Aggregated price index with volume information
Summary:
- Specialty Stores stocks up 1.8% on average while median return up 1.7% in a day
- Specialty Stores stocks up 3.3% on average while median return up 3.3% in a week
- Specialty Stores stocks up 3.8% on average while median return up 4.8% 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 $RH 28.2%, $LOVE 28.0%, $CWH 25.2%, $GPI 14.6%, $ABG 14.5%
- 1M losers are : Losers for past month are $MNSO -13.2%, $CHWY -14.1%, $LESL -26.4%, $LL -32.6%, $WSM -47.2%
- 1W winners are : Winners for past week are $HZO 12.9%, $LESL 11.2%, $GPI 10.0%, $MED 9.9%, $EYE 9.8%
- 1W losers are : Losers for past week are $COST -2.4%, $MNSO -2.7%, $BWMX -3.0%, $GME -3.4%, $ULTA -5.5%
Correlation Analysis
Index correlation analysis
Correlation for the past month is 29.1%, for the past 3 months is 17.4%
In the past month for a 5 days rolling window, the highest corrrelation is 50.8%, the lowest correlation is 6.4%, the latest correlation is 26.2%
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 89.7% between ABG and LAD
The lowest correlation is -62.0% between COST and GPI
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