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主动量化策略周报:CANSLIM 行业轮动策略 12 月配置建议:关注钢铁、银行、建筑、公用事业、电新等行业-20251201
Guoxin Securities· 2025-12-01 09:00
证券研究报告 | 2025年12月01日 主动量化策略周报 CANSLIM 行业轮动策略 12 月配置建议: 关注钢铁、银行、建筑、公用事业、电新等行业 核心观点 金融工程周报 本报告对 CANSLIM 行业轮动策略的样本外表现进行跟踪,从多个维度解析 行业景气度情况并最终给出月度行业配置建议,以供投资者参考。 行业轮动因子表现 上月以来(20251103-20251128),超大单资金净流入金额占比和券商金股 行业变动因子表现较好,SUE、PB 和单季度 ROE 增速因子表现较差; 今年以来(20250102-20251128),公募重仓股动量、SUE 和分析师认可 度和因子表现较好,而成交量调节动量、公募基金持仓行业变动和超大单资 金净流入金额占比因子表现较差。 上月组合绩效回顾 上月以来(20251103-20251128),行业轮动组合收益率-1.09%,同期中 信一级行业等权指数收益率-1.16%,组合超额收益率 0.08%。 今年以来(20250102-20251031),行业轮动组合收益率 20.48%,同期中 信一级行业等权指数收益率 20.20%,组合超额收益率 0.28%。 本月组合推荐情 ...
主动量化策略周报: CANSLIM 行业轮动策略 12 月配置建议:关注钢铁、银行、建筑、公用事业、电新等行业-20251201
Guoxin Securities· 2025-12-01 06:46
证券研究报告 | 2025年12月01日 主动量化策略周报 CANSLIM 行业轮动策略 12 月配置建议: 关注钢铁、银行、建筑、公用事业、电新等行业 本报告对 CANSLIM 行业轮动策略的样本外表现进行跟踪,从多个维度解析 行业景气度情况并最终给出月度行业配置建议,以供投资者参考。 行业轮动因子表现 上月以来(20251103-20251128),超大单资金净流入金额占比和券商金股 行业变动因子表现较好,SUE、PB 和单季度 ROE 增速因子表现较差; 今年以来(20250102-20251128),公募重仓股动量、SUE 和分析师认可 度和因子表现较好,而成交量调节动量、公募基金持仓行业变动和超大单资 金净流入金额占比因子表现较差。 上月组合绩效回顾 上月以来(20251103-20251128),行业轮动组合收益率-1.09%,同期中 信一级行业等权指数收益率-1.16%,组合超额收益率 0.08%。 今年以来(20250102-20251031),行业轮动组合收益率 20.48%,同期中 信一级行业等权指数收益率 20.20%,组合超额收益率 0.28%。 本月组合推荐情况 我们借鉴 CANSL ...
行业轮动策略周报:CANSLIM行业轮动策略周度配置建议:关注钢铁、银行、化工、电新和建筑等行业-20251018
Guoxin Securities· 2025-10-18 13:43
Core Insights - The report emphasizes the importance of the CANSLIM industry rotation strategy, suggesting a focus on sectors such as steel, banking, chemicals, electric power, and construction for investment opportunities [1][4][14] - The CANSLIM composite score has shown strong performance since 2013, with an average RankIC of 11.6% and a monthly win rate of 64.7%, indicating its effectiveness in distinguishing future industry returns [5][31] Industry Rotation Factor Performance - For the period from October 9 to October 17, 2025, factors such as broker stock changes, net inflow of large orders, and analyst upgrades performed well, while volume-adjusted momentum and price-to-book (PB) ratios lagged [2][16] - Year-to-date performance shows that SUE, analyst recognition, and broker stock changes have been strong, while volume-adjusted momentum and public fund holdings have underperformed [2][16] Last Month's Portfolio Performance Review - The industry rotation portfolio yielded a return of -3.56% from October 9 to October 17, 2025, compared to -2.23% for the CITIC first-level industry equal-weight index, resulting in an excess return of -1.33% [3][21] - Year-to-date, the portfolio has returned 14.70%, while the benchmark index returned 17.59%, leading to an excess return of -2.89% [3][21] Current Portfolio Recommendations - The top five industries based on the CANSLIM composite score are steel, banking, basic chemicals, electric power and new energy, and construction [4][23] - The report provides detailed scoring metrics for each industry, highlighting the importance of various dimensions such as industry crowding, analyst expectations, and fundamental conditions [4][25] CANSLIM Industry Rotation Strategy Construction and Performance - The CANSLIM strategy has demonstrated a robust annualized return of 22.94% since 2013, outperforming the industry equal-weight benchmark by 13.80% [5][36] - The strategy's maximum drawdown is 23.75%, with an information ratio of 1.29 and a monthly win rate of 73%, indicating strong risk-adjusted performance [5][36] Strategy Overview - The CANSLIM strategy incorporates multiple dimensions including industry crowding, analyst expectations, fundamental conditions, smart money flows, price momentum, institutional views, and macroeconomic valuation adjustments [26][30] - Each dimension is quantitatively assessed to guide investment decisions, ensuring a comprehensive approach to industry rotation [26][30]
主动量化策略周报:ANSLIM行业轮动策略10月配置建议:关注钢铁、基础化工、电力设备、银行和电子等行业-20251008
Guoxin Securities· 2025-10-08 12:57
Core Insights - The report suggests focusing on the steel, basic chemicals, electrical equipment, banking, and electronics industries for October's CANSLIM sector rotation strategy [1][4][23]. Sector Rotation Factor Performance - From September 1 to September 30, 2025, the brokerage's key stock sector changes, public fund heavy stock momentum, and SUE factors performed well, while public fund sector changes, volume adjustment momentum, and the proportion of net inflow from large orders performed poorly [2][16]. - Year-to-date (from January 2 to September 30, 2025), analyst approval ratings, SUE, and public fund heavy stock momentum factors showed strong performance, while public fund sector changes, volume adjustment momentum, and the proportion of net inflow from large orders performed poorly [2][16]. Last Month's Portfolio Performance Review - From September 1 to September 30, 2025, the sector rotation portfolio achieved a return of 4.38%, while the CITIC first-level industry equal-weight index returned 0.90%, resulting in an excess return of 3.48% [3][21]. - Year-to-date, the sector rotation portfolio returned 18.94%, compared to the CITIC first-level industry equal-weight index's return of 20.27%, leading to an excess return of -1.33% [3][21]. Current Portfolio Recommendations - The report utilizes the CANSLIM framework, assessing industry crowding (C), analyst expectations (A), fundamental prosperity (N), smart money (S), price momentum (L), institutional funds (I), and macro dynamic valuation (M) to construct a composite score for industries [4][22]. - The top five industries based on this scoring system are steel, basic chemicals, electrical equipment, banking, and electronics [4][23]. CANSLIM Sector Rotation Strategy Construction and Performance - Since 2013, the CANSLIM composite factor has achieved an average RankIC of 11.6%, with a monthly win rate of 64.7% and an annualized RankICIR of 1.44. The long annualized excess return is 10.75%, while the short annualized excess return is -10.41%, indicating strong differentiation capability for future industry returns [5][31]. - The portfolio constructed based on the CANSLIM composite factor has yielded an annualized return of 22.94% since 2013, with an annualized excess return of 13.80% relative to the industry equal-weight benchmark, a maximum drawdown of 23.75%, an information ratio of 1.29, and a monthly win rate of 73% [5][38].