2026 年 02 月 10 日 金 融 工 程 高维宏观周期驱动风格、行业月报(2026/2):经济 景气下行、通胀细分项下行看好小盘红利风格 投资要点： 传统宏观因子、宏观周期的高维度体系构建 金 融 工 程 定 期 报 告 宏观因子变量的构建：将宏观指数分别对宽基指数、代理宏观变 量做回归，选取 t 值显著的细分宏观变量，用过去一年标准差倒数加权 构建宏观因子变量。采用单边 HP 滤波器对宏观经济数据进行调整，消 除短期波动对长期趋势判断的影响。基于滤波变量，分别用因子动量 划分宏观趋势（上行、下行）和用时序百分位划分宏观状态（高、中、 低位）。 宏观因子升维的必要性：宏观因子 A 对宽基、风格和行业的价格 传导在 A 的不同边际变化不一致，且宏观因子 A 在宏观因子 B 的不同 状态下驱动宽基、风格和行业的收益方向也不同。同一状态及其边际 变化所对应的周期混乱，我们需要将宏观变量的边际与状态结合，综 合考虑宏观变量的变化趋势和所处的时序排位。 多信号驱动下的指数择时、风格轮动 小盘全指择时：在库存处于中等向上水平时预测值最高，因此推 荐配置中证全指。 2012 年 1 月末起至 2026 年 1 月 ...

金融工程 证 券 研 究 报 告 【金工周报】（20260119-20260123） 短期择时模型以看多为主，后市或震荡向上 ❖ 本周回顾 本周市场涨多跌少，上证指数单周上涨 0.84%，创业板指单周下跌 0.34%。 A 股模型： 短期：成交量模型部分宽基指数看多。特征龙虎榜机构模型中性。特征成交量 模型中性。智能算法沪深 300 模型看多，智能算法中证 500 模型看多。 中期：涨跌停模型中性。上下行收益差模型所有宽基指数看多。月历效应模型 中性。 长期：长期动量模型中性。 综合：A 股综合兵器 V3 模型看多。A 股综合国证 2000 模型中性。 港股模型： 中期：成交额倒波幅模型看多。恒生指数上下行收益差模型中性，上下行收益 差相似模型看多。 本周行业指数普遍上涨，涨幅前五的行业为：建材、石油石化、钢铁、有色金 属、基础化工，跌幅前五的行业为：银行、通信、食品饮料、非银行金融、计 算机。从资金流向角度来说，银行、非银行金融、有色金属、煤炭、建材主力 资金净流入居前，电子、通信、计算机、电力设备及新能源、国防军工主力资 金净流出居前。 本周股票型基金总仓位为 94.53%，相较于上周增加了 13 个 b ...

Group 1 - The report emphasizes the construction of a high-dimensional macroeconomic factor system to analyze the impact of macroeconomic variables on asset prices and to predict future trends in broad market indices and industry profitability [2][8][9] - It identifies five dimensions of macroeconomic variables: economic prosperity, inflation, interest rates, inventory, and credit, to improve the stability of macroeconomic assessments [9] Group 2 - Current macroeconomic conditions indicate a weak recovery, with overall indicators dropping from 72% to 61%, and industrial output and GDP growth rates remaining flat [17][19] - The report highlights that while inflation remains low, liquidity conditions are stable, and credit indicators show signs of improvement, suggesting a gradual recovery in financing demand [19][20] Group 3 - A broad market timing strategy based on macroeconomic variables has achieved an annualized return of 16.2% from January 2012 to December 2025, outperforming the industry by 10.26% [3][30] - The dividend index timing strategy has yielded an annualized return of 10.78%, exceeding the industry benchmark by 8.42% during the same period [3][37] Group 4 - The style rotation strategy, constructed from macroeconomic variables, has produced an annualized return of 14.15%, outperforming equal-weighted style indices by 6.08% from September 2014 to December 2025 [3][50] - The report suggests maintaining a balanced allocation between dividend and value stocks, while being cautious with growth and performance stocks due to current macroeconomic conditions [23][60]

- 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]

- The short-term A-share models include the volume model (neutral), low volatility model (neutral), characteristic institutional model (neutral), characteristic volume model (bearish), intelligent CSI 300 model (bullish), and intelligent CSI 500 model (bearish) [1][10][68] - The mid-term A-share models include the limit-up and limit-down model (neutral) and the calendar effect model (neutral) [11][69] - The long-term A-share model is the long-term momentum model, which is neutral for all broad-based indices [12][70] - The comprehensive A-share models include the A-share comprehensive weapon V3 model (bearish) and the A-share comprehensive Guozheng 2000 model (bearish) [13][71] - The mid-term Hong Kong stock model is the turnover amplitude model, which is bullish [14][72] - The backtesting results for the models are as follows: - Volume model: neutral [1][10][68] - Low volatility model: neutral [1][10][68] - Characteristic institutional model: neutral [1][10][68] - Characteristic volume model: bearish [1][10][68] - Intelligent CSI 300 model: bullish [1][10][68] - Intelligent CSI 500 model: bearish [1][10][68] - Limit-up and limit-down model: neutral [11][69] - Calendar effect model: neutral [11][69] - Long-term momentum model: neutral [12][70] - A-share comprehensive weapon V3 model: bearish [13][71] - A-share comprehensive Guozheng 2000 model: bearish [13][71] - Turnover amplitude model: bullish [14][72]