Group 1: DeepSeek-V3.2 Series Release - The release of DeepSeek-V3.2 marks a significant advancement in open-source large models, achieving performance levels comparable to top closed-source models[3] - The Speciale version of DeepSeek-V3.2 has excelled in international competitions, ranking second in the ICPC and winning gold medals in the IMO, demonstrating its potential to reach human-level intelligence[4] - DeepSeek-V3.2 integrates thinking modes with tool invocation, enhancing the model's generalization and execution capabilities across complex scenarios[5] Group 2: Market Trends and Predictions - The 2025 Winter FORCE Conference is set to focus on Agentic AI, with significant updates expected for the Doubao model family and AI application capabilities[9] - Doubao model's daily token usage surged from 120 billion in May 2024 to over 30 trillion by September 2025, indicating a 253-fold increase in usage[10] - The report predicts that the 2026 monetary policy will emphasize "wide credit" rather than merely "wide loans," aligning with fiscal measures to support economic growth[35] Group 3: Company Coverage and Financial Projections - Faway Automobile Components (600742) is rated "Overweight" with a target price of RMB 14.10, based on stable automotive parts business and expansion into robotics and low-altitude economy[13] - Projected revenues for Faway are RMB 208.72 million, RMB 220.62 million, and RMB 231.65 million for 2025, 2026, and 2027 respectively, with net profits of RMB 6.30 million, RMB 6.99 million, and RMB 7.75 million[13] - The company is actively developing humanoid robots and EVTOL interior designs, leveraging its automotive parts manufacturing expertise[15]

Quantitative Factors and Construction Factor Name: KeyPeriod_ret_zero - **Construction Idea**: This factor focuses on the return characteristics during horizontal trading periods within key intraday timeframes, leveraging Level 2 tick data to refine minute-frequency factors[7][25][41] - **Construction Process**: - Identify horizontal trading periods based on minimal price fluctuations - Calculate returns during these periods using tick-level data - Aggregate and smooth the data over different time horizons (e.g., 5-day, 20-day)[25][27] - **Evaluation**: Demonstrates strong predictive power for stock selection, with high IC stability and win rates[7][25] Factor Name: KeyPeriod_ret_low5pct - **Construction Idea**: This factor captures return characteristics during significant downward price movements within key intraday timeframes[7][25][64] - **Construction Process**: - Identify periods where returns fall within the bottom 5% of all intraday returns - Calculate and aggregate these returns over different time horizons - Apply smoothing techniques to enhance signal stability[25][27] - **Evaluation**: Exhibits robust performance in identifying underperforming stocks, with high IC values and win rates[7][25] Factor Name: KeyPeriod_price_low5pct - **Construction Idea**: This factor focuses on price levels during periods of low prices (bottom 5%) within key intraday timeframes[7][25][88] - **Construction Process**: - Identify periods where prices fall within the bottom 5% of all intraday prices - Aggregate and smooth the data over different time horizons - Incorporate buy/sell distinctions for further refinement[25][32] - **Evaluation**: Effective in capturing undervalued stocks, with strong IC performance and high win rates[7][25] Factor Name: KeyPeriod_amount_top30pct - **Construction Idea**: This factor targets periods of high transaction amounts (top 30%) within key intraday timeframes[7][25][110] - **Construction Process**: - Identify periods where transaction amounts are in the top 30% of all intraday amounts - Aggregate and smooth the data over different time horizons - Differentiate between buy and sell transactions for enhanced granularity[25][35] - **Evaluation**: Demonstrates strong predictive power for high-liquidity stocks, with high IC values and win rates[7][25] Factor Name: KeyPeriod_amount_low50pct - **Construction Idea**: This factor captures periods of low transaction amounts (bottom 50%) within key intraday timeframes[7][25][133] - **Construction Process**: - Identify periods where transaction amounts are in the bottom 50% of all intraday amounts - Aggregate and smooth the data over different time horizons - Incorporate buy/sell distinctions for further refinement[25][35] - **Evaluation**: Useful for identifying low-liquidity stocks, though performance is less consistent compared to other factors[7][25] Factor Name: KeyPeriod_sync_low50pct - **Construction Idea**: This factor measures volume-price divergence during periods of low synchronization (bottom 50%) within key intraday timeframes[7][25][155] - **Construction Process**: - Identify periods where volume and price movements are least synchronized - Aggregate and smooth the data over different time horizons - Differentiate between buy and sell transactions for enhanced granularity[25][38] - **Evaluation**: Effective in capturing unique market dynamics, with strong IC performance and high win rates[7][25] --- Backtesting Results KeyPeriod_ret_zero - **IC Mean**: -5.36% (20-day horizon)[27] - **Win Rate**: 85.1% (20-day horizon)[27] - **IR**: 1.34 (2020-2025)[55] KeyPeriod_ret_low5pct - **IC Mean**: 5.47% (20-day horizon)[27] - **Win Rate**: 84.1% (20-day horizon)[27] - **IR**: 1.41 (2020-2025)[77] KeyPeriod_price_low5pct - **IC Mean**: 5.59% (20-day horizon)[32] - **Win Rate**: 85.3% (20-day horizon)[32] - **IR**: 2.22 (2020-2025)[97] KeyPeriod_amount_top30pct - **IC Mean**: 11.23% (20-day horizon)[35] - **Win Rate**: 84.8% (20-day horizon)[35] - **IR**: 1.37 (2020-2025)[123] KeyPeriod_amount_low50pct - **IC Mean**: -10.50% (20-day horizon)[35] - **Win Rate**: 75.0% (20-day horizon)[35] - **IR**: 0.77 (2020-2025)[145] KeyPeriod_sync_low50pct - **IC Mean**: 6.00% (20-day horizon)[38] - **Win Rate**: 81.5% (20-day horizon)[38] - **IR**: 1.44 (2020-2025)[172]

