Monetary Policy Insights - The discussion around the establishment of a new price-based overnight tool by the People's Bank of China (PBOC) is driven by the need to enhance guidance on overnight market interest rates[1] - The transition from quantity-based to price-based monetary policy aims to strengthen the role of interest rate signals[1] - The current monetary policy in China is characterized by a balance of quantity and price, with the 7-day reverse repo rate serving as the short-term policy rate[2] Economic Indicators - Fixed asset investment has decreased by 3.80% year-on-year[3] - Retail sales have shown a modest increase of 0.90% year-on-year[3] - Exports have increased by 6.60% year-on-year, indicating some resilience in external demand[3] Market Trends - The overnight interest rates have shown increased volatility, often approaching the upper and lower bounds of the current interest rate corridor[1] - The banking system in China has not yet formed a "sufficient reserve system," which is crucial for effective price-based monetary control[2] - The real estate market shows signs of recovery, with both new and second-hand home transactions increasing, although inventory pressure remains high with a sales-to-inventory ratio of 127.8, a historical high[40][41] Risks and Challenges - There are significant uncertainties in overseas markets that could impact domestic economic stability[2] - The overall economic recovery is still hindered by weak production, insufficient consumer demand, and high inventory levels, indicating that a comprehensive recovery will take time[13]

Monetary Policy Insights - The discussion on whether the People's Bank of China (PBOC) should create new price-based overnight tools is driven by the need to enhance guidance on overnight market rates and the recent volatility in interbank overnight rates[1] - The PBOC is currently in a phase of balancing both quantity and price in its monetary policy, with the 7-day reverse repo rate serving as the short-term policy rate[2] - The effectiveness of a price-based framework in China hinges on the establishment of an "ample reserve system," which has not yet been fully realized[2] Economic Indicators - Fixed asset investment has decreased by 3.80% year-on-year[3] - Retail sales have shown a modest increase of 0.90% year-on-year[3] - Exports have increased by 6.60% year-on-year, indicating some resilience in external demand[3] Market Trends - The real estate market shows signs of recovery, with both new and second-hand home transactions increasing, although inventory pressure remains high with a sales-to-inventory ratio of 127.8, a historical high[40] - The logistics data indicates a year-on-year increase of 12.2% in commercial activity, reflecting a recovery in consumer demand despite a 70.1% decline in movie box office revenues[20] - The port cargo throughput has decreased by 1.70% month-on-month but increased by 6.87% year-on-year, influenced by seasonal factors[23] Fiscal and Monetary Developments - The broad deficit issuance is expected to increase, with net financing of government bonds projected at 1,420 billion and new special bonds at 3,024 billion in the upcoming week[32] - The willingness to leverage in the bond market remains high, with the balance of bonds awaiting repurchase still above historical levels[38]

Asset Allocation Insights - Core conclusion favors equities over commodities and bonds, with a macro backdrop of "monetary + credit" easing, shifting focus from valuation recovery to profit realization[2] - The model indicates a preference for equities, suggesting a hierarchy of performance: stocks > commodities > bonds[6] Precious Metals - Gold's pricing logic is shifting from real interest rates to order security, supported by four strong pricing factors: inflation, interest rates, safe-haven demand, and central bank activity[2] - Silver shows signs of divergence with smart money exiting positions, raising concerns about potential volatility due to tightening margin policies at major exchanges[12] Currency Trends - The Chinese yuan has shown a modest increase of less than 0.6% in January, lagging behind a 2% decline in the US dollar index, indicating a potential for seasonal weakness in February[17] - The Japanese yen's pricing anchor has shifted from interest rate differentials to fiscal concerns, limiting its appreciation potential amid upcoming elections[23] A-Share Market Dynamics - The A-share market is transitioning from a "crazy bull" to a "slow bull," with extreme equity-to-bond value ratios providing core support[2] - Focus on sectors benefiting from supply-demand recovery, particularly in high-growth areas like rail transit and battery production[31] US Equity Market Outlook - The S&P 500's tech sector is facing valuation pressures, with an estimated 8% gap between market cap and profit contribution, indicating overvaluation risks[45] - The market anticipates over 38% profit growth for tech stocks, a high bar that may not be met, raising concerns about future performance[45] US Treasury Bonds - Short-term US Treasury yields are stabilizing, supported by resilient economic data, while long-term concerns persist due to a 6% budget deficit and lack of fiscal discipline[57] - Recommended strategy includes a core holding of 3-5 year investment-grade bonds while controlling long-end exposure to mitigate fiscal expansion risks[57]

