Correlation Between Container Store and 1 800
Can any of the company-specific risk be diversified away by investing in both Container Store and 1 800 at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Container Store and 1 800 into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Container Store Group and 1 800 FLOWERSCOM, you can compare the effects of market volatilities on Container Store and 1 800 and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Container Store with a short position of 1 800. Check out your portfolio center. Please also check ongoing floating volatility patterns of Container Store and 1 800.
Diversification Opportunities for Container Store and 1 800
0.43 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Container and FLWS is 0.43. Overlapping area represents the amount of risk that can be diversified away by holding Container Store Group and 1 800 FLOWERSCOM in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on 1 800 FLOWERSCOM and Container Store is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Container Store Group are associated (or correlated) with 1 800. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of 1 800 FLOWERSCOM has no effect on the direction of Container Store i.e., Container Store and 1 800 go up and down completely randomly.
Pair Corralation between Container Store and 1 800
Considering the 90-day investment horizon Container Store Group is expected to generate 5.04 times more return on investment than 1 800. However, Container Store is 5.04 times more volatile than 1 800 FLOWERSCOM. It trades about 0.0 of its potential returns per unit of risk. 1 800 FLOWERSCOM is currently generating about -0.04 per unit of risk. If you would invest 825.00 in Container Store Group on September 30, 2024 and sell it today you would lose (560.00) from holding Container Store Group or give up 67.88% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 89.68% |
Values | Daily Returns |
Container Store Group vs. 1 800 FLOWERSCOM
Performance |
Timeline |
Container Store Group |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
1 800 FLOWERSCOM |
Container Store and 1 800 Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Container Store and 1 800
The main advantage of trading using opposite Container Store and 1 800 positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Container Store position performs unexpectedly, 1 800 can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in 1 800 will offset losses from the drop in 1 800's long position.Container Store vs. Tillys Inc | Container Store vs. Big 5 Sporting | Container Store vs. Sportsmans | Container Store vs. Noodles Company |
Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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