Macro and Strategy - The upstream resource sector is stabilizing, with coal prices slightly rising, while the oil and petrochemical sectors remain weak, with significant year-on-year declines in refined oil and natural gas prices [7][8] - The manufacturing sector shows overall recovery, with strong performance in machinery and equipment, while the automotive industry is gradually improving [7] - Consumer sectors are experiencing mixed recovery, with real estate showing marginal improvement and entertainment sectors rebounding significantly [8] Industry and Company - The Hong Kong stock market's December investment strategy suggests that the November pullback has created a favorable environment for 2026 [9] - The electronics sector is optimistic, with ASICs expected to open new markets and Quark's smart glasses enhancing AI edge trends [11][12] - The mechanical industry is focusing on humanoid robots and AI infrastructure, with significant developments in robot operating systems and standardization efforts [17][18] Investment Recommendations - Focus on AI-related sectors, including hardware localization and AI applications, as they are expected to be crucial in 2026 [10] - The materials and industrial sectors are anticipated to benefit from the "anti-involution" trend, with upstream metals and certain industrial companies likely to gain [10] - The innovative pharmaceutical sector is stable and worth holding, with potential for growth upon new project releases [10] Market Performance - The global smartphone market is projected to grow by 3.3% in 2025, with Apple expected to become the leading smartphone brand for the first time since 2011 [15][16] - The semiconductor industry is seeing broad growth, with companies like ADI reporting significant revenue increases and positive outlooks for 2026 [16] Key Events and Developments - The launch of Quark's smart glasses and Google's potential sale of TPU chips are notable developments in the electronics sector [12][13] - The introduction of new DDR5 and LPDDR5X products by Changxin Storage indicates growth opportunities in the storage market [14] Focused Investment Areas - Emphasis on humanoid robots and AI infrastructure, with specific attention to companies involved in energy supply and cooling solutions for AI data centers [19][21] - The low-altitude economy and smart welding robots are emerging sectors with significant growth potential [21][22]

