Aggregated price index with volume information
Summary:
- Financial Publishing/Services stocks up 1.0% on average while median return up 0.9% in a day
- Financial Publishing/Services stocks up 4.1% on average while median return up 2.1% in a week
- Financial Publishing/Services stocks up 7.3% on average while median return up 9.2% in a month
- When average return is significantly different from median return, this implies an asymmetry - composite return is driven by some outliners.
Aggregated price index (close) is based on equal weighted constituencies returns. Average short volume and average total volumes are averaged across all volume data among constituencies.
- 1M winners are : Winners for past month are $VALU 19.8%, $DNB 18.3%, $MSCI 11.0%, $MORN 10.6%
- 1M losers are : Losers for past month are $FDS -0.1%, $ENV -0.8%, $TRI -3.9%
- 1W winners are : Winners for past week are $VALU 13.0%, $MSCI 9.0%, $MORN 6.8%, $DNB 6.7%
- 1W losers are : Losers for past week are $TRI -0.6%, $FDS -2.1%
Correlation Analysis
Index correlation analysis
Correlation for the past month is 27.8%, for the past 3 months is 29.6%
In the past month for a 5 days rolling window, the highest corrrelation is 57.1%, the lowest correlation is 2.8%, the latest correlation is 25.3%
When a correlation deviated from the normal level and goes lower or even negative, it indicates some of stocks have deviated from the normal direction of the group. The deviation could reverse if long term level of correlation was at a higher level. It creates trading opportunities and deserves study whether the deviation is idiosyncratic or systematic.
Among pairwise correlation, the highest correlation is 85.5% between MCO and SPGI
The lowest correlation is -32.5% between DNB and VALU
S&P Global (SPGI) could produce exceptional returns because of its solid growth attributes.
Does S&P Global (SPGI) have what it takes to be a top stock pick for momentum investors? Let's find out.
Evaluate the expected performance of S&P Global (SPGI) for the quarter ended June 2024, looking beyond the conventional Wall Street top-and-bottom-line estimates and examining some of its key metrics for better insight.
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