Correlation Between WillScot Mobile and SBM OFFSHORE
Can any of the company-specific risk be diversified away by investing in both WillScot Mobile 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 WillScot Mobile and SBM OFFSHORE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between WillScot Mobile Mini and SBM OFFSHORE, you can compare the effects of market volatilities on WillScot Mobile 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 WillScot Mobile with a short position of SBM OFFSHORE. Check out your portfolio center. Please also check ongoing floating volatility patterns of WillScot Mobile and SBM OFFSHORE.
Diversification Opportunities for WillScot Mobile and SBM OFFSHORE
-0.53 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between WillScot and SBM is -0.53. Overlapping area represents the amount of risk that can be diversified away by holding WillScot Mobile Mini and SBM OFFSHORE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SBM OFFSHORE and WillScot Mobile 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 WillScot Mobile Mini 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 WillScot Mobile i.e., WillScot Mobile and SBM OFFSHORE go up and down completely randomly.
Pair Corralation between WillScot Mobile and SBM OFFSHORE
Assuming the 90 days trading horizon WillScot Mobile Mini is expected to under-perform the SBM OFFSHORE. In addition to that, WillScot Mobile is 1.22 times more volatile than SBM OFFSHORE. It trades about -0.09 of its total potential returns per unit of risk. SBM OFFSHORE is currently generating about 0.16 per unit of volatility. If you would invest 1,672 in SBM OFFSHORE on December 22, 2024 and sell it today you would earn a total of 340.00 from holding SBM OFFSHORE or generate 20.33% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
WillScot Mobile Mini vs. SBM OFFSHORE
Performance |
Timeline |
WillScot Mobile Mini |
SBM OFFSHORE |
WillScot Mobile and SBM OFFSHORE Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with WillScot Mobile and SBM OFFSHORE
The main advantage of trading using opposite WillScot Mobile and SBM OFFSHORE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if WillScot Mobile 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.WillScot Mobile vs. Sanyo Chemical Industries | WillScot Mobile vs. INDO RAMA SYNTHETIC | WillScot Mobile vs. Sinopec Shanghai Petrochemical | WillScot Mobile vs. Sekisui Chemical Co |
SBM OFFSHORE vs. Sabre Insurance Group | SBM OFFSHORE vs. RESMINING UNSPADR10 | SBM OFFSHORE vs. Direct Line Insurance | SBM OFFSHORE vs. Calibre Mining Corp |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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