美国财政部的数据很直白，2025年Q3末，国库账户还有约6700亿美元现金，社保和医疗这类大项支出照旧——"我们都在看TGA余额，没跌破警戒线，没人 慌。"一位基金经理小吴边喝咖啡边说，"只要不闹到极端，大家都当作假期。" 不过有意思的细节在于，负责政府采购的某小公司老板发朋友圈：本月账期延后，现金流紧张，晚上请客吃饭都改约下月了。金融圈的分析师们倒是提前准 备了"剧本"：如果停摆拖过两周，预计GDP影响0.18%，但没人会真关心小数点后第二位——这像极了炒股APP里的"风险提示"，总有人跳出来提醒，但大 多数人滑着手机继续看短视频。 换个角度，2025年10月2日，美联储的逆回购数据还在刷屏，市场流动性像提前准备好的备用粮仓，没到断粮的地步。隔壁银行的理财顾问张姐私下说："客 户问我会不会爆雷，我说你看美国国债利率，没涨，别自己吓自己。"她边说边把客户微信拉入群，群名叫"稳健投资不焦虑"，气氛比网购砍价群还佛系。 2025年10月1日凌晨三点，华盛顿市中心的路灯还亮着，国会山前的雕像像往常一样冷漠地盯着夜色，街边有外卖员在等订单，手机屏幕反射着蓝光，有人 刷到新闻说政府又关门了，评论区一片吐槽——"这都第几 ...

Quantitative Models and Construction Methods - **Model Name**: Volume Model **Construction Idea**: This model evaluates market trends based on trading volume dynamics[1][11][62] **Construction Process**: The model uses trading volume data across broad-based indices to generate neutral signals for short-term market timing[11][62] - **Model Name**: Low Volatility Model **Construction Idea**: This model assesses market trends by analyzing low-volatility characteristics[1][11][62] **Construction Process**: The model evaluates the volatility of broad-based indices and generates neutral signals for short-term market timing[11][62] - **Model Name**: Institutional Feature Model (LHB) **Construction Idea**: This model leverages institutional trading data from the "Dragon and Tiger List" to predict market trends[1][11][62] **Construction Process**: The model analyzes institutional trading patterns and generates bullish signals for short-term market timing[11][62] - **Model Name**: Feature Volume Model **Construction Idea**: This model uses specific volume characteristics to predict market trends[1][11][62] **Construction Process**: The model evaluates unique volume features and generates bearish signals for short-term market timing[11][62] - **Model Name**: Intelligent Algorithm Model (CSI 300 and CSI 500) **Construction Idea**: This model applies machine learning algorithms to predict market trends for specific indices[1][11][62] **Construction Process**: The model generates bearish signals for both CSI 300 and CSI 500 indices based on algorithmic predictions[11][62] - **Model Name**: Limit-Up/Down Model **Construction Idea**: This model evaluates market trends by analyzing the frequency of limit-up and limit-down events[1][12][63] **Construction Process**: The model generates neutral signals for mid-term market timing based on historical limit-up/down data[12][63] - **Model Name**: Calendar Effect Model **Construction Idea**: This model incorporates seasonal and calendar-based effects to predict market trends[1][12][63] **Construction Process**: The model generates neutral signals for mid-term market timing based on calendar patterns[12][63] - **Model Name**: Long-Term Momentum Model **Construction Idea**: This model evaluates long-term market trends using momentum indicators[1][13][64] **Construction Process**: The model generates bullish signals for long-term market timing based on momentum analysis[13][64] - **Model Name**: A-Share Comprehensive Weapon V3 Model **Construction Idea**: This composite model integrates multiple signals to provide a comprehensive market outlook[1][14][65] **Construction Process**: The model generates bearish signals for A-shares by combining various short, mid, and long-term indicators[14][65] - **Model Name**: A-Share Comprehensive Guozheng 2000 Model **Construction Idea**: This composite model focuses on the Guozheng 2000 index using integrated signals[1][14][65] **Construction Process**: The model generates bearish signals for the Guozheng 2000 index by combining multiple indicators[14][65] - **Model Name**: Turnover-to-Amplitude Model (Hong Kong Market) **Construction Idea**: This model evaluates the Hong Kong market by analyzing turnover relative to price amplitude[1][15][66] **Construction Process**: The model generates bullish signals for mid-term market timing in the Hong Kong market[15][66] Model Backtesting Results - **Volume Model**: Neutral