Correlation Between Kite Realty and SBM Offshore
Can any of the company-specific risk be diversified away by investing in both Kite Realty 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 Kite Realty and SBM Offshore into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Kite Realty Group and SBM Offshore NV, you can compare the effects of market volatilities on Kite Realty 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 Kite Realty with a short position of SBM Offshore. Check out your portfolio center. Please also check ongoing floating volatility patterns of Kite Realty and SBM Offshore.
Diversification Opportunities for Kite Realty and SBM Offshore
0.68 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Kite and SBM is 0.68. Overlapping area represents the amount of risk that can be diversified away by holding Kite Realty Group 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 Kite Realty 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 Kite Realty Group 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 Kite Realty i.e., Kite Realty and SBM Offshore go up and down completely randomly.
Pair Corralation between Kite Realty and SBM Offshore
Considering the 90-day investment horizon Kite Realty is expected to generate 1.65 times less return on investment than SBM Offshore. In addition to that, Kite Realty is 1.13 times more volatile than SBM Offshore NV. It trades about 0.08 of its total potential returns per unit of risk. SBM Offshore NV is currently generating about 0.14 per unit of volatility. If you would invest 1,836 in SBM Offshore NV on September 5, 2024 and sell it today you would earn a total of 44.00 from holding SBM Offshore NV or generate 2.4% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 95.45% |
Values | Daily Returns |
Kite Realty Group vs. SBM Offshore NV
Performance |
Timeline |
Kite Realty Group |
SBM Offshore NV |
Kite Realty and SBM Offshore Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Kite Realty and SBM Offshore
The main advantage of trading using opposite Kite Realty and SBM Offshore positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Kite Realty 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.Kite Realty vs. Site Centers Corp | Kite Realty vs. CBL Associates Properties | Kite Realty vs. Urban Edge Properties | Kite Realty vs. Acadia Realty Trust |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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