Correlation Between BURLINGTON STORES and Solstad Offshore
Can any of the company-specific risk be diversified away by investing in both BURLINGTON STORES and Solstad Offshore 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 Solstad Offshore into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BURLINGTON STORES and Solstad Offshore ASA, you can compare the effects of market volatilities on BURLINGTON STORES and Solstad Offshore 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 Solstad Offshore. Check out your portfolio center. Please also check ongoing floating volatility patterns of BURLINGTON STORES and Solstad Offshore.
Diversification Opportunities for BURLINGTON STORES and Solstad Offshore
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between BURLINGTON and Solstad is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding BURLINGTON STORES and Solstad Offshore ASA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Solstad Offshore ASA 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 Solstad Offshore. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Solstad Offshore ASA has no effect on the direction of BURLINGTON STORES i.e., BURLINGTON STORES and Solstad Offshore go up and down completely randomly.
Pair Corralation between BURLINGTON STORES and Solstad Offshore
Assuming the 90 days trading horizon BURLINGTON STORES is expected to under-perform the Solstad Offshore. In addition to that, BURLINGTON STORES is 1.36 times more volatile than Solstad Offshore ASA. It trades about -0.16 of its total potential returns per unit of risk. Solstad Offshore ASA is currently generating about -0.03 per unit of volatility. If you would invest 332.00 in Solstad Offshore ASA on December 24, 2024 and sell it today you would lose (14.00) from holding Solstad Offshore ASA or give up 4.22% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 98.36% |
Values | Daily Returns |
BURLINGTON STORES vs. Solstad Offshore ASA
Performance |
Timeline |
BURLINGTON STORES |
Solstad Offshore ASA |
BURLINGTON STORES and Solstad Offshore Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BURLINGTON STORES and Solstad Offshore
The main advantage of trading using opposite BURLINGTON STORES and Solstad Offshore positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BURLINGTON STORES position performs unexpectedly, Solstad Offshore 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 Solstad Offshore will offset losses from the drop in Solstad Offshore's long position.BURLINGTON STORES vs. FIRST SAVINGS FINL | BURLINGTON STORES vs. AGNC INVESTMENT | BURLINGTON STORES vs. Yunnan Water Investment | BURLINGTON STORES vs. PennantPark Investment |
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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 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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