Core Insights - The report concludes that equities are favored over commodities and bonds, with a macroeconomic backdrop characterized by a "dual easing" of monetary and credit conditions, shifting the global narrative from valuation recovery to earnings realization [2] - In the equity market, U.S. tech stocks and South Korean storage sectors are in sync, while A-shares are expected to experience a "de-involution" supply-demand recovery under extreme value conditions [2] - Gold is highlighted as having long-term allocation value due to a shift in pricing logic, while the bond market is constrained by fiscal premiums and persistent inflation, suggesting a defensive stance with short-duration bonds [2] Asset Allocation - The report emphasizes a "dual easing" environment, indicating that liquidity remains ample and credit conditions are improving, which supports the preference for equities over commodities and bonds [6] - The liquidity index shows stable fluctuations, and the marginal improvement in credit conditions offsets the high base effects, indicating solid financial support for the real economy [6] Precious Metals - Gold's pricing anchor is shifting from real interest rates to order security, with geopolitical tensions enhancing its appeal as a safe-haven asset [11] - Silver shows signs of divergence, with a retreat in smart money positions despite rising prices, indicating potential short-term volatility due to speculative unwinding [14][16] Currency Outlook - The report warns of a potential depreciation of the Chinese yuan, with a notable lag in its performance compared to the U.S. dollar and other G10 currencies [17] - The Japanese yen's pricing anchor has shifted from interest rate differentials to fiscal concerns, limiting its appreciation potential [23] A-Share Market - The A-share market is transitioning from a "crazy bull" to a "slow bull" phase, with extreme value conditions providing core support [27] - The report suggests focusing on sectors with strong supply-demand dynamics, such as rail transit and battery industries, while also identifying areas of supply contraction [31] U.S. Equity Market - The report notes that the U.S. equity market is experiencing stringent pricing, with the tech sector's market cap significantly exceeding its profit contribution, indicating a potential overvaluation [45] - The upcoming earnings season is expected to reveal a negative skew in market reactions, with even positive earnings surprises leading to stock price declines [34] South Korean Equity Market - South Korea's stock market is benefiting from a super cycle in AI storage chips, with earnings forecasts for 2026 being significantly upgraded, positioning it as a leader in the Asia-Pacific region [46] U.S. Bond Market - The U.S. bond market shows resilience in the short term, with economic data indicating strength and inflation remaining manageable, but long-term concerns about fiscal deficits persist [49][57] - The report recommends a strategy focused on short-duration investment-grade bonds while controlling exposure to long-term risks associated with fiscal expansion [57]

