趋势跟踪模型

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美容护理指数趋势跟踪模型效果点评
Tai Ping Yang Zheng Quan· 2025-05-21 15:15
[Table_Title] 美容护理指数趋势跟踪模型效果点评 [Table_Author] 证券分析师:刘晓锋 电话:13401163428 E-MAIL:liuxf@tpyzq.com 执业资格证书编码:S1190522090001 研究助理:孙弋轩 金 金融工程点评 电话:18910596766 E-MAIL:sunyixuan@tpyzq.com 一般证券业务登记编码:S1190123080008 模型概述 结果评估: 区间年化收益:-1.22% 波动率(年化):30.79% 夏普率:-0.04 最大回撤:39.17% 指数期间总回报率:-33.91% [Table_Message]2025-05-21 太 平 洋 证 券 股 份 有 限 公 司 证 券 研 究 报 告 [Table_Summary] 资料来源:Wind,太平洋研究院 资源来源:Wind,太平洋研究院 图表 3 回撤(绝对值) 图表 4 最大回撤(绝对值) 0.00% 5.00% 10.00% 15.00% 20.00% 25.00% 30.00% 35.00% 40.00% 45.00% 2023-03-07 2023-04-13 2 ...
石油石化指数趋势跟踪模型效果点评
Tai Ping Yang Zheng Quan· 2025-05-20 13:42
Quantitative Models and Construction Methods - **Model Name**: Oil and Petrochemical Index Trend Tracking Model - **Model Construction Idea**: The model assumes that the price movement of the target has strong local continuity, where prices are always in a certain trend. Reversal periods are significantly shorter than trend continuation periods. In cases of narrow consolidation, the model assumes the continuation of the previous trend. For large-scale trends, a short observation window is used to capture the local trend. When a reversal occurs, the price change at the start and end of the observation window will exceed the range caused by random fluctuations, thus filtering out random noise[3][4] - **Model Construction Process**: 1. Calculate the difference between the closing price on day T and day T-20, denoted as `del` 2. Calculate the volatility (`Vol`) over the period from T-20 to T (excluding T) 3. If the absolute value of `del` exceeds N times `Vol`, the current price is considered to have broken out of the original oscillation range, forming a trend. The trend direction (long or short) corresponds to the sign of `del` 4. If the absolute value of `del` is less than or equal to N times `Vol`, the current trend is considered to continue, and the trend direction remains the same as on day T-1 5. For the stock market, where volatility is higher and small wave opportunities are more frequent, N is set to 1 for tracking 6. The model considers both long and short returns for the oil and petrochemical index, combining the results for final evaluation[3] - **Model Evaluation**: The model's net value showed a consistent downward trend, with significant drawdowns during specific periods. It is deemed unsuitable for direct application to the Shenwan Level-1 Oil and Petrochemical Index[4] Model Backtesting Results - **Annualized Return**: -24.35%[3] - **Annualized Volatility**: 19.77%[3] - **Sharpe Ratio**: -1.23[3] - **Maximum Drawdown**: 44.48%[3] - **Total Return of the Index During the Period**: -6.61%[3]
金融工程点评:国防军工指数趋势跟踪模型效果点评
Tai Ping Yang· 2025-05-14 07:20
Investment Rating - The industry rating is "Neutral," indicating that the overall return is expected to be between -5% and 5% relative to the CSI 300 index over the next six months [12]. Core Insights - The model used for evaluating the defense and military industry assumes that price trends exhibit good local continuity, with reversals occurring less frequently than trend continuations. The model aims to identify trends based on price movements and volatility [4][5]. - The evaluation period for the model is from March 7, 2023, to March 18, 2025, with a focus on the Shenwan Level 1 Defense and Military Industry Index [4]. - The model's annualized return is -0.37%, with a volatility of 29.80% and a maximum drawdown of 29.79%. The total return during the evaluation period is -3.81% [4][5]. Summary by Sections Model Overview - The model is designed to track price movements and identify trends based on historical data, with specific algorithms to determine when a price has deviated from its previous range [4]. Results Assessment - The model experienced a decline in net value during specific periods, indicating a long-term drawdown and an inability to achieve favorable cumulative returns. The model is deemed unsuitable for direct application to the Shenwan Level 1 Defense and Military Industry Index due to negative returns [5]. Performance Metrics - The model's performance metrics include an annualized return of -0.37%, a volatility of 29.80%, a Sharpe ratio of -0.01, and a maximum drawdown of 29.79% [4].
申万一级电子指数趋势跟踪模型效果点评
Tai Ping Yang Zheng Quan· 2025-03-27 14:11
申万一级电子指数趋势跟踪模型效果点评 [Table_Title] 金 金融工程点评 [Table_Message]2025-03-27 结果评估: 区间年化收益:-5.48% 波动率(年化):32.72% 夏普率:-0.17 最大回撤:38.97% 指数期间总回报率:31.87 % 太 平 洋 证 券 股 份 有 限 公 司 证 券 研 究 报 告 融 工 程 点 评 [Table_Author] 证券分析师:刘晓锋 电话:13401163428 E-MAIL:liuxf@tpyzq.com 执业资格证书编码:S1190522090001 研究助理:孙弋轩 电话:18910596766 E-MAIL:sunyixuan@tpyzq.com 一般证券业务登记编码:S1190123080008 模型概述 [Table_Summary] 图表 1 净值 图表 2 历史高点 0 0.2 0.4 0.6 0.8 1 1.2 1.4 2023-03-07 2023-04-12 2023-05-22 2023-06-28 2023-08-02 2023-09-06 2023-10-19 2023-11-23 2023-12 ...