Correlation Between ShaMaran Petroleum and Cross Timbers
Can any of the company-specific risk be diversified away by investing in both ShaMaran Petroleum and Cross Timbers 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 ShaMaran Petroleum and Cross Timbers into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ShaMaran Petroleum Corp and Cross Timbers Royalty, you can compare the effects of market volatilities on ShaMaran Petroleum and Cross Timbers 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 ShaMaran Petroleum with a short position of Cross Timbers. Check out your portfolio center. Please also check ongoing floating volatility patterns of ShaMaran Petroleum and Cross Timbers.
Diversification Opportunities for ShaMaran Petroleum and Cross Timbers
-0.36 | Correlation Coefficient |
Very good diversification
The 3 months correlation between ShaMaran and Cross is -0.36. Overlapping area represents the amount of risk that can be diversified away by holding ShaMaran Petroleum Corp and Cross Timbers Royalty in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cross Timbers Royalty and ShaMaran 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 ShaMaran Petroleum Corp are associated (or correlated) with Cross Timbers. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cross Timbers Royalty has no effect on the direction of ShaMaran Petroleum i.e., ShaMaran Petroleum and Cross Timbers go up and down completely randomly.
Pair Corralation between ShaMaran Petroleum and Cross Timbers
Assuming the 90 days horizon ShaMaran Petroleum Corp is expected to generate 3.29 times more return on investment than Cross Timbers. However, ShaMaran Petroleum is 3.29 times more volatile than Cross Timbers Royalty. It trades about 0.05 of its potential returns per unit of risk. Cross Timbers Royalty is currently generating about -0.02 per unit of risk. If you would invest 7.00 in ShaMaran Petroleum Corp on August 24, 2024 and sell it today you would earn a total of 0.91 from holding ShaMaran Petroleum Corp or generate 13.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
ShaMaran Petroleum Corp vs. Cross Timbers Royalty
Performance |
Timeline |
ShaMaran Petroleum Corp |
Cross Timbers Royalty |
ShaMaran Petroleum and Cross Timbers Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ShaMaran Petroleum and Cross Timbers
The main advantage of trading using opposite ShaMaran Petroleum and Cross Timbers positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ShaMaran Petroleum position performs unexpectedly, Cross Timbers 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 Cross Timbers will offset losses from the drop in Cross Timbers' long position.ShaMaran Petroleum vs. PetroShale | ShaMaran Petroleum vs. Africa Energy Corp | ShaMaran Petroleum vs. Horizon Oil Limited | ShaMaran Petroleum vs. Saturn Oil Gas |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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