量化周报：市场或已开启新一轮上涨

• The report mentions the use of a BARRA factor model to construct ten style factors for the A-share market, including Size (SIZE), Beta (BETA), Momentum (MOM), Residual Volatility (RESVOL), Non-linear Size (NLSIZE), Valuation (BTOP), Liquidity (LIQUIDITY), Earnings Yield (EARNINGS_YIELD), Growth (GROWTH), and Leverage (LVRG) [60] - The construction of the A-share sentiment index is based on market volatility and trading volume changes, dividing the market into four quadrants. Only the quadrant with increasing volatility and decreasing trading volume shows significant negative returns, while the other three quadrants show significant positive returns. The sentiment index includes bottoming and peaking warning signals [36][39] - The A-share prosperity index is constructed using the YoY growth of the net profit attributable to the parent company of the Shanghai Composite Index as the Nowcasting target. The index reflects the high-frequency prosperity trend of the A-share market [31][34] - The theme mining algorithm identifies investment opportunities by processing news and research report texts, extracting theme keywords, exploring relationships between themes and individual stocks, constructing active theme cycles, and building theme influence factors. The report highlights the "Commercial Aerospace" theme as a recent opportunity [49] - The enhanced index portfolios for CSI 500 and CSI 300 are based on strategy models. The CSI 500 enhanced portfolio achieved a cumulative excess return of 48.49% since 2020, with a maximum drawdown of -9.51%, while the CSI 300 enhanced portfolio achieved a cumulative excess return of 45.73% since 2020, with a maximum drawdown of -5.86% [49][55] - The performance of style factors over the past week shows that Beta factor had the highest excess return, while Size factor exhibited a significant negative excess return. High Beta stocks performed well, while Size and other factors underperformed [61][67] - The factor exposure correlation matrix indicates that liquidity is positively correlated with Beta, Momentum, and Residual Volatility, while valuation is negatively correlated with Beta, Residual Volatility, and Liquidity [62][63] - The factor performance attribution for major indices reveals that indices like CSI 500, ChiNext, and Wind All A benefited from high Beta exposure, while indices like Shanghai Composite and SSE 50 underperformed due to lower Beta exposure [69][70][73]