Group 1 - The new stock fundraising scale has decreased month-on-month, with a total of 11 new stocks listed in November 2025, raising 10.188 billion yuan, but still maintaining a fundraising level above 10 billion yuan [4] - The average first-day increase for new stocks on the main board and the dual innovation board was 177.8% and 267.7%, respectively, indicating strong initial market performance [4] - The number of offline inquiry accounts continues to grow, reflecting sustained high demand for new stock subscriptions [4] Group 2 - The market sentiment has cooled slightly, with the proportion of rising stocks in the CSI 300 index decreasing month-on-month, although it remains above 50% [5] - Momentum indicators show a downward trend, suggesting a cautious outlook for the near future [5] - The CSI 300 index is currently in a non-prosperous emotional zone, indicating potential challenges ahead [5] Group 3 - The inbound tourism market in China is entering a high-quality development phase, driven by visa-free policies and cultural outreach, with significant growth potential [6] - Leading OTA companies like Ctrip and Trip.com are expected to benefit from the inbound tourism boom, while Tongcheng Travel is expanding into international markets [6] - Zhongxin Tourism is gradually starting its inbound tourism business, leveraging its rich domestic and international supply chain resources [6] Group 4 - The price of electrolytic cobalt reached 400,000 yuan per ton, with a month-on-month increase of 1.8%, indicating rising costs in the materials sector [7] - The price of carbon fiber remained stable at 83.8 yuan per kilogram, with a gross profit margin of -9.53 yuan per kilogram [7] Group 5 - The commercial aerospace sector is entering a new phase of rapid development, with the introduction of a three-year action plan and the establishment of a commercial aerospace department by the National Space Administration [7] - Investment opportunities in the commercial aerospace industry are being highlighted as a result of these developments [7] Group 6 - Xiaopeng Motors reported a year-on-year increase of 18.9% in deliveries, totaling 36,728 vehicles, while NIO saw a significant year-on-year increase of 147.9% [8] - Li Auto's deliveries decreased by 31.9% year-on-year, totaling 33,181 vehicles, indicating varying performance among new energy vehicle manufacturers [8] Group 7 - Shuiyang Co., Ltd. announced an employee stock ownership plan, reflecting long-term development confidence, with a funding source of up to 51.04 million yuan [8] - The plan involves a maximum of 938 participants and includes stock repurchased at a price of 20.46 yuan per share, accounting for 0.64% of the total share capital [8]

Core Insights - The report indicates a general rebound in high-frequency factors, with significant improvement in multi-granularity factor long positions, and AI-enhanced portfolios showing stable performance with positive returns across multiple combinations [2][5]. High-Frequency Factors and Deep Learning Factors Summary - High-frequency skew factor returns for the last week, November, and 2025 YTD are 1.93%, 1.29%, and 23.56% respectively [5][10]. - Downward volatility proportion factor returns for the last week, November, and 2025 YTD are 1.63%, 1.44%, and 20.42% respectively [5][10]. - Opening buy intention proportion factor returns for the last week, November, and 2025 YTD are 1.21%, 1.17%, and 20.51% respectively [5][10]. - Opening buy intention strength factor returns for the last week, November, and 2025 YTD are 1.17%, 1.36%, and 27.15% respectively [5][10]. - Opening large order net buy proportion factor returns for the last week, November, and 2025 YTD are 1.35%, 1.00%, and 21.94% respectively [5][10]. - Opening large order net buy strength factor returns for the last week, November, and 2025 YTD are 0.97%, -0.49%, and 12.12% respectively [5][10]. - Daily return factor for the last week, November, and 2025 YTD is 0.01%, -0.60%, and 21.42% respectively [5][10]. - End-of-day transaction proportion factor returns for the last week, November, and 2025 YTD are 1.64%, -0.07%, and 15.70% respectively [5][10]. - Average single outflow amount proportion factor returns for the last week, November, and 2025 YTD are 0.02%, -2.91%, and -5.96% respectively [5][10]. - Large order driving increase factor returns for the last week, November, and 2025 YTD are -0.34%, -0.49%, and 8.12% respectively [5][10]. AI Enhanced Portfolio Performance - The weekly rebalancing of the CSI 500 AI enhanced wide constraint portfolio shows excess returns of -0.08%, 4.36%, and 8.33% for the last week, November, and 2025 YTD respectively [5][13]. - The weekly rebalancing of the CSI 500 AI enhanced strict constraint portfolio shows excess returns of 0.19%, 2.75%, and 11.02% for the last week, November, and 2025 YTD respectively [5][13]. - The weekly rebalancing of the CSI 1000 AI enhanced wide constraint portfolio shows excess returns of 0.11%, 4.58%, and 18.58% for the last week, November, and 2025 YTD respectively [5][13]. - The weekly rebalancing of the CSI 1000 AI enhanced strict constraint portfolio shows excess returns of 0.11%, 1.93%, and 20.77% for the last week, November, and 2025 YTD respectively [5][13].

