Correlation Between Parex Resources and Gulf Keystone
Can any of the company-specific risk be diversified away by investing in both Parex Resources and Gulf Keystone 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 Parex Resources and Gulf Keystone into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Parex Resources and Gulf Keystone Petroleum, you can compare the effects of market volatilities on Parex Resources and Gulf Keystone 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 Parex Resources with a short position of Gulf Keystone. Check out your portfolio center. Please also check ongoing floating volatility patterns of Parex Resources and Gulf Keystone.
Diversification Opportunities for Parex Resources and Gulf Keystone
-0.31 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Parex and Gulf is -0.31. Overlapping area represents the amount of risk that can be diversified away by holding Parex Resources and Gulf Keystone Petroleum in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gulf Keystone Petroleum and Parex Resources 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 Parex Resources are associated (or correlated) with Gulf Keystone. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gulf Keystone Petroleum has no effect on the direction of Parex Resources i.e., Parex Resources and Gulf Keystone go up and down completely randomly.
Pair Corralation between Parex Resources and Gulf Keystone
Assuming the 90 days horizon Parex Resources is expected to generate 37.92 times less return on investment than Gulf Keystone. But when comparing it to its historical volatility, Parex Resources is 1.93 times less risky than Gulf Keystone. It trades about 0.01 of its potential returns per unit of risk. Gulf Keystone Petroleum is currently generating about 0.19 of returns per unit of risk over similar time horizon. If you would invest 172.00 in Gulf Keystone Petroleum on December 28, 2024 and sell it today you would earn a total of 90.00 from holding Gulf Keystone Petroleum or generate 52.33% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 91.67% |
Values | Daily Returns |
Parex Resources vs. Gulf Keystone Petroleum
Performance |
Timeline |
Parex Resources |
Gulf Keystone Petroleum |
Parex Resources and Gulf Keystone Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Parex Resources and Gulf Keystone
The main advantage of trading using opposite Parex Resources and Gulf Keystone positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Parex Resources position performs unexpectedly, Gulf Keystone 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 Gulf Keystone will offset losses from the drop in Gulf Keystone's long position.Parex Resources vs. Petro Viking Energy | Parex Resources vs. Surge Energy | Parex Resources vs. Razor Energy Corp | Parex Resources vs. Prospera 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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