Quantitative Models and Factor Analysis Summary Quantitative Models and Construction Methods Model Name: Guosen JinGong Index Enhanced Portfolio - **Model Construction Idea**: The model aims to outperform its respective benchmarks by constructing enhanced portfolios based on multiple factors[11] - **Model Construction Process**: - **Return Prediction**: Predicting the returns of stocks within the benchmark index - **Risk Control**: Implementing risk control measures to manage portfolio risk - **Portfolio Optimization**: Optimizing the portfolio to maximize returns while adhering to constraints such as industry exposure, style exposure, stock weight deviation, and turnover rate[12] - **Model Evaluation**: The model is designed to consistently outperform its benchmarks by leveraging multiple factors[11] Model Backtesting Results Guosen JinGong Index Enhanced Portfolio - **CSI 300 Index Enhanced Portfolio**: - Weekly Excess Return: 0.00% - Year-to-Date Excess Return: 3.00%[5][14] - **CSI 500 Index Enhanced Portfolio**: - Weekly Excess Return: 0.01% - Year-to-Date Excess Return: -0.88%[5][14] - **CSI 1000 Index Enhanced Portfolio**: - Weekly Excess Return: 0.90% - Year-to-Date Excess Return: 2.17%[5][14] - **CSI A500 Index Enhanced Portfolio**: - Weekly Excess Return: -0.53% - Year-to-Date Excess Return: 2.90%[5][14] Quantitative Factors and Construction Methods Factor Name: Dividend Yield - **Factor Construction Idea**: Measures the dividend income relative to the stock price, indicating the return on investment from dividends[17] - **Factor Construction Process**: - Formula: $\text{Dividend Yield} = \frac{\text{Dividend per Share}}{\text{Stock Price}}$ - The factor is calculated as the sum of the dividends declared over the last four quarters divided by the current market capitalization[17] - **Factor Evaluation**: The dividend yield factor is effective in identifying stocks with high dividend returns, which can be attractive to income-focused investors[17] Factor Name: EPTTM (Earnings to Price TTM) - **Factor Construction Idea**: Measures the earnings relative to the stock price over the trailing twelve months, indicating the profitability of the company[17] - **Factor Construction Process**: - Formula: $\text{EPTTM} = \frac{\text{Earnings TTM}}{\text{Market Capitalization}}$ - The factor is calculated as the total earnings over the trailing twelve months divided by the current market capitalization[17] - **Factor Evaluation**: The EPTTM factor is useful for identifying undervalued stocks with strong earnings performance[17] Factor Name: BP (Book to Price) - **Factor Construction Idea**: Measures the book value relative to the stock price, indicating the intrinsic value of the company[17] - **Factor Construction Process**: - Formula: $\text{BP} = \frac{\text{Book Value}}{\text{Market Capitalization}}$ - The factor is calculated as the book value of equity divided by the current market capitalization[17] - **Factor Evaluation**: The BP factor helps in identifying stocks that are potentially undervalued based on their book value[17] Factor Backtesting Results CSI 300 Index Sample Space - **Best Performing Factors (Recent Week)**: Expected PEG, Single Quarter ROA, EPTTM[1][19] - **Worst Performing Factors (Recent Week)**: Three-Month Reversal, Expected Net Profit QoQ, One-Month Turnover[1][19] CSI 500 Index Sample Space - **Best Performing Factors (Recent Week)**: Dividend Yield, EPTTM, BP[1][20] - **Worst Performing Factors (Recent Week)**: Expected Net Profit QoQ, Single Quarter Operating Profit YoY Growth, Three-Month Institutional Coverage[1][20] CSI 1000 Index Sample Space - **Best Performing Factors (Recent Week)**: Single Quarter ROA, Single Quarter ROE, Standardized Unexpected Revenue[1][22] - **Worst Performing Factors (Recent Week)**: One-Month Reversal, Single Quarter Net Profit YoY Growth, Three-Month Reversal[1][22] CSI A500 Index Sample Space - **Best Performing Factors (Recent Week)**: Dividend Yield, Single Quarter Revenue YoY Growth, Single Quarter ROA[1][24] - **Worst Performing Factors (Recent Week)**: Expected Net Profit QoQ, Single Quarter Net Profit YoY Growth, Single Quarter Operating Profit YoY Growth[1][24] Public Fund Heavy Index Sample Space - **Best Performing Factors (Recent Week)**: Dividend Yield, Single Quarter ROA, DELTAROA[1][27] - **Worst Performing Factors (Recent Week)**: Three-Month Reversal, Three-Month Institutional Coverage, Single Quarter Net Profit YoY Growth[1][27]