Quantitative Models and Construction Methods Dividend Enhancement Portfolio - **Model Name**: Dividend Enhancement Portfolio - **Model Construction Idea**: The model focuses on selecting high-quality dividend stocks and constructing portfolios that outperform the benchmark dividend index by leveraging dividend quality and growth factors[7][15][21] - **Model Construction Process**: - The portfolio is constructed by selecting stocks with high dividend yields and strong dividend growth potential - The selection process incorporates a combination of fundamental analysis and quantitative screening to identify stocks with stable and growing dividends - The portfolio is rebalanced periodically to ensure alignment with the dividend quality and growth criteria[13][14][15] - **Model Evaluation**: The model demonstrates strong performance in capturing excess returns over the benchmark dividend index, particularly in volatile market conditions[7][15][21] Electronic Balanced Allocation Enhancement Portfolio - **Model Name**: Electronic Balanced Allocation Enhancement Portfolio - **Model Construction Idea**: This model aims to achieve excess returns by balancing exposure across various sub-sectors within the electronics industry, focusing on growth and stability[7][24][29] - **Model Construction Process**: - The portfolio is constructed by allocating weights to sub-sectors such as LED chips and semiconductor distribution, which exhibit strong growth potential - Quantitative screening is applied to identify leading companies within these sub-sectors - The portfolio is periodically rebalanced to maintain a balanced exposure across the electronics industry[13][14][24] - **Model Evaluation**: The model effectively captures excess returns and ranks in the top 15% of active technology-themed products in terms of weekly performance[7][24][29] --- Model Backtesting Results Dividend Enhancement Portfolio - **Weekly Excess Return**: Approximately 0.23% for the "Central SOE High Dividend 30 Portfolio" and 1.45% for the "Balanced Dividend 50 Portfolio"[7][15][21] - **Year-to-Date Excess Return**: The "Balanced Dividend 50 Portfolio" achieved an excess return of approximately 7.91% relative to the benchmark dividend index, ranking in the top 35% of all dividend-themed funds[21] Electronic Balanced Allocation Enhancement Portfolio - **Weekly Excess Return**: Approximately 0.89%, ranking in the top 15% of active technology-themed products[7][24][29]

Group 1: Market Strategy - The market is likely still in a bull phase, but may enter a wide fluctuation stage in the short term. Compared to previous bull markets, there is still significant room for index growth, but the duration of the bull market may be more important than the magnitude of the increase due to government guidance on a "slow bull" policy [5][6] - Short-term market catalysts may be lacking, and year-end investor behavior may trend towards caution, leading to a focus on consolidation in the stock market [5] Group 2: Financial Engineering - A-shares experienced a rebound this week, with the ChiNext index leading major broad indices. However, trading volume has decreased, indicating a mismatch between volume and market performance, which may limit the strength of future rebounds [5] - Financing amounts have turned positive this week, but stock-type ETFs continue to see net outflows, suggesting that the rebound may weaken and the market could re-enter a consolidation phase [5] Group 3: Oil and Chemical Industry - The resumption of peace talks between Russia and Ukraine has led to increased volatility in oil prices, although no progress has been made on core issues. OPEC+ is expected to slow down production increases, resulting in low-level fluctuations in oil prices [7] - As of November 28, Brent and WTI crude oil prices were reported at $62.32 and $58.48 per barrel, reflecting changes of -0.3% and +0.9% respectively from the previous week [7] Group 4: Basic Chemicals - A major contract for potash fertilizer was signed at $348 per ton for 2026, maintaining China's position as a "price lowland" globally. This secures winter storage and spring planting needs, reflecting tight supply and demand conditions [8] - From January to October, China imported 9.88 million tons of potassium chloride, with Laos's share increasing to 18%. Chinese enterprises are expanding production capacity in Laos, significantly enhancing China's potash supply capabilities [8] Group 5: Company Performance - Bosideng (3998.HK) reported a revenue of 8.93 billion yuan for the first half of the fiscal year 2026 (April to September 2025), a year-on-year increase of 1.4%. The net profit attributable to shareholders was 1.19 billion yuan, up 5.3% year-on-year [8] - The gross margin slightly increased by 0.1 percentage points, and a decrease in expense ratio contributed to a net profit margin increase of 0.5 percentage points to 13.3% [8]

