ETF策略指数跟踪周报-20250526

1. Report Industry Investment Rating No relevant content provided. 2. Core View of the Report The report presents several ETF - based strategy indices and tracks their performance and holdings on a weekly basis to help investors make investment decisions by converting quantitative models or subjective views into practical investment strategies [11]. 3. Summary by Related Catalogs 3.1 ETF Strategy Index Tracking - Overall Performance Last Week: - The table shows the performance of different ETF strategy indices last week, including their index returns, benchmark returns, and excess returns. For example, the Huabao Research Size Rotation ETF Strategy Index had a last - week index return of - 0.12%, a benchmark (CSI 800) return of - 0.41%, and an excess return of 0.30% [12]. 3.1.1 Huabao Research Size Rotation ETF Strategy Index - Strategy Principle: It uses multi - dimensional technical indicator factors and a machine - learning model to predict the return difference between the Shenwan Large - Cap Index and the Shenwan Small - Cap Index, and decides positions based on the weekly output signal [3][13]. - Performance: As of May 23, 2025, the excess return since 2024 was 16.48%, the excess return in the past month was - 0.14%, and the excess return in the past week was 0.30%. The index's return in the past week was - 0.12%, compared to - 0.41% of the CSI 800 [3][13][16]. - Position: As of May 23, 2025, it held 100% of the CSI 300 ETF [16]. 3.1.2 Huabao Research SmartBeta Enhanced ETF Strategy Index - Strategy Principle: It uses price - volume indicators to time the self - built Barra factors and maps the timing signals to ETFs according to their exposures on 9 major Barra factors to obtain excess returns [3]. - Performance: As of May 23, 2025, the excess return since 2024 was 18.52%, the excess return in the past month was 0.39%, and the excess return in the past week was 1.29%. The index's return in the past week was 0.88%, compared to - 0.41% of the CSI 800 [3][17]. - Position: As of May 23, 2025, it held 100% of the Dividend Low - Volatility ETF [21]. 3.1.3 Huabao Research Quantitative Fire - Wheel ETF Strategy Index - Strategy Principle: It starts from a multi - factor perspective, including the grasp of medium - and long - term fundamentals, the tracking of short - term market trends, and the analysis of the behavior of various market participants. It uses valuation and crowding signals to prompt industry risks and digs out potential sectors [4]. - Performance: As of May 23, 2025, the excess return since 2024 was 2.95%, the excess return in the past month was 1.33%, and the excess return in the past week was 1.25%. The index's return in the past week was 0.84%, compared to - 0.41% of the CSI 800 [4][21]. - Position: Specific positions are provided in the report, but details are not fully summarized here [24]. 3.1.4 Huabao Research Quantitative Balance - Art ETF Strategy Index - Strategy Principle: It uses a multi - factor system including economic fundamentals, liquidity, technical aspects, and investor behavior to build a quantitative timing system for equity market trend judgment and adjusts the equity market position distribution by predicting the market size - style [4]. - Performance: As of May 23, 2025, the excess return since 2024 was 0.31%, the excess return in the past month was - 1.63%, and the excess return in the past week was 0.10%. The index's return in the past week was - 0.07%, compared to - 0.18% of the SSE 300 [4][24]. - Position: As of May 23, 2025, it held various ETFs such as the CSI 1000ETF, Enhanced 500ETF, etc., with different weights [26]. 3.1.5 Huabao Research Hot - Spot Tracking ETF Strategy Index - Strategy Principle: It tracks and digs out hot - spot index target products through strategies such as market sentiment analysis, industry event tracking, and policy changes to build an ETF portfolio that can capture market hot - spots [5]. - Performance: As of May 23, 2025, the excess return in the past month was 1.07%, and the excess return in the past week was 1.60%. The index's return in the past week was 0.90%, compared to - 0.70% of the CSI All - Share Index [5][29]. - Position: As of May 23, 2025, it held real estate ETF, Hong Kong stock consumption ETF, etc., with different weights [30]. 3.1.6 Huabao Research Bond ETF Duration Strategy Index - Strategy Principle: It uses bond market liquidity and price - volume indicators to select effective timing factors and predicts bond yields through machine learning. When the expected yield is lower than a certain threshold, it reduces the long - duration positions in the bond portfolio [5]. - Performance: As of May 23, 2025, the excess return in the past month was 0.14%, and the excess return in the past week was 0.11%. The index's return in the past week was 0.06%, compared to - 0.05% of the ChinaBond Aggregate Index [5][31]. - Position: As of May 23, 2025, it held short - term financing ETF, 10 - year Treasury bond ETF, etc., with different weights [33].