证券研究报告 | 2026年01月30日 2026年01月31日 策略周报 南向和外资净流入规模放量——1 月第 4 周全球外资周观察 核心结论：①北向资金：最近一周可能小幅净流出，其中灵活型外资可能小 幅净流入。②港股：稳定型外资流出 35 亿港元，灵活型外资流入 82 亿港元， 港股通流入 126 亿港元。③亚太市场：外资本周流入日本，12 月外资流出印 度。④美欧市场：12 月资金流入欧洲，流入美国。 A 股：最近一周北向资金可能小幅净流入。最近一周（2026/1/26-2026/1/30， 下 同 ） 交 易 日 期 间 北 向 资 金 估 算 净 流 出 9 亿 元 ， 前 一 周 （2026/1/19-2026/1/23，下同）估算净流出 93 亿元。最近一周交易日期间 灵活型外资估算净流入 25 亿元，前一周估算净流入 32 亿元。此外，我们汇 总最近一周陆股通每日前十大活跃个股，其中紫金矿业（本周陆股通双向成 交总金额为 247 亿元，占个股当周交易金额比重的 9%，下同）、宁德时代（224 亿元、17%）、中际旭创（193 亿元、10%）成交较为活跃。 港股：南向和外资净流入规模放量。根据港 ...

Group 1: Market Trends - The A-share market is expected to maintain stability and has further upward potential, with a balanced allocation strategy recommended, particularly focusing on technology represented by AI applications and traditional assets like liquor and real estate[1] - Since December 17, 2025, the A-share spring market has gradually unfolded, with significant contributions from broad-based ETFs, flexible foreign capital, and leveraged funds[1] - The cumulative excess returns of growth and cyclical sectors have recently declined, while the negative excess returns of financial and consumer sectors have significantly recovered[1] Group 2: Historical Context - Historically, during spring market periods, both growth and value styles have performed well, with average maximum gains of 24.0% for growth and 23.5% for value since 2005[2] - The current market structure is showing signs of convergence towards balance as the spring market progresses into its later stages, consistent with historical patterns observed in previous bull markets[2] - The A-share industry rotation strength was at a historical low of 18% as of January 23, indicating a lack of significant rotation, but this metric has recently shown signs of recovery[1] Group 3: Future Outlook - The current A-share index has a potential upside of approximately 20%, while the maximum increase since December 17, 2025, has only been 9.8%, indicating room for growth[3] - Continued macroeconomic policy support is expected to provide a fundamental basis for market growth, with a focus on stabilizing the real estate market as announced by the Ministry of Housing and Urban-Rural Development[3] - The upcoming bull market in 2026 is anticipated to enter its later stages, driven by the recovery of macro and micro fundamentals and increased participation from retail investors[3]

多资产图景： 证券研究报告 | 2026年01月31日 多资产周报 贵金属大幅回调 贵金属大幅回调。1 月 30 日，金价在短短 30 小时内发生大跳水，单日跌 幅一度扩大至 12%，录得 1983 年以来最大单日跌幅。（1）原因来看， 1 月 30 日贵金属的崩盘，直接导火索是美国总统提名凯文·沃什为下一 任美联储主席。沃什以批评量化宽松著称，主张缩减美联储资产负债表 并维持更高的中性利率。市场此前一直定价持续降息和弱美元，沃什的 提名瞬间逆转了这一逻辑。与此同时，当黄金涨幅过大偏离价值中枢后， 地缘政治的利好已在盘面出尽，反而成为了多头获利了结的借口。（2） 交易层面看，金价跌破关键支撑位后，触发了大量量化模型的止损卖盘。 由于 1 月前两周的涨幅属于典型的加速赶顶，市场净多头头寸过于集中。 一旦方向反转，踩踏效应便不可避免。（3）往后看，短期市场正在消 化沃什时代的美联储可能带来的更高利率环境。美元指数在跌破 96 后 强力回升，这对以美元计价的所有大宗商品构成了系统性压制。经过大 跌后，市场情绪从极致亢奋转为恐慌。散户投资者在白银 ETF 上的大规 模撤离，预示着短期内恐难组织起有效的二次进攻。但中期 ...

