Correlation Between Burlington Stores and Samsung Electronics
Can any of the company-specific risk be diversified away by investing in both Burlington Stores and Samsung Electronics 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 Samsung Electronics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Burlington Stores and Samsung Electronics Co, you can compare the effects of market volatilities on Burlington Stores and Samsung Electronics 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 Samsung Electronics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Burlington Stores and Samsung Electronics.
Diversification Opportunities for Burlington Stores and Samsung Electronics
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Burlington and Samsung is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Burlington Stores and Samsung Electronics Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Samsung Electronics 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 Samsung Electronics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Samsung Electronics has no effect on the direction of Burlington Stores i.e., Burlington Stores and Samsung Electronics go up and down completely randomly.
Pair Corralation between Burlington Stores and Samsung Electronics
If you would invest 23,600 in Burlington Stores on October 4, 2024 and sell it today you would earn a total of 4,200 from holding Burlington Stores or generate 17.8% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 0.0% |
Values | Daily Returns |
Burlington Stores vs. Samsung Electronics Co
Performance |
Timeline |
Burlington Stores |
Samsung Electronics |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Burlington Stores and Samsung Electronics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Burlington Stores and Samsung Electronics
The main advantage of trading using opposite Burlington Stores and Samsung Electronics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Burlington Stores position performs unexpectedly, Samsung Electronics 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 Samsung Electronics will offset losses from the drop in Samsung Electronics' long position.Burlington Stores vs. BRAEMAR HOTELS RES | Burlington Stores vs. Xenia Hotels Resorts | Burlington Stores vs. De Grey Mining | Burlington Stores vs. INTERCONT HOTELS |
Samsung Electronics vs. Elmos Semiconductor SE | Samsung Electronics vs. Haverty Furniture Companies | Samsung Electronics vs. TOREX SEMICONDUCTOR LTD | Samsung Electronics vs. Beazer Homes USA |
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 Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
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