Correlation Between Scorpio Tankers and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Scorpio Tankers and Dow Jones 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 Scorpio Tankers and Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Scorpio Tankers and Dow Jones Industrial, you can compare the effects of market volatilities on Scorpio Tankers and Dow Jones 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 Scorpio Tankers with a short position of Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Scorpio Tankers and Dow Jones.
Diversification Opportunities for Scorpio Tankers and Dow Jones
0.7 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Scorpio and Dow is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Scorpio Tankers and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial and Scorpio Tankers 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 Scorpio Tankers are associated (or correlated) with Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of Scorpio Tankers i.e., Scorpio Tankers and Dow Jones go up and down completely randomly.
Pair Corralation between Scorpio Tankers and Dow Jones
Given the investment horizon of 90 days Scorpio Tankers is expected to generate 3.16 times more return on investment than Dow Jones. However, Scorpio Tankers is 3.16 times more volatile than Dow Jones Industrial. It trades about 0.11 of its potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.12 per unit of risk. If you would invest 4,028 in Scorpio Tankers on May 5, 2025 and sell it today you would earn a total of 677.00 from holding Scorpio Tankers or generate 16.81% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Scorpio Tankers vs. Dow Jones Industrial
Performance |
Timeline |
Scorpio Tankers and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
Scorpio Tankers
Pair trading matchups for Scorpio Tankers
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Scorpio Tankers and Dow Jones
The main advantage of trading using opposite Scorpio Tankers and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Scorpio Tankers position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.Scorpio Tankers vs. Teekay Tankers | Scorpio Tankers vs. International Seaways | Scorpio Tankers vs. Frontline | Scorpio Tankers vs. DHT Holdings |
Dow Jones vs. CF Industries Holdings | Dow Jones vs. Hillman Solutions Corp | Dow Jones vs. Ecovyst | Dow Jones vs. Timken Company |
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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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