Core Viewpoint - The article discusses the shift in investment styles driven by fundamental factors, indicating a transition from growth to value investing as economic indicators improve and market trends are confirmed [3][5][67]. Group 1: Factor Performance - Growth factors have shown strong performance this year, with cumulative returns of 37.93% in the CSI 300 index, while momentum and dividend factors have underperformed [8][11]. - Low volatility factors have performed poorly in the CSI 300, reflecting the high volatility characteristics of the market this year [10][12]. - The performance of long-term momentum factors has been weak, indicating rapid rotation among industries and sectors [10][14]. Group 2: Macro Quantitative Framework - The macroeconomic cycle has been switching more frequently in the past three years compared to before 2020, with economic indicators suggesting a downturn in the first half of 2025 followed by a recovery towards the end of the year [32][38]. - The liquidity indicators have shown a weak overall trend, with market trading rates rising, indicating a correction in liquidity expected in the second half of 2025 [40][46]. - Credit indicators have shown a preference for expansion in the first half of 2025, aligning with social financing, but are expected to shift towards contraction in the second half [53][48]. Group 3: 2026 Equity Quantitative Outlook - The investment strategy for 2026 is expected to be driven by fundamental factors, with a focus on value before growth as economic conditions improve [5][54]. - The market is currently in a consolidation phase, with a trend confirmation expected to benefit value and long-term momentum factors, while growth factors are anticipated to perform better in a volatile environment [75][80]. - Industry rotation speed has slowed down, indicating potential for the formation of main lines in the market, with a focus on industries with low crowding and emerging trends [82][85].

Core Viewpoint - The secondary bond fund market is experiencing significant growth and performance, driven by favorable market conditions and strategic asset allocation by fund managers [1][2]. Group 1: Market Performance - The secondary bond fund market has shown a "volume and price increase" trend this year, with rapid expansion in product scale and multiple new products launched [2]. - High-volatility secondary bond funds have attracted substantial inflows, particularly from institutional investors, due to their strong performance and ability to provide equity-like returns [2][3]. - As of the end of September, the "Hua Fu An Xin Bond" fund managed by Dai Hongyi achieved over 26% return in the past year, benefiting from precise positioning in high-growth sectors [2][3]. Group 2: Investment Strategy - The Hua Fu An Xin Bond fund has focused on three key sectors: the AI industry chain, innovative pharmaceuticals, and new consumer segments, capitalizing on emerging opportunities [2][3]. - The fund manager employs a flexible asset allocation strategy, adjusting stock and convertible bond positions based on market conditions to optimize returns [3]. - A self-developed macro quantitative model is utilized to enhance investment decisions, incorporating various economic factors and industry analyses to manage risks effectively [3]. Group 3: Market Outlook - The bond market is expected to benefit from improving macroeconomic conditions, with signs of recovery and potential inflows from equity markets [4]. - The fund manager anticipates that the equity market's long-term cycle remains intact, though short-term volatility may increase, prompting a balanced investment approach [5]. - Focus areas for equity investments include the AI industry chain, innovative pharmaceuticals, and emerging sectors like solid-state batteries and controllable nuclear fusion [5].

Group 1 - The article discusses a macro quantitative framework that combines economic, liquidity, credit, and inflation factors for asset allocation and industry/style configuration [1][3] - The framework has been adjusted based on the changing mapping of macro variables to assets, with a focus on economic and liquidity indicators [1][5] - The performance of aggressive portfolios since 2013 shows an annualized return of approximately 8.5%, with a 0.6% excess return compared to the benchmark [3][5] Group 2 - The article highlights the impact of macroeconomic conditions on industry and style configurations, incorporating credit sensitivity into the analysis [5][7] - The macro-sensitive industry configuration has shown varying performance, with a notable decline since 2022, indicating the need for adjustments in selection criteria [7][10] - The article emphasizes the importance of market expectations in influencing macroeconomic indicators and their relationship with asset performance [13][18] Group 3 - The Factor Mimicking model is introduced to capture market expectations regarding macro variables, using a refined stock pool for better representation [19][20] - The construction of the Factor Mimicking portfolio aims to reflect the market's implicit views on economic, liquidity, inflation, and credit variables [19][23] - The article discusses the need for additional micro mappings to enhance the representation of macro variables, particularly in relation to corporate earnings and valuations [28][30] Group 4 - The article outlines the adjustments made to the macro variables based on market expectations, focusing on economic, liquidity, and credit dimensions [34][36] - The revised indicators are expected to improve asset allocation strategies, particularly in the context of equity markets [39][40] - The performance of the revised industry and style configurations indicates a positive impact from incorporating market expectations into the analysis [46][54]