Correlation Between BJs Wholesale and SBM OFFSHORE
Can any of the company-specific risk be diversified away by investing in both BJs Wholesale and SBM 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 BJs Wholesale and SBM OFFSHORE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BJs Wholesale Club and SBM OFFSHORE, you can compare the effects of market volatilities on BJs Wholesale and SBM 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 BJs Wholesale with a short position of SBM OFFSHORE. Check out your portfolio center. Please also check ongoing floating volatility patterns of BJs Wholesale and SBM OFFSHORE.
Diversification Opportunities for BJs Wholesale and SBM OFFSHORE
0.45 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between BJs and SBM is 0.45. Overlapping area represents the amount of risk that can be diversified away by holding BJs Wholesale Club and SBM OFFSHORE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SBM OFFSHORE and BJs Wholesale 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 BJs Wholesale Club are associated (or correlated) with SBM OFFSHORE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SBM OFFSHORE has no effect on the direction of BJs Wholesale i.e., BJs Wholesale and SBM OFFSHORE go up and down completely randomly.
Pair Corralation between BJs Wholesale and SBM OFFSHORE
Assuming the 90 days horizon BJs Wholesale is expected to generate 2.65 times less return on investment than SBM OFFSHORE. But when comparing it to its historical volatility, BJs Wholesale Club is 1.23 times less risky than SBM OFFSHORE. It trades about 0.07 of its potential returns per unit of risk. SBM OFFSHORE is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest 1,676 in SBM OFFSHORE on December 3, 2024 and sell it today you would earn a total of 299.00 from holding SBM OFFSHORE or generate 17.84% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
BJs Wholesale Club vs. SBM OFFSHORE
Performance |
Timeline |
BJs Wholesale Club |
SBM OFFSHORE |
BJs Wholesale and SBM OFFSHORE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BJs Wholesale and SBM OFFSHORE
The main advantage of trading using opposite BJs Wholesale and SBM OFFSHORE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BJs Wholesale position performs unexpectedly, SBM 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 SBM OFFSHORE will offset losses from the drop in SBM OFFSHORE's long position.BJs Wholesale vs. Easy Software AG | BJs Wholesale vs. IBU tec advanced materials | BJs Wholesale vs. Hyster Yale Materials Handling | BJs Wholesale vs. Mitsubishi Materials |
SBM OFFSHORE vs. AEGEAN AIRLINES | SBM OFFSHORE vs. ScanSource | SBM OFFSHORE vs. Fevertree Drinks PLC | SBM OFFSHORE vs. United Natural Foods |
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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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