Group 1: Investment Opportunities in A-Share Index Adjustment - The upcoming December index adjustment is expected to create significant investment opportunities, particularly for stocks with a positive impact coefficient above 2, such as Tapa Group, Jiangzhong Pharmaceutical, and Zhengbang Technology [3][4] - The report highlights the importance of focusing on stocks that are newly added to major indices, with particular attention to Guangqi Technology and Zhongtian Technology, which are expected to experience substantial liquidity changes [4] - The passive fund outflows from stocks like Zhongji Xuchuang and Xinyi Sheng are projected to be limited due to their strong liquidity, despite their weights being reduced in various indices [4][5] Group 2: Animation and Film Industry Insights - The film industry is experiencing a recovery, with total box office revenue expected to exceed 50 billion yuan, driven by high-quality imported films and a resurgence in audience engagement [6][7] - The market is shifting towards high-quality content, with a notable increase in the contribution of narrative films to box office performance, indicating a growing demand for deep content [7] - Regulatory policies are expected to support the film industry, with initiatives aimed at expanding the understanding of mainstream themes and enhancing the supply of animated films and imported content [7][8] Group 3: Public REITs Market Development - The introduction of commercial real estate REITs marks a significant shift in China's public REITs market, moving from a focus solely on infrastructure to a dual focus on infrastructure and commercial real estate [8][9] - The potential market size for commercial real estate REITs is estimated to be between 800 billion and 1.5 trillion yuan, indicating a substantial opportunity for asset securitization in the commercial property sector [9][10] - The development of commercial real estate REITs is expected to enhance the liquidity and operational efficiency of the real estate market, addressing long-standing challenges in asset management [10][11]

- The RPV factor (Renewed Correlation of Price and Volume) is constructed by integrating intraday and overnight information, dividing price-volume into four quadrants, and leveraging monthly IC averages to identify reversal and momentum effects. It incorporates "volume" information into the correlation form, finding optimal representatives for intraday and overnight price-volume correlations and completing information integration. This factor is designed to enhance the effectiveness of price-volume correlation in stock selection [6][1][7] - The SRV factor (Smart Correlation of Price and Volume) refines intraday price movements by splitting them into morning and afternoon changes, calculating minute-level "smart" indicators, and identifying the 20% of afternoon minutes with the highest "smart" indicator values as the most informed trading periods. It uses the correlation between afternoon "smart" turnover rate and afternoon price changes. For overnight price-volume correlation, it replaces turnover rate with the turnover rate of the last half-hour of the previous day, which has a higher proportion of informed trading. The SRV factor combines the more effective intraday and overnight price-volume correlation factors into a composite factor [6][1][7] - The RPV factor achieved an annualized return of 14.29%, annualized volatility of 7.66%, IR of 1.87, monthly win rate of 72.54%, and maximum drawdown of 10.63% during the backtesting period from January 2014 to November 2025 [7][10][1] - The SRV factor achieved an annualized return of 17.03%, annualized volatility of 6.47%, IR of 2.63, monthly win rate of 74.65%, and maximum drawdown of 3.93% during the backtesting period from January 2014 to November 2025 [7][10][1] - In November 2025, the RPV factor's 10-group long portfolio had a return of -0.23%, the short portfolio had a return of -0.47%, and the long-short portfolio had a return of 0.24% [10][1][11] - In November 2025, the SRV factor's 10-group long portfolio had a return of 0.19%, the short portfolio had a return of -0.44%, and the long-short portfolio had a return of 0.63% [10][1][11]

证券研究报告·金融工程·金工定期报告 金工定期报告 20251129 "日与夜的殊途同归"新动量因子绩效月报 20251128 [Table_Tag] [Table_Summary] 报告要点 2025 年 11 月 29 日 证券分析师 高子剑 执业证书：S0600518010001 021-60199793 gaozj@dwzq.com.cn 证券分析师 庞格致 执业证书：S0600524090003 panggz@dwzq.com.cn 相关研究 《"日与夜的殊途同归"新动量因子绩 效月报 20251031》 2025-11-06 《成交量对动量因子的修正：日与夜 之殊途同归》 2022-08-17 东吴证券研究所 1 / 6 请务必阅读正文之后的免责声明部分 ◼ "日与夜的殊途同归"新动量因子多空对冲绩效（全市场）：2014 年 2 月至 2025 年 11 月，"日与夜的殊途同归"新动量因子在全体 A 股（剔 除北交所股票）中，10 分组多空对冲的年化收益率为 18.04%，年化波 动率为 8.68%，信息比率为 2.08，月度胜率为 78.17%，月度最大回撤率 为 9.07% ◼ 11 月份"日 ...