——金融工程市场跟踪周报20251229:市场仍将震荡上行-20251229
EBSCN·2025-12-29 07:25
  • The report discusses a volume-timing model for broad-based indices, which provides signals based on market volume trends. As of December 26, 2025, the model indicates a "cautious" view for the SSE 50 index, while other indices such as SSE Composite, CSI 300, CSI 500, CSI 1000, ChiNext, and Beijing 50 show "bullish" signals[2][23][24] - A momentum sentiment indicator is introduced, which calculates the proportion of stocks in the CSI 300 index with positive returns over a specific period (N days). The formula is: $ \text{CSI 300 N-day Upward Proportion} = \frac{\text{Number of CSI 300 stocks with positive returns in the past N days}}{\text{Total number of CSI 300 stocks}} $ This indicator is effective in capturing upward opportunities but has limitations in avoiding risks during market downturns. Recently, the indicator's value has been around 71%[24][25][28] - A moving average sentiment indicator is also discussed, which uses eight moving averages (8, 13, 21, 34, 55, 89, 144, 233) to assess market trends. The indicator assigns values based on the number of moving averages above or below the current price. When the number of moving averages above the price exceeds five, the market is considered bullish. This indicator currently shows that the CSI 300 index is in a positive sentiment zone[30][33][36] - The report evaluates cross-sectional volatility and time-series volatility as measures of alpha generation potential. Cross-sectional volatility for CSI 300, CSI 500, and CSI 1000 stocks shows mixed trends, with CSI 500 experiencing an increase, indicating a better short-term alpha environment. Time-series volatility for all three indices has decreased recently, suggesting a weaker short-term alpha environment[41][42][43] - A fund clustering degree indicator is used to monitor the degree of fund concentration. This is measured by the standard deviation of cross-sectional returns of clustered funds. A lower standard deviation indicates higher clustering. Recently, the clustering degree has slightly increased, and both clustered funds and stocks have shown higher excess returns over the past week[83][85][87]