Correlation Between Sable Offshore and Franklin Street
Can any of the company-specific risk be diversified away by investing in both Sable Offshore and Franklin Street 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 Sable Offshore and Franklin Street into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Sable Offshore Corp and Franklin Street Properties, you can compare the effects of market volatilities on Sable Offshore and Franklin Street 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 Sable Offshore with a short position of Franklin Street. Check out your portfolio center. Please also check ongoing floating volatility patterns of Sable Offshore and Franklin Street.
Diversification Opportunities for Sable Offshore and Franklin Street
0.31 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Sable and Franklin is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding Sable Offshore Corp and Franklin Street Properties in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Franklin Street Prop and Sable 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 Sable Offshore Corp are associated (or correlated) with Franklin Street. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Franklin Street Prop has no effect on the direction of Sable Offshore i.e., Sable Offshore and Franklin Street go up and down completely randomly.
Pair Corralation between Sable Offshore and Franklin Street
Considering the 90-day investment horizon Sable Offshore Corp is expected to generate 2.56 times more return on investment than Franklin Street. However, Sable Offshore is 2.56 times more volatile than Franklin Street Properties. It trades about 0.02 of its potential returns per unit of risk. Franklin Street Properties is currently generating about 0.04 per unit of risk. If you would invest 2,276 in Sable Offshore Corp on December 11, 2024 and sell it today you would lose (13.00) from holding Sable Offshore Corp or give up 0.57% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Sable Offshore Corp vs. Franklin Street Properties
Performance |
Timeline |
Sable Offshore Corp |
Franklin Street Prop |
Sable Offshore and Franklin Street Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Sable Offshore and Franklin Street
The main advantage of trading using opposite Sable Offshore and Franklin Street positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Sable Offshore position performs unexpectedly, Franklin Street 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 Franklin Street will offset losses from the drop in Franklin Street's long position.Sable Offshore vs. Integrated Media Technology | Sable Offshore vs. Alternative Investment | Sable Offshore vs. Arbor Realty Trust | Sable Offshore vs. National Health Investors |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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