Correlation Between Burlington Stores and Teva Pharmaceutical
Can any of the company-specific risk be diversified away by investing in both Burlington Stores and Teva Pharmaceutical 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 Burlington Stores and Teva Pharmaceutical into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Burlington Stores and Teva Pharmaceutical Industries, you can compare the effects of market volatilities on Burlington Stores and Teva Pharmaceutical 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 Burlington Stores with a short position of Teva Pharmaceutical. Check out your portfolio center. Please also check ongoing floating volatility patterns of Burlington Stores and Teva Pharmaceutical.
Diversification Opportunities for Burlington Stores and Teva Pharmaceutical
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Burlington and Teva is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Burlington Stores and Teva Pharmaceutical Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Teva Pharmaceutical and Burlington Stores 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 Burlington Stores are associated (or correlated) with Teva Pharmaceutical. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Teva Pharmaceutical has no effect on the direction of Burlington Stores i.e., Burlington Stores and Teva Pharmaceutical go up and down completely randomly.
Pair Corralation between Burlington Stores and Teva Pharmaceutical
Assuming the 90 days trading horizon Burlington Stores is expected to generate 0.93 times more return on investment than Teva Pharmaceutical. However, Burlington Stores is 1.07 times less risky than Teva Pharmaceutical. It trades about -0.13 of its potential returns per unit of risk. Teva Pharmaceutical Industries is currently generating about -0.16 per unit of risk. If you would invest 27,200 in Burlington Stores on December 21, 2024 and sell it today you would lose (6,000) from holding Burlington Stores or give up 22.06% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Burlington Stores vs. Teva Pharmaceutical Industries
Performance |
Timeline |
Burlington Stores |
Teva Pharmaceutical |
Burlington Stores and Teva Pharmaceutical Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Burlington Stores and Teva Pharmaceutical
The main advantage of trading using opposite Burlington Stores and Teva Pharmaceutical positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Burlington Stores position performs unexpectedly, Teva Pharmaceutical 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 Teva Pharmaceutical will offset losses from the drop in Teva Pharmaceutical's long position.Burlington Stores vs. GREENX METALS LTD | Burlington Stores vs. AGNC INVESTMENT | Burlington Stores vs. AEON METALS LTD | Burlington Stores vs. REGAL ASIAN INVESTMENTS |
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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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
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