Correlation Between Headwater Exploration and Africa Oil
Can any of the company-specific risk be diversified away by investing in both Headwater Exploration and Africa Oil 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 Headwater Exploration and Africa Oil into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Headwater Exploration and Africa Oil Corp, you can compare the effects of market volatilities on Headwater Exploration and Africa Oil 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 Headwater Exploration with a short position of Africa Oil. Check out your portfolio center. Please also check ongoing floating volatility patterns of Headwater Exploration and Africa Oil.
Diversification Opportunities for Headwater Exploration and Africa Oil
0.1 | Correlation Coefficient |
Average diversification
The 3 months correlation between Headwater and Africa is 0.1. Overlapping area represents the amount of risk that can be diversified away by holding Headwater Exploration and Africa Oil Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Africa Oil Corp and Headwater Exploration 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 Headwater Exploration are associated (or correlated) with Africa Oil. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Africa Oil Corp has no effect on the direction of Headwater Exploration i.e., Headwater Exploration and Africa Oil go up and down completely randomly.
Pair Corralation between Headwater Exploration and Africa Oil
Assuming the 90 days trading horizon Headwater Exploration is expected to generate 347.69 times less return on investment than Africa Oil. But when comparing it to its historical volatility, Headwater Exploration is 1.72 times less risky than Africa Oil. It trades about 0.0 of its potential returns per unit of risk. Africa Oil Corp is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 160.00 in Africa Oil Corp on December 30, 2024 and sell it today you would earn a total of 46.00 from holding Africa Oil Corp or generate 28.75% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Headwater Exploration vs. Africa Oil Corp
Performance |
Timeline |
Headwater Exploration |
Africa Oil Corp |
Headwater Exploration and Africa Oil Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Headwater Exploration and Africa Oil
The main advantage of trading using opposite Headwater Exploration and Africa Oil positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Headwater Exploration position performs unexpectedly, Africa Oil 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 Africa Oil will offset losses from the drop in Africa Oil's long position.Headwater Exploration vs. Tamarack Valley Energy | Headwater Exploration vs. Cardinal Energy | Headwater Exploration vs. NuVista Energy |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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