证券研究报告 | 2026年01月31日 1 月 PMI 数据解读 "十五五"首份成绩单表现如何？ 资料来源：Wind，中采咨询，国信证券经济研究所整理 结论：1 月制造业 PMI 环比回落，再次回到荣枯线以下。一方面去年 12 月 PMI 逆势冲高，导致环比高基 数；另一方面 1 月低温气候和节日影响，生产有所回落。较为不同的是，在生产和需求回落的同时，价格 指数却出现明显的上行，特别是购进价格上行了 3 个百分点，呈现"量跌价升"的特征，推测是"反内卷" 政策效果逐渐显现，叠加大宗商品等价格提高导致，1 月 CPI 和 PPI 数据或出现回升。非制造业同样经历 了冲高回落，主要是建筑业中的房屋建筑业拖累较多，相反居民服务业出现上行。后续随着 2 月进入春节 假期，制造业 PMI 环比或再次下行。 经济研究·宏观快评 | 证券分析师： | 王奕群 | 0755-81982462 | wangyiqun1@guosen.com.cn | 执证编码：S0980525110002 | | --- | --- | --- | --- | --- | | 证券分析师： | 田地 | 0755-81982035 | t ...

- The report tracks the performance of Guosen Financial Engineering's index enhancement portfolios, which are constructed using multi-factor stock selection models targeting benchmarks such as CSI 300, CSI 500, CSI 1000, and CSI A500 indices[11][12][14] - The construction process of the index enhancement portfolios includes three main components: return prediction, risk control, and portfolio optimization[12] - Single-factor Maximized Factor Exposure (MFE) portfolios are constructed for each factor within different stock selection spaces (e.g., CSI 300, CSI 500, CSI 1000, CSI A500, and public fund heavy positions index) to evaluate the effectiveness of individual factors under real-world constraints[15][40][41] - The optimization model for MFE portfolios aims to maximize single-factor exposure while controlling for constraints such as style exposure, industry exposure, individual stock weight deviation, component stock weight proportion, and individual stock weight limits[40][41][42] - The formula for the optimization model is: $\begin{array}{ll}max&f^{T}\ w\\ s.t.&s_{l}\leq X(w-w_{b})\leq s_{h}\\ &h_{l}\leq H(w-w_{b})\leq h_{h}\\ &w_{l}\leq w-w_{b}\leq w_{h}\\ &b_{l}\leq B_{b}w\leq b_{h}\\ &\mathbf{0}\leq w\leq l\\ &\mathbf{1}^{T}\ w=1\end{array}$ where `f` represents factor values, `w` is the stock weight vector, and constraints include style, industry, and stock-specific limits[40][41] - Factors are categorized into valuation, reversal, growth, profitability, liquidity, volatility, corporate governance, and analyst dimensions, with over 30 factors tracked, such as BP, EPTTM, ROA, ROE, and dividend yield[16][17] - Factor performance varies across different stock selection spaces. For example, in the CSI 300 space, factors like expected PEG, single-quarter ROA, and EPTTM performed well recently, while factors like three-month reversal and one-month turnover performed poorly[19] - In the CSI 500 space, factors such as dividend yield, EPTTM, and BP showed strong performance recently, while factors like three-month reversal and single-quarter profit growth rate underperformed[20][21] - In the CSI 1000 space, factors like single-quarter ROA, single-quarter ROE, and standardized unexpected income performed well, while factors like one-month reversal and three-month reversal lagged[22][23] - In the CSI A500 space, factors such as dividend yield, single-quarter revenue growth rate, and single-quarter ROA performed well, while factors like expected net profit quarter-on-quarter and single-quarter profit growth rate underperformed[24][25] - In the public fund heavy positions index space, factors like dividend yield, single-quarter ROA, and DELTAROA performed well recently, while factors like three-month reversal and single-quarter profit growth rate lagged[26][27] - The report also tracks the performance of public fund index enhancement products, including CSI 300, CSI 500, CSI 1000, and CSI A500 enhancement products, with metrics such as excess returns over different periods[28][32][35][37][39]