Correlation Between Marine Petroleum and AZZ Incorporated
Can any of the company-specific risk be diversified away by investing in both Marine Petroleum and AZZ 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 Marine Petroleum and AZZ Incorporated into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Marine Petroleum Trust and AZZ Incorporated, you can compare the effects of market volatilities on Marine Petroleum and AZZ 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 Marine Petroleum with a short position of AZZ Incorporated. Check out your portfolio center. Please also check ongoing floating volatility patterns of Marine Petroleum and AZZ Incorporated.
Diversification Opportunities for Marine Petroleum and AZZ Incorporated
0.31 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Marine and AZZ is 0.31. Overlapping area represents the amount of risk that can be diversified away by holding Marine Petroleum Trust and AZZ Incorporated in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AZZ Incorporated and Marine Petroleum 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 Marine Petroleum Trust are associated (or correlated) with AZZ Incorporated. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AZZ Incorporated has no effect on the direction of Marine Petroleum i.e., Marine Petroleum and AZZ Incorporated go up and down completely randomly.
Pair Corralation between Marine Petroleum and AZZ Incorporated
Assuming the 90 days horizon Marine Petroleum Trust is expected to generate 3.88 times more return on investment than AZZ Incorporated. However, Marine Petroleum is 3.88 times more volatile than AZZ Incorporated. It trades about 0.07 of its potential returns per unit of risk. AZZ Incorporated is currently generating about 0.2 per unit of risk. If you would invest 378.00 in Marine Petroleum Trust on May 7, 2025 and sell it today you would earn a total of 68.00 from holding Marine Petroleum Trust or generate 17.99% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Marine Petroleum Trust vs. AZZ Incorporated
Performance |
Timeline |
Marine Petroleum Trust |
AZZ Incorporated |
Marine Petroleum and AZZ Incorporated Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Marine Petroleum and AZZ Incorporated
The main advantage of trading using opposite Marine Petroleum and AZZ Incorporated positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Marine Petroleum position performs unexpectedly, AZZ 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 AZZ Incorporated will offset losses from the drop in AZZ Incorporated's long position.Marine Petroleum vs. GasLog Partners LP | Marine Petroleum vs. Dynagas LNG Partners | Marine Petroleum vs. CBL International Limited | Marine Petroleum vs. Imperial Petroleum Preferred |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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