Correlation Between JBG SMITH and SBM Offshore
Can any of the company-specific risk be diversified away by investing in both JBG SMITH 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 JBG SMITH and SBM Offshore into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between JBG SMITH Properties and SBM Offshore NV, you can compare the effects of market volatilities on JBG SMITH 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 JBG SMITH with a short position of SBM Offshore. Check out your portfolio center. Please also check ongoing floating volatility patterns of JBG SMITH and SBM Offshore.
Diversification Opportunities for JBG SMITH and SBM Offshore
-0.6 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between JBG and SBM is -0.6. Overlapping area represents the amount of risk that can be diversified away by holding JBG SMITH Properties and SBM Offshore NV in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SBM Offshore NV and JBG SMITH 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 JBG SMITH Properties 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 NV has no effect on the direction of JBG SMITH i.e., JBG SMITH and SBM Offshore go up and down completely randomly.
Pair Corralation between JBG SMITH and SBM Offshore
Given the investment horizon of 90 days JBG SMITH is expected to generate 2.0 times less return on investment than SBM Offshore. But when comparing it to its historical volatility, JBG SMITH Properties is 1.24 times less risky than SBM Offshore. It trades about 0.03 of its potential returns per unit of risk. SBM Offshore NV is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 1,435 in SBM Offshore NV on August 31, 2024 and sell it today you would earn a total of 445.00 from holding SBM Offshore NV or generate 31.01% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 63.1% |
| Values | Daily Returns |
JBG SMITH Properties vs. SBM Offshore NV
Performance |
| Timeline |
| JBG SMITH Properties |
| SBM Offshore NV |
JBG SMITH and SBM Offshore Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with JBG SMITH and SBM Offshore
The main advantage of trading using opposite JBG SMITH and SBM Offshore positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if JBG SMITH 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.| JBG SMITH vs. Boston Properties | JBG SMITH vs. Alexandria Real Estate | JBG SMITH vs. Hudson Pacific Properties | JBG SMITH vs. Office Properties Income |
| SBM Offshore vs. Expro Group Holdings | SBM Offshore vs. ChampionX | SBM Offshore vs. Ranger Energy Services | SBM Offshore vs. Cactus Inc |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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