signals for all broad-based indices[11][62] - **Low Volatility Model**: Neutral signals for all broad-based indices[11][62] - **Institutional Feature Model (LHB)**: Bullish signals for short-term market timing[11][62] - **Feature Volume Model**: Bearish signals for short-term market timing[11][62] - **Intelligent Algorithm Model (CSI 300 and CSI 500)**: Bearish signals for both indices[11][62] - **Limit-Up/Down Model**: Neutral signals for mid-term market timing[12][63] - **Calendar Effect Model**: Neutral signals for mid-term market timing[12][63] - **Long-Term Momentum Model**: Bullish signals for long-term market timing[13][64] - **A-Share Comprehensive Weapon V3 Model**: Bearish signals for A-shares[14][65] - **A-Share Comprehensive Guozheng 2000 Model**: Bearish signals for the Guozheng 2000 index[14][65] - **Turnover-to-Amplitude Model (Hong Kong Market)**: Bullish signals for mid-term market timing[15][66]

Quantitative Models and Construction Methods 1. Model Name: Volume Model - **Construction Idea**: The model uses trading volume data to predict market trends. - **Construction Process**: The model analyzes the trading volume of various broad-based indices to determine market sentiment. It categorizes the indices as neutral based on the volume data. - **Evaluation**: The model is considered neutral for all broad-based indices in the short term.[2][11] 2. Model Name: Low Volatility Model - **Construction Idea**: This model uses the volatility of stock prices to predict market trends. - **Construction Process**: The model evaluates the volatility of stock prices and categorizes the indices as neutral. - **Evaluation**: The model is considered neutral in the short term.[2][11] 3. Model Name: Institutional Feature Model - **Construction Idea**: This model uses institutional trading data from the "Dragon and Tiger List" to predict market trends. - **Construction Process**: The model analyzes the trading behavior of institutions listed on the "Dragon and Tiger List" and categorizes the indices as bullish. - **Evaluation**: The model is considered bullish in the short term.[2][11] 4. Model Name: Feature Volume Model - **Construction Idea**: This model uses specific volume features to predict market trends. - **Construction Process**: The model analyzes specific volume features and categorizes the indices as bearish. - **Evaluation**: The model is considered bearish in the short term.[2][11] 5. Model Name: Smart Algorithm Model (CSI 300) - **Construction Idea**: This model uses smart algorithms to predict market trends for the CSI 300 index. - **Construction Process**: The model applies smart algorithms to the CSI 300 index and categorizes it as neutral. - **Evaluation**: The model is considered neutral in the short term.[2][11] 6. Model Name: Smart Algorithm Model (CSI 500) - **Construction Idea**: This model uses smart algorithms to predict market trends for the CSI 500 index. - **Construction Process**: The model applies smart algorithms to the CSI 500 index and categorizes it as bearish. - **Evaluation**: The model is considered bearish in the short term.[2][11] 7. Model Name: Limit Up/Down Model - **Construction Idea**: This model uses the occurrence of limit up and limit down events to predict market trends. - **Construction Process**: The model analyzes the frequency of limit up and limit down events and categorizes the indices as neutral. - **Evaluation**: The model is considered neutral in the medium term.[2][12] 8. Model Name: Calendar Effect Model - **Construction Idea**: This model uses calendar effects to predict market trends. - **Construction Process**: The model analyzes historical calendar effects and categorizes the indices as neutral. - **Evaluation**: The model is considered neutral in the medium term.[2][12] 9. Model Name: Long-term Momentum Model - **Construction Idea**: This model uses long-term momentum to predict market trends. - **Construction Process**: The model analyzes long-term momentum indicators and categorizes the indices as bullish. - **Evaluation**: The model is considered bullish in the long term.