Correlation Between SBM Offshore and Corning Incorporated
Can any of the company-specific risk be diversified away by investing in both SBM Offshore and Corning Incorporated 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 SBM Offshore and Corning Incorporated into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SBM Offshore NV and Corning Incorporated, you can compare the effects of market volatilities on SBM Offshore and Corning Incorporated 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 SBM Offshore with a short position of Corning Incorporated. Check out your portfolio center. Please also check ongoing floating volatility patterns of SBM Offshore and Corning Incorporated.
Diversification Opportunities for SBM Offshore and Corning Incorporated
-0.14 | Correlation Coefficient |
Good diversification
The 3 months correlation between SBM and Corning is -0.14. Overlapping area represents the amount of risk that can be diversified away by holding SBM Offshore NV and Corning Incorporated in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Corning Incorporated and SBM Offshore 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 SBM Offshore NV are associated (or correlated) with Corning Incorporated. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Corning Incorporated has no effect on the direction of SBM Offshore i.e., SBM Offshore and Corning Incorporated go up and down completely randomly.
Pair Corralation between SBM Offshore and Corning Incorporated
Assuming the 90 days horizon SBM Offshore NV is expected to generate 3.06 times more return on investment than Corning Incorporated. However, SBM Offshore is 3.06 times more volatile than Corning Incorporated. It trades about 0.03 of its potential returns per unit of risk. Corning Incorporated is currently generating about 0.05 per unit of risk. If you would invest 1,576 in SBM Offshore NV on October 11, 2024 and sell it today you would earn a total of 167.00 from holding SBM Offshore NV or generate 10.6% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 72.38% |
Values | Daily Returns |
SBM Offshore NV vs. Corning Incorporated
Performance |
Timeline |
SBM Offshore NV |
Corning Incorporated |
SBM Offshore and Corning Incorporated Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SBM Offshore and Corning Incorporated
The main advantage of trading using opposite SBM Offshore and Corning Incorporated positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SBM Offshore position performs unexpectedly, Corning Incorporated 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 Corning Incorporated will offset losses from the drop in Corning Incorporated's long position.SBM Offshore vs. Expro Group Holdings | SBM Offshore vs. ChampionX | SBM Offshore vs. Ranger Energy Services | SBM Offshore vs. Cactus Inc |
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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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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