Quantitative Models and Construction Model Name: Market Size Factor Model - **Construction Idea**: The model analyzes the performance of market size factors under different monetary policy cycles, focusing on the advantage of small-cap stocks during a loose monetary environment [9][11][68] - **Construction Process**: 1. Define monetary policy cycles based on the trends of 1-year and 10-year government bond yields. If both yields decline simultaneously, it indicates a loose monetary policy period; if both rise, it indicates a tight monetary policy period. Contradictory signals are ignored, and the previous period's judgment is retained [9]. 2. Divide market size factors into deciles and calculate the long-short net value performance under loose and tight monetary cycles [9][15]. 3. Empirical results show that during loose monetary cycles, the net value of small-cap portfolios outperforms large-cap portfolios, while the opposite is true during tight monetary cycles [9][15]. - **Evaluation**: The model effectively captures the relationship between monetary policy cycles and market size factor performance, highlighting the advantage of small-cap stocks in a loose monetary environment [9][11][68]. --- Quantitative Factors and Construction Factor Name: "Specialized, Refined, Distinctive, and Innovative" (专精特新) Factor - **Construction Idea**: The factor identifies small and medium-sized enterprises with significant competitive advantages in niche markets, characterized by high innovation and quality [12][16][69]. - **Construction Process**: 1. Select companies listed on the Beijing Stock Exchange (BSE) with high proportions of high-tech enterprises and strategic emerging industries [12][16]. 2. Focus on companies categorized as "national-level specialized, refined, distinctive, and innovative small giants" [12][16]. 3. Analyze industry distribution, emphasizing sectors like advanced manufacturing, green energy, and digital economy [12][16][69]. - **Evaluation**: The factor aligns closely with national policies supporting high-quality SMEs, reflecting strong growth potential and policy-driven advantages [12][16][69]. --- Backtesting Results of Models and Factors Market Size Factor Model - **Annualized Return**: Small-cap portfolios outperform large-cap portfolios during loose monetary cycles [9][15]. - **Performance Trend**: Net value of small-cap portfolios shows a steady upward trend under loose monetary conditions [9][15]. "Specialized, Refined, Distinctive, and Innovative" Factor - **Proportion in BSE 50 Index**: Approximately 66% of the BSE 50 Index constituents are categorized as "specialized, refined, distinctive, and innovative" enterprises, significantly higher than other indices [32][69]. - **Sector Concentration**: The factor is highly concentrated in industries like machinery, chemicals, and computing, accounting for nearly 60% of the index weight [29][30][69]. --- Performance Metrics of Related Funds Fund Name: 中加专精特新量化选股A - **Annualized Return (2025)**: 75.56% [56][57]. - **Maximum Drawdown (2025)**: 12.77%, lower than the average of similar funds (15.38%) [56][57]. - **Recovery Days**: 18 days [56][57]. Fund Name: 中加中证A500指数增强A - **Annualized Return (2025)**: 33.50%, higher than the average of similar funds (23.88%) [64][67]. - **Maximum Drawdown**: 11.45%, better than the benchmark index (11.89%) [67]. - **Performance Ranking**: Ranked 14th among 68 similar funds [64][67]. Fund Name: 中加中证500指数增强A - **Annualized Return (2024-2025)**: 33.84%, exceeding the benchmark index by 5.70% [63]. - **Maximum Drawdown**: 11.60%, lower than the benchmark index (16.48%) [63]. - **Sharpe Ratio**: 1.64, higher than the benchmark index (1.30) [63]. - **Calmar Ratio**: 2.94, outperforming the benchmark index (2.00) [63].