[2][13] 10. Model Name: Comprehensive Weapon V3 Model - **Construction Idea**: This model combines multiple factors to predict market trends. - **Construction Process**: The model integrates various factors and categorizes the indices as bearish. - **Evaluation**: The model is considered bearish in the long term.[2][14] 11. Model Name: Comprehensive National Certificate 2000 Model - **Construction Idea**: This model combines multiple factors to predict market trends for the National Certificate 2000 index. - **Construction Process**: The model integrates various factors and categorizes the indices as bearish. - **Evaluation**: The model is considered bearish in the long term.[2][14] 12. Model Name: Turnover Inverse Amplitude Model - **Construction Idea**: This model uses the inverse amplitude of turnover to predict market trends. - **Construction Process**: The model analyzes the inverse amplitude of turnover and categorizes the indices as bullish. - **Evaluation**: The model is considered bullish in the medium term.[2][15] Model Backtest Results - **Volume Model**: Neutral for all broad-based indices in the short term.[2][11] - **Low Volatility Model**: Neutral in the short term.[2][11] - **Institutional Feature Model**: Bullish in the short term.[2][11] - **Feature Volume Model**: Bearish in the short term.[2][11] - **Smart Algorithm Model (CSI 300)**: Neutral in the short term.[2][11] - **Smart Algorithm Model (CSI 500)**: Bearish in the short term.[2][11] - **Limit Up/Down Model**: Neutral in the medium term.[2][12] - **Calendar Effect Model**: Neutral in the medium term.[2][12] - **Long-term Momentum Model**: Bullish in the long term.[2][13] - **Comprehensive Weapon V3 Model**: Bearish in the long term.[2][14] - **Comprehensive National Certificate 2000 Model**: Bearish in the long term.[2][14] - **Turnover Inverse Amplitude Model**: Bullish in the medium term.[2][15]

Quantitative Models and Construction Methods - **Model Name**: Dividend Adjustment for Futures Basis **Construction Idea**: Adjust the futures basis by incorporating the expected dividend impact during the contract's lifespan[9][21] **Construction Process**: Futures basis is calculated as the difference between the futures contract closing price and the underlying index closing price. The adjustment accounts for dividends expected during the contract's lifespan, which are reflected in the futures price. The formula is: $ Annualized Basis = (Actual Basis + Expected Dividend Points) / Index Price × 360 / Remaining Days of Contract $[21] **Evaluation**: Provides a more accurate representation of the futures basis by accounting for dividend effects[21] - **Model Name**: Continuous Hedging Strategy **Construction Idea**: Optimize hedging by continuously rolling futures contracts based on expiration dates[44][45] **Construction Process**: - Hold the corresponding total return index for the spot side - Use 70% of funds for the spot side and 30% for shorting futures contracts - Roll futures contracts when the remaining days to expiration are less than 2 days, using the closing price for both closing and opening positions[45] **Evaluation**: Effective for maintaining consistent exposure but sensitive to transaction costs and market conditions[45] - **Model Name**: Minimum Basis Hedging Strategy **Construction Idea**: Select futures contracts with the smallest annualized basis for hedging[46] **Construction Process**: - Calculate the annualized basis for all available futures contracts - Open positions in the contract with the smallest basis - Hold the contract for 8 trading days or until the remaining days to expiration are less than 2 days[46] **Evaluation**: Reduces basis risk but requires frequent monitoring and adjustments[46] Quantitative Factors and Construction