Correlation Between Plains All and Scorpio Tankers
Can any of the company-specific risk be diversified away by investing in both Plains All and Scorpio Tankers 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 Plains All and Scorpio Tankers into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Plains All American and Scorpio Tankers, you can compare the effects of market volatilities on Plains All and Scorpio Tankers 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 Plains All with a short position of Scorpio Tankers. Check out your portfolio center. Please also check ongoing floating volatility patterns of Plains All and Scorpio Tankers.
Diversification Opportunities for Plains All and Scorpio Tankers
-0.42 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Plains and Scorpio is -0.42. Overlapping area represents the amount of risk that can be diversified away by holding Plains All American and Scorpio Tankers in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Scorpio Tankers and Plains All 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 Plains All American are associated (or correlated) with Scorpio Tankers. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Scorpio Tankers has no effect on the direction of Plains All i.e., Plains All and Scorpio Tankers go up and down completely randomly.
Pair Corralation between Plains All and Scorpio Tankers
Considering the 90-day investment horizon Plains All American is expected to generate 0.79 times more return on investment than Scorpio Tankers. However, Plains All American is 1.27 times less risky than Scorpio Tankers. It trades about 0.03 of its potential returns per unit of risk. Scorpio Tankers is currently generating about -0.29 per unit of risk. If you would invest 1,745 in Plains All American on September 16, 2024 and sell it today you would earn a total of 41.00 from holding Plains All American or generate 2.35% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Plains All American vs. Scorpio Tankers
Performance |
Timeline |
Plains All American |
Scorpio Tankers |
Plains All and Scorpio Tankers Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Plains All and Scorpio Tankers
The main advantage of trading using opposite Plains All and Scorpio Tankers positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Plains All position performs unexpectedly, Scorpio Tankers 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 Scorpio Tankers will offset losses from the drop in Scorpio Tankers' long position.Plains All vs. Genesis Energy LP | Plains All vs. Western Midstream Partners | Plains All vs. Hess Midstream Partners | Plains All vs. Enterprise Products Partners |
Scorpio Tankers vs. DT Midstream | Scorpio Tankers vs. MPLX LP | Scorpio Tankers vs. Plains All American | Scorpio Tankers vs. Hess Midstream Partners |
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 ETFs module to find actively traded Exchange Traded Funds (ETF) from around the world.
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