情绪预期

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盈利、情绪和需求预期:市场信息对宏观量化模型的修正——数说资产配置系列之十一
申万宏源金工· 2025-08-25 08:01
Group 1 - The article discusses a macro quantitative framework that combines economic, liquidity, credit, and inflation factors for asset allocation and industry/style configuration [1][3] - The framework has been adjusted based on the changing mapping of macro variables to assets, with a focus on economic and liquidity indicators [1][5] - The performance of aggressive portfolios since 2013 shows an annualized return of approximately 8.5%, with a 0.6% excess return compared to the benchmark [3][5] Group 2 - The article highlights the impact of macroeconomic conditions on industry and style configurations, incorporating credit sensitivity into the analysis [5][7] - The macro-sensitive industry configuration has shown varying performance, with a notable decline since 2022, indicating the need for adjustments in selection criteria [7][10] - The article emphasizes the importance of market expectations in influencing macroeconomic indicators and their relationship with asset performance [13][18] Group 3 - The Factor Mimicking model is introduced to capture market expectations regarding macro variables, using a refined stock pool for better representation [19][20] - The construction of the Factor Mimicking portfolio aims to reflect the market's implicit views on economic, liquidity, inflation, and credit variables [19][23] - The article discusses the need for additional micro mappings to enhance the representation of macro variables, particularly in relation to corporate earnings and valuations [28][30] Group 4 - The article outlines the adjustments made to the macro variables based on market expectations, focusing on economic, liquidity, and credit dimensions [34][36] - The revised indicators are expected to improve asset allocation strategies, particularly in the context of equity markets [39][40] - The performance of the revised industry and style configurations indicates a positive impact from incorporating market expectations into the analysis [46][54]
金工三维情绪模型更新(20250220):情绪浓度下行市场分化,市场重心或随时重回TMT主线
Caixin Securities· 2025-02-25 11:19
Quantitative Models and Construction Methods - **Model Name**: Three-Dimensional Sentiment Model **Model Construction Idea**: The model observes market sentiment from three perspectives: sentiment expectation, sentiment temperature, and sentiment concentration, corresponding to high-frequency, medium-frequency, and low-frequency sentiment fluctuations respectively [7] **Model Construction Process**: 1. **Sentiment Expectation**: - **Indicator Significance**: Reflects short-term market sentiment through futures and options data. Futures basis rate and the inverse of options PCR (Put-Call Ratio) are used to measure sentiment [6][8] - **Formula**: $ \text{Futures Basis Rate} = \frac{\text{Futures Price} - \text{Spot Price}}{\text{Spot Price}} $ $ \text{Sentiment Expectation Composite Indicator} = \text{Mean Value + Principal Component Analysis} $ - **Evaluation**: Sentiment expectation rising indicates optimistic short-term market sentiment, while a decline suggests cautious sentiment [6][8] 2. **Sentiment Temperature**: - **Indicator Significance**: Quantifies market trading heat and fund activity, focusing on institutional/main funds as the core force. Uses "main fund buy-in rate" smoothed and calculated as a three-year rolling percentile [12] - **Formula**: $ \text{Main Fund Buy-in Rate} = \frac{\text{Large Buy-in Amount}}{\text{Total Market Turnover}} $ - **Evaluation**: Sentiment temperature rising indicates increased fund activity, while a decline suggests cooling sentiment [12] 3. **Sentiment Concentration**: - **Indicator Significance**: Measures the correlation of multi-assets in the A-share market. Uses the first principal component variance contribution rate of the CITIC three-level industry system index, smoothed with a rolling window [16] - **Evaluation**: Higher sentiment concentration indicates increased asset correlation, suggesting stronger emotional influence on the market. Extreme values above the warning line (0.83) may signal long-term market turning points [16] Model Backtesting Results - **Sentiment Expectation**: Current value as of February 20, 2025: 0.7696, up 31.02% from the previous week [9][22] - **Sentiment Temperature**: Current value as of February 20, 2025: 0.6952, up 4.43% from the previous week [13][22] - **Sentiment Concentration**: Current value as of February 20, 2025: 0.6884, down 2.17% from the previous week [18][22]