Correlation Between Saipem SpA and SBM Offshore
Can any of the company-specific risk be diversified away by investing in both Saipem SpA 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 Saipem SpA and SBM Offshore into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Saipem SpA and SBM Offshore NV, you can compare the effects of market volatilities on Saipem SpA 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 Saipem SpA with a short position of SBM Offshore. Check out your portfolio center. Please also check ongoing floating volatility patterns of Saipem SpA and SBM Offshore.
Diversification Opportunities for Saipem SpA and SBM Offshore
-0.42 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Saipem and SBM is -0.42. Overlapping area represents the amount of risk that can be diversified away by holding Saipem SpA 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 Saipem SpA 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 Saipem SpA 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 Saipem SpA i.e., Saipem SpA and SBM Offshore go up and down completely randomly.
Pair Corralation between Saipem SpA and SBM Offshore
Assuming the 90 days horizon Saipem SpA is expected to generate 1.27 times less return on investment than SBM Offshore. But when comparing it to its historical volatility, Saipem SpA is 1.13 times less risky than SBM Offshore. It trades about 0.07 of its potential returns per unit of risk. SBM Offshore NV is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 1,801 in SBM Offshore NV on December 4, 2024 and sell it today you would earn a total of 474.00 from holding SBM Offshore NV or generate 26.32% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 81.15% |
| Values | Daily Returns |
Saipem SpA vs. SBM Offshore NV
Performance |
| Timeline |
| Saipem SpA |
| SBM Offshore NV |
Saipem SpA and SBM Offshore Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Saipem SpA and SBM Offshore
The main advantage of trading using opposite Saipem SpA and SBM Offshore positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Saipem SpA 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.| Saipem SpA vs. Worley Parsons | Saipem SpA vs. Petrofac Ltd ADR | Saipem SpA vs. SMG Industries | Saipem SpA vs. NXT Energy Solutions |
| 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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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