Methods - **Factor Name**: Cinda-VIX **Construction Idea**: Reflect market expectations of future volatility using a modified VIX calculation tailored to China's market[62] **Construction Process**: - Based on overseas VIX methodologies, adjusted for China's market conditions - Incorporates the term structure of volatility to capture expectations across different time horizons[62] **Evaluation**: Provides valuable insights into market sentiment and volatility expectations[62] - **Factor Name**: Cinda-SKEW **Construction Idea**: Measure the skewness in implied volatility across different strike prices to assess tail risk[67] **Construction Process**: - Analyze the implied volatility of options with varying strike prices - Higher SKEW values indicate increased tail risk expectations, while lower values suggest reduced concerns[67] **Evaluation**: Useful for understanding market sentiment regarding extreme events and tail risks[67] Model Backtesting Results - **Dividend Adjustment for Futures Basis**: - IC contract: Current basis -5.89%[22] - IF contract: Current basis -0.05%[27] - IH contract: Current basis +1.70%[32] - IM contract: Current basis -6.92%[37] - **Continuous Hedging Strategy**: - IC: Annualized return -3.07%, volatility 3.82%, max drawdown -9.27%, net value 0.9086[48] - IF: Annualized return 0.38%, volatility 2.97%, max drawdown -3.95%, net value 1.0116[53] - IH: Annualized return 0.97%, volatility 3.08%, max drawdown -4.22%, net value 1.0302[57] - IM: Annualized return -6.21%, volatility 4.72%, max drawdown -14.01%, net value 0.8345[59] - **Minimum Basis Hedging Strategy**: - IC: Annualized return -1.40%, volatility 4.60%, max drawdown -7.97%, net value 0.9577[48] - IF: Annualized return 1.18%, volatility 3.10%, max drawdown -4.06%, net value 1.0366[53] - IH: Annualized return 1.63%, volatility 3.09%, max drawdown -3.91%, net value 1.0511[57] - IM: Annualized return -4.04%, volatility 5.55%, max drawdown -11.11%, net value 0.8702[59] Factor Backtesting Results - **Cinda-VIX**: - 30-day volatility: - CSI 500: 32.58[62] - CSI 1000: 29.50[62] - HS 300: 22.97[62] - SSE 50: 24.31[62] - **Cinda-SKEW**: - 30-day skewness: - CSI 500: 98.22[68] - CSI 1000: 106.46[68] - HS 300: 104.77[68] - SSE 50: 99.82[68]

Group 1 - The VIX index incorporates three major risk events: the Federal Reserve FOMC meeting, non-farm payroll data, and tariff deadlines [1]

Core Viewpoint - The VIX index will now incorporate three major risk events: the Federal Reserve FOMC meetings, non-farm payroll data, and tariff deadlines [1] Group 1 - The inclusion of the Federal Reserve FOMC meetings is expected to enhance the predictive power of the VIX index [1] - Non-farm payroll data will provide insights into employment trends, which are crucial for market stability [1] - Tariff deadlines will reflect trade tensions and their potential impact on market volatility [1]

Quantitative Models and Construction 1. Model Name: Volume Model - **Construction Idea**: This model uses trading volume data to predict short-term market trends[2][11] - **Construction Process**: The model evaluates trading volume changes across broad-based indices to generate buy or neutral signals. Specific thresholds or patterns in volume are used to determine the directional bias[11] - **Evaluation**: The model is partially optimistic for broad-based indices in the short term[11][66] 2. Model Name: Low Volatility Model - **Construction Idea**: This model focuses on the volatility of asset prices to assess market conditions[11] - **Construction Process**: The model calculates the historical volatility of indices and assigns a neutral signal when volatility remains within a predefined range[11] - **Evaluation**: The model is neutral for the short term[11][66] 3. Model Name: Institutional Feature Model (LHB) - **Construction Idea**: This model incorporates institutional trading data, such as large trades or block trades, to predict market movements[11] - **Construction Process**: The model analyzes institutional trading patterns, such as those from the "Dragon and Tiger List" (龙虎榜), to generate signals. A bearish signal is issued when institutional selling dominates[11] - **Evaluation**: The model is bearish for the short term[11][66] 4. Model Name: Intelligent Algorithm Models (HS300 and CSI500) - **Construction Idea**: These models use machine learning algorithms to analyze historical data and predict market trends[11] - **Construction Process**: The HS300 model generates a bullish signal for the CSI 300 index, while the CSI500 model remains neutral. The models likely use features such as price momentum, volume, and other technical indicators[11] - **Evaluation**: The HS300 model is optimistic, while the CSI500 model is neutral in the short term[11][66] 5. Model Name: Limit-Up/Limit-Down Model - **Construction Idea**: This model evaluates the frequency and distribution of limit-up and limit-down events to assess market sentiment[12] - **Construction Process**: The model calculates the ratio of stocks hitting daily price limits and assigns a neutral signal when no significant bias is observed[12] - **Evaluation**: The model is neutral for the medium term[12][67] 6. Model Name: Calendar Effect Model - **Construction Idea**: This model leverages seasonal or calendar-based patterns in market behavior[12] - **Construction Process**: The model analyzes historical performance around specific calendar dates (e.g., month-end or quarter-end) to generate signals. It remains neutral when no strong seasonal patterns are detected[12] - **Evaluation**: The model is neutral for the medium term[12][67] 7. Model Name: Long-Term Momentum Model - **Construction Idea**: This model uses long-term price momentum to predict market trends[13] - **Construction Process**: The model calculates momentum indicators over extended periods and assigns a neutral signal when no clear trend is identified[13] - **Evaluation**: The model is neutral for all broad-based indices in the long term[13][68] 8. Model Name: Comprehensive Weaponry V3 Model - **Construction Idea**: This composite model integrates multiple short-term, medium-term, and long-term signals to provide an overall market outlook[14] - **Construction Process**: The model aggregates signals from various sub-models (e.g., volume, volatility, momentum) and generates a bullish signal for the A-share market[14] - **Evaluation**: The model is optimistic for the A-share market[14][69] 9. Model Name: Comprehensive Guozheng 2000 Model - **Construction Idea**: This model focuses on the Guozheng 2000 index, combining multiple signals to assess market conditions[14] - **Construction Process**: Similar to the Weaponry V3 model, this model aggregates signals but remains neutral for the Guozheng 2000 index[14] - **Evaluation**: The model is neutral for the Guozheng 2000 index[14][69] 10. Model Name: Turnover-to-Volatility Model (Hong Kong Market) - **Construction Idea**: This model evaluates the ratio of turnover to price volatility to predict market trends in the Hong Kong market[15] - **Construction Process**: The model calculates the turnover-to-volatility ratio and generates a bullish signal when the ratio indicates strong market activity relative to volatility[15] - **Evaluation**: The model is optimistic for the medium term in the Hong Kong market[15][70] --- Backtesting Results of Models 1. Volume Model - **Signal**: Partially bullish for broad-based indices in the short term[11][66] 2. Low Volatility Model - **Signal**: Neutral for the short term[11][66] 3. Institutional Feature Model (LHB) - **Signal**: Bearish for the short term[11][66] 4. Intelligent Algorithm Models (HS300 and CSI500) - **Signal**: Bullish for HS300; neutral for CSI500 in the short term[11][66] 5. Limit-Up/Limit-Down Model - **Signal**: Neutral for the medium term[12][67] 6. Calendar Effect Model - **Signal**: Neutral for the medium term[12][67] 7. Long-Term Momentum Model - **Signal**: Neutral for all broad-based indices in the long term[13][68] 8. Comprehensive Weaponry V3 Model - **Signal**: Bullish for the A-share market[14][69] 9. Comprehensive Guozheng 2000 Model - **Signal**: Neutral for the Guozheng 2000 index[14][69] 10. Turnover-to-Volatility Model (Hong Kong Market) - **Signal**: Bullish for the medium term in the Hong Kong market[15][70]

- Model Name: Continuous Hedging Strategy; Model Construction Idea: The strategy is based on the analysis of basis convergence factors and optimization strategies; Model Construction Process: The strategy involves holding the corresponding total return index on the spot side and shorting the corresponding stock index futures contracts on the futures side, with specific parameters and settings for backtesting, including the backtesting period, spot side, futures side, and rebalancing rules[44][45] - Model Name: Minimum Discount Strategy; Model Construction Idea: The strategy selects the futures contract with the smallest annualized basis discount for opening positions; Model Construction Process: The strategy involves holding the corresponding total return index on the spot side and shorting the corresponding stock index futures contracts on the futures side, with specific parameters and settings for backtesting, including the backtesting period, spot side, futures side, and rebalancing rules[44][46] - Factor Name: Cinda-VIX; Factor Construction Idea: The factor reflects the market's expectation of future volatility of the underlying asset; Factor Construction Process: The factor is based on the methodology from the research report series "Exploring Market Sentiment Implied in the Options Market" and reflects the volatility expectations of investors in the options market for different periods[62] - Factor Name: Cinda-SKEW; Factor Construction Idea: The factor captures the skewness of implied volatility (IV) of options with different strike prices; Factor Construction Process: The factor measures the degree of skewness in volatility, providing insights into market expectations of future returns distribution of the underlying asset[70][71] - Continuous Hedging Strategy, Annualized Return: -2.73% (monthly), -1.93% (quarterly), -0.95% (minimum discount); Volatility: 3.88% (monthly), 4.77% (quarterly), 4.68% (minimum discount); Maximum Drawdown: -8.15% (monthly), -8.34% (quarterly), -7.97% (minimum discount); Net Value: 0.9221 (monthly), 0.9446 (quarterly), 0.9725 (minimum discount); Annual Turnover: 12 (monthly), 4 (quarterly), 17.40 (minimum discount); 2025 YTD Return: -3.24% (monthly), -0.94% (quarterly), -0.63% (minimum discount)[48] - Continuous Hedging Strategy, Annualized Return: 0.54% (monthly), 0.80% (quarterly), 1.37% (minimum discount); Volatility: 3.02% (monthly), 3.36% (quarterly), 3.15% (minimum discount); Maximum Drawdown: -3.95% (monthly), -4.03% (quarterly), -4.06% (minimum discount); Net Value: 1.0159 (monthly), 1.0237 (quarterly), 1.0406 (minimum discount); Annual Turnover: 12 (monthly), 4 (quarterly), 15.36 (minimum discount); 2025 YTD Return: -0.75% (monthly), 0.39% (quarterly), 0.70% (minimum discount)[53] - Continuous Hedging Strategy, Annualized Return: 1.07% (monthly), 2.04% (quarterly), 1.76% (minimum discount); Volatility: 3.13% (monthly), 3.56% (quarterly), 3.15% (minimum discount); Maximum Drawdown: -4.22% (monthly), -3.75% (quarterly), -3.91% (minimum discount); Net Value: 1.0316 (monthly), 1.0609 (quarterly), 1.0526 (minimum discount); Annual Turnover: 12 (monthly), 4 (quarterly), 16.04 (minimum discount); 2025 YTD Return: 0.08% (monthly), 1.15% (quarterly), 1.14% (minimum discount)[57] - Continuous Hedging Strategy, Annualized Return: -5.96% (monthly), -4.33% (quarterly), -3.76% (minimum discount); Volatility: 4.74% (monthly), 5.79% (quarterly), 5.60% (minimum discount); Maximum Drawdown: -14.00% (monthly), -12.63% (quarterly), -11.11% (minimum discount); Net Value: 0.8521 (monthly), 0.8849 (quarterly), 0.9009 (minimum discount); Annual Turnover: 12 (monthly), 4 (quarterly), 15.96 (minimum discount); 2025 YTD Return: -8.68% (monthly), -3.91% (quarterly), -3.47% (minimum discount)[59] - Cinda-VIX, 30-day VIX values: 17.29 (SSE 50), 15.95 (CSI 300), 23.13 (CSI 500), 21.70 (CSI 1000)[62] - Cinda-SKEW, 30-day SKEW values: 100.62 (SSE 50), 101.40 (CSI 300), 96.04 (CSI 500), 102.73 (CSI 1000)[71]

- The report introduces the dividend forecast for stock index futures contracts during their duration, predicting dividend points for CSI 500, CSI 300, SSE 50, and CSI 1000 indices as 73.53, 68.56, 52.96, and 65.86 respectively[9][11][16] - The dividend-adjusted annualized basis calculation is explained as: Annualized Basis = (Actual Basis + (Expected) Dividend Points) / Index Price × 360 / Remaining Days of Contract[20] - CSI 500 futures contract IC2507 predicts dividend points of 20.73, IC2509 predicts 30.13, and IC2512 predicts 30.13, with a dividend ratio of 0.53% during the next season contract duration[9] - CSI 300 futures contract IF2507 predicts dividend points of 34.94, IF2509 predicts 48.09, and IF2512 predicts 48.4, with a dividend ratio of 1.26% during the next season contract duration[11] - SSE 50 futures contract IH2507 predicts dividend points of 40.11, IH2509 predicts 44.54, and IH2512 predicts 44.97, with a dividend ratio of 1.68% during the next season contract duration[16] - CSI 1000 futures contract IM2507 predicts dividend points of 18.42, IM2509 predicts 22.63, and IM2512 predicts 22.73, with a dividend ratio of 0.38% during the next season contract duration[18] - CSI 500 futures contract IC's dividend-adjusted annualized basis rose to -8.70% from a weekly low of -9.76%[21] - CSI 300 futures contract IF's dividend-adjusted annualized basis fell to -2.54% from a weekly high of -1.77%[27] - SSE 50 futures contract IH's dividend-adjusted annualized basis rose to 0.91% from a weekly low of 0.40%[33] - CSI 1000 futures contract IM's dividend-adjusted annualized basis rose to -12.34% from a weekly low of -14.89%[40] - The continuous hedging strategy and minimum basis strategy are introduced, with parameters including holding corresponding total return indices for the spot side and shorting futures contracts with equal nominal principal for the hedging side[45][46][47] - CSI 500 futures hedging strategy results: Annualized returns for monthly continuous hedging, seasonal continuous hedging, and minimum basis strategy are -2.75%, -1.97%, and -0.95% respectively, with volatility of 3.89%, 4.78%, and 4.70%[48] - CSI 300 futures hedging strategy results: Annualized returns for monthly continuous hedging, seasonal continuous hedging, and minimum basis strategy are 0.60%, 0.88%, and 1.44% respectively, with volatility of 3.03%, 3.38%, and 3.17%[50][54] - SSE 50 futures hedging strategy results: Annualized returns for monthly continuous hedging, seasonal continuous hedging, and minimum basis strategy are 1.10%, 2.04%, and 1.76% respectively, with volatility of 3.15%, 3.58%, and 3.16%[55][58] - CSI 1000 futures hedging strategy results: Annualized returns for monthly continuous hedging, seasonal continuous hedging, and minimum basis strategy are -5.99%, -4.36%, and -3.68% respectively, with volatility of 4.74%, 5.78%, and 5.60%[59][60] - Cinda-VIX index reflects market volatility expectations, with 30-day VIX values for SSE 50, CSI 300, CSI 500, and CSI 1000 indices at 16.54, 17.01, 25.03, and 22.92 respectively[63][65] - Cinda-SKEW index captures implied volatility skew characteristics, with values for SSE 50, CSI 300, CSI 500, and CSI 1000 indices at 101.73, 106.09, 97.81, and 105.04 respectively[72][75]

Quantitative Models and Construction 1. Model Name: Volume Model - **Model Construction Idea**: This model evaluates market timing based on trading volume dynamics[10][64] - **Model Evaluation**: The model currently signals a neutral stance for the short term[10][64] 2. Model Name: Low Volatility Model - **Model Construction Idea**: This model assesses market timing by analyzing low volatility trends in the market[10][64] - **Model Evaluation**: The model currently signals a neutral stance for the short term[10][64] 3. Model Name: Institutional Feature Model (Dragon-Tiger List) - **Model Construction Idea**: This model uses institutional trading features from the Dragon-Tiger list to predict market movements[10][64] - **Model Evaluation**: The model currently signals a bearish outlook for the short term[10][64] 4. Model Name: Feature Volume Model - **Model Construction Idea**: This model leverages specific volume features to predict market trends[10][64] - **Model Evaluation**: The model currently signals a bearish outlook for the short term[10][64] 5. Model Name: Intelligent CSI 300 Model - **Model Construction Idea**: This model applies intelligent algorithms to predict movements in the CSI 300 index[10][64] - **Model Evaluation**: The model currently signals a bullish outlook for the short term[10][64] 6. Model Name: Intelligent CSI 500 Model - **Model Construction Idea**: This model applies intelligent algorithms to predict movements in the CSI 500 index[10][64] - **Model Evaluation**: The model currently signals a bearish outlook for the short term[10][64] 7. Model Name: Limit-Up/Down Model - **Model Construction Idea**: This model evaluates market timing based on the frequency of limit-up and limit-down events[11][65] - **Model Evaluation**: The model currently signals a bullish outlook for the mid-term[11][65] 8. Model Name: Calendar Effect Model - **Model Construction Idea**: This model incorporates calendar-based patterns to predict market movements[11][65] - **Model Evaluation**: The model currently signals a neutral stance for the mid-term[11][65] 9. Model Name: Long-Term Momentum Model - **Model Construction Idea**: This model evaluates long-term market trends using momentum indicators[12][66] - **Model Evaluation**: The model currently signals a neutral stance across all broad-based indices for the long term[12][66] 10. Model Name: A-Share Comprehensive Weapon V3 Model - **Model Construction Idea**: This model integrates multiple signals to provide a comprehensive market timing prediction[13][67] - **Model Evaluation**: The model currently signals a bearish outlook for the A-share market[13][67] 11. Model Name: A-Share Comprehensive CSI 2000 Model - **Model Construction Idea**: This model focuses on the CSI 2000 index, combining various timing signals[13][67] - **Model Evaluation**: The model currently signals a neutral stance for the A-share market[13][67] 12. Model Name: Turnover-to-Volatility Model (Hong Kong Market) - **Model Construction Idea**: This model evaluates market timing in the Hong Kong market by analyzing turnover relative to volatility[14][68] - **Model Evaluation**: The model currently signals a bullish outlook for the mid-term[14][68] --- Model Backtesting Results 1. Volume Model - **Short-Term Signal**: Neutral[10][64] 2. Low Volatility Model - **Short-Term Signal**: Neutral[10][64] 3. Institutional Feature Model (Dragon-Tiger List) - **Short-Term Signal**: Bearish[10][64] 4. Feature Volume Model - **Short-Term Signal**: Bearish[10][64] 5. Intelligent CSI 300 Model - **Short-Term Signal**: Bullish[10][64] 6. Intelligent CSI 500 Model - **Short-Term Signal**: Bearish[10][64] 7. Limit-Up/Down Model - **Mid-Term Signal**: Bullish[11][65] 8. Calendar Effect Model - **Mid-Term Signal**: Neutral[11][65] 9. Long-Term Momentum Model - **Long-Term Signal**: Neutral across all broad-based indices[12][66] 10. A-Share Comprehensive Weapon V3 Model - **Comprehensive Signal**: Bearish[13][67] 11. A-Share Comprehensive CSI 2000 Model - **Comprehensive Signal**: Neutral[13][67] 12. Turnover-to-Volatility Model (Hong Kong Market) - **Mid-Term Signal**: Bullish[14][68]