities has faced multiple regulatory actions due to compliance issues, including improper management of client accounts and failure to monitor abnormal trading activities [1] - In July, the Inner Mongolia Securities Regulatory Bureau issued a warning letter to the Hohhot branch of Zhongyin International Securities for compliance violations [1] - In June, the Hubei Securities Regulatory Bureau issued a warning letter to an employee for providing investment advice without proper registration [1] - In May, a warning letter was issued to an employee in the Ganzhou branch for exceeding authorized practice limits [1] Group 2: Financial Penalties - A financial supervisor at the Urumqi Dongfeng Road branch of Zhongyin Securities was fined 50,000 yuan for illegal securities trading [2]

Group 1 - The company, Lianhua Technology, announced that on October 30, 2025, it will accept an investor survey conducted by Bank of China Securities, with senior vice president and secretary Chen Feibiao participating in the reception and addressing investor questions [1] - There have been reports of "negative electricity prices" in multiple regions, raising questions about why power plants are reluctant to shut down despite not making profits from selling electricity [1]