Group 1 - The core idea of the article is to enhance the performance of the Shenwan Jinong Growth Portfolio by integrating an industry rotation model, aiming to improve the portfolio's return elasticity while maintaining the original stock selection logic [3][12][39] - The Shenwan Jinong Growth Portfolio is constructed based on predictions of high earnings growth for listed companies, utilizing analyst consensus data to filter stocks with the highest earnings growth forecasts [4][6] - The portfolio has demonstrated strong historical performance, achieving median net profit growth rates that place it within the top 10% to 20% of the market [6][9] Group 2 - The article discusses the implementation of a non-linear weighting adjustment to enhance the portfolio's return elasticity, moving away from a linear weighting approach that showed limited impact on returns [19][20] - After applying the non-linear weighting, the portfolio's returns improved significantly, with notable increases in annual returns for the years 2020 and 2021, both exceeding 60% [32][35] - The adjusted portfolio maintained a similar level of volatility and maximum drawdown compared to the equal-weighted portfolio, indicating that the return enhancement was not achieved at the expense of stability [33][35] Group 3 - The article provides a detailed comparison of the performance metrics between the tilted and equal-weighted portfolios, showing that the tilted portfolio achieved a total return of 603.40% compared to 382.35% for the equal-weighted portfolio [35] - The maximum weight of individual stocks in the tilted portfolio increased to 4%, while the minimum weight decreased to approximately 0.2%, reflecting a significant impact of the non-linear weighting adjustment [36][37] - The overall conclusion is that the integration of the industry rotation model into the Shenwan Jinong Growth Portfolio has successfully enhanced its returns while maintaining a stable risk profile [38][39]

Report Industry Investment Rating - Not mentioned in the provided content Core Viewpoints - The report attempts to upgrade the Shenwan Quantitative Growth Portfolio by using the industry rotation model to enhance the portfolio's return performance and constructs the Shenwan Quantitative Growth Portfolio 2.0 version. It uses a non - linear weighted method to adjust the individual stock weights, effectively improving the portfolio's return without sacrificing stability [3][37] Summary by Relevant Catalogs 1. Shenwan Quantitative Growth Portfolio 1.1 Construction Logic and Historical Performance of Shenwan Quantitative Growth Portfolio - The portfolio is based on the prediction of listed companies' high future performance growth. It selects stocks through analyst consensus data, including taking the top half of stocks in terms of current - year profit forecast growth rate, removing samples with negative cumulative profit growth in the first three quarters at the end of October, and finally screening 50 stocks using the analyst consensus change factor [4] - The portfolio has achieved good results in performance prediction, with the median of average net profit growth rate falling in the top 10% - 20% of the whole - market stock net profit growth rate in the second year. It also shows distinct growth - style characteristics in historical performance, with high returns in 2019 - 2021, continuous drawdowns in 2022 - 2023, and a recovery in 2024 - 2025 [6][9] 1.2 Using the Industry Rotation Model to Further Enhance Returns - The industry rotation model, effective in the bull - market environment similar to the growth - style environment, can be used to enhance the return elasticity of the growth portfolio. The Shenwan Quantitative Industry Rotation Model uses fundamental, capital, and technical factors, and differentiates the treatment of crowding and convergence according to momentum - dominant and non - dominant sectors [12] - The long - only portfolio of the industry rotation model has a stable excess return compared to the average of all industry indices, and its stability can be used to continuously improve the portfolio by changing individual stock weights [15] 2. Non - linear Tilted Weighting to Enhance Portfolio Return Elasticity 2.1 Non - linear Tilted Weighting Method - Linear tilted weighting has a limited impact on portfolio returns. The report uses a non - linear tilted weighting method, which over - allocates more to high - scoring industries and under - allocates more to low - scoring industries, increasing the weight difference between stocks in different industries [20] 2.2 Portfolio Performance Improvement - After weight adjustment, the portfolio's return has been effectively improved. The excess return of the new tilted portfolio compared to the equal - weighted portfolio is relatively stable, indicating that the return improvement does not sacrifice stability. The return improvement is basically stable except in 2019 [23][25][27] 2.3 Statistical Information such as Annual Performance - The tilted portfolio has higher returns in most years except 2019, with returns in 2020 and 2021 rising above 60%, and drawdowns in 2022 and 2023 decreasing. The overall annualized return of the tilted portfolio has increased, the drawdown has decreased, and the Sharpe ratio and Calmar ratio have significantly improved [30][32][34] - After weight adjustment, the maximum individual stock weight can reach 4%, and the minimum can drop to around 0.2%. The adjustment ratios of upward and downward are basically symmetric [35] 3. Summary - Based on the previous growth portfolio, the report uses the industry rotation model to improve returns, adopting a non - linear tilted weighting method. The portfolio's return has increased in most years, and the excess return stability compared to the old portfolio is good [38][39]

Report Industry Investment Rating No information provided in the report. Core Viewpoints of the Report - The report attempts to upgrade the Shenwan Goldsmith Growth Portfolio by using the industry rotation model, aiming to enhance the portfolio's return performance and build the Shenwan Goldsmith Growth Portfolio 2.0 version [3]. - The nonlinear tilt - weighted method is used to adjust the weights of individual stocks in the portfolio, effectively improving the portfolio's return and enhancing its return elasticity without sacrificing return stability [21][34]. Summary by Relevant Catalogs 1. Shenwan Goldsmith Growth Portfolio 1.1 Construction Logic and Historical Performance of Shenwan Goldsmith Growth Portfolio - The Shenwan Goldsmith Growth Portfolio relies on the prediction of listed companies' future high - performance growth rates. It first selects stocks with the top half of the current one - year profit forecast growth rate from the stocks covered by analysts in the whole market. Then, in October, it eliminates samples with negative cumulative profit growth rates in the first three quarters. Finally, it uses the analyst consensus expectation change factor to select 50 stocks [4]. - The portfolio has achieved good results in predicting performance, with the median of the average net profit growth rate falling between the first and second groups of the net profit growth rate of the whole - market stocks in the following year, that is, in the top 10% - 20% of the whole market [4]. - The portfolio has distinct growth - style characteristics. It achieved returns of over 62%, 58%, and 42% in 2019, 2020, and 2021 respectively, but suffered continuous drawdowns in 2022 - 2023. It began to recover in 2024, with a return of 22.68% in 2024 and 42.85% in 2025 [8]. 1.2 Using the Industry Rotation Model to Further Improve Returns - The industry rotation model with offensive characteristics in the bull market environment can be used to enhance the return elasticity of the growth portfolio. The Shenwan Goldsmith Industry Rotation Model uses fundamental, capital, and technical factors. It also differentiates the handling of congestion and convergence according to momentum - dominant and non - dominant sectors, especially emphasizing the use of momentum [12]. - The Shenwan Goldsmith Industry Rotation Model's long - only portfolio has a relatively stable excess return compared to the average of all industry indices, and its stability can be used to continuously improve the portfolio's performance [15]. 2. Nonlinear Tilt - Weighted to Enhance Portfolio Return Elasticity 2.1 Nonlinear Tilt - Weighted Method - The linear tilt - weighted method has limited impact on the portfolio's return. Therefore, a nonlinear tilt - weighted method is adopted, which over - allocates more to industries with high scores and under - allocates more to industries with low scores, effectively utilizing the information of the industry rotation model [21]. 2.2 Portfolio Performance Improvement - After weight tilting, the portfolio's return is effectively improved. The excess return of the new tilted portfolio compared to the equal - weighted portfolio is relatively stable, indicating that the return improvement is not achieved at the cost of sacrificing return stability [25][27]. 2.3 Statistical Information such as Annual Performance - Except for 2019, the returns of the tilted portfolio have increased in other years. The returns in 2020 and 2021 have both increased to over 60%, and the drawdowns in 2022 and 2023 have decreased. The return elasticity has been significantly enhanced [34]. - The volatility and maximum drawdown of the tilted portfolio are similar to those of the equal - weighted portfolio. The annualized return of the tilted portfolio has further increased, the volatility has slightly increased, and the maximum drawdown has decreased, resulting in a significant improvement in the Sharpe ratio and Calmar ratio [36]. - After weight tilting, the maximum weight of individual stocks can rise to 4%, and the minimum weight can fall to around 0.2%. The upward and downward adjustment ratios are basically symmetrical [38]. 3. Summary - Based on the previous growth portfolio, the report uses the industry rotation model to improve the return. Considering that the linear tilt has limited impact on the portfolio, a nonlinear tilt - weighted method is adopted [41]. - After weight tilting, the portfolio's return has increased in most years, and the overall return has been improved. The excess stability compared to the old portfolio is at a good level, meaning that the return improvement is not achieved by amplifying volatility [42].