Correlation Between Gran Tierra and Empire Petroleum
Can any of the company-specific risk be diversified away by investing in both Gran Tierra and Empire Petroleum 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 Gran Tierra and Empire Petroleum into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Gran Tierra Energy and Empire Petroleum Corp, you can compare the effects of market volatilities on Gran Tierra and Empire Petroleum 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 Gran Tierra with a short position of Empire Petroleum. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gran Tierra and Empire Petroleum.
Diversification Opportunities for Gran Tierra and Empire Petroleum
0.54 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Gran and Empire is 0.54. Overlapping area represents the amount of risk that can be diversified away by holding Gran Tierra Energy and Empire Petroleum Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Empire Petroleum Corp and Gran Tierra 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 Gran Tierra Energy are associated (or correlated) with Empire Petroleum. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Empire Petroleum Corp has no effect on the direction of Gran Tierra i.e., Gran Tierra and Empire Petroleum go up and down completely randomly.
Pair Corralation between Gran Tierra and Empire Petroleum
Considering the 90-day investment horizon Gran Tierra is expected to generate 2.46 times less return on investment than Empire Petroleum. But when comparing it to its historical volatility, Gran Tierra Energy is 1.2 times less risky than Empire Petroleum. It trades about 0.06 of its potential returns per unit of risk. Empire Petroleum Corp is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 516.00 in Empire Petroleum Corp on September 16, 2024 and sell it today you would earn a total of 148.00 from holding Empire Petroleum Corp or generate 28.68% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Gran Tierra Energy vs. Empire Petroleum Corp
Performance |
Timeline |
Gran Tierra Energy |
Empire Petroleum Corp |
Gran Tierra and Empire Petroleum Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Gran Tierra and Empire Petroleum
The main advantage of trading using opposite Gran Tierra and Empire Petroleum positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gran Tierra position performs unexpectedly, Empire Petroleum 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 Empire Petroleum will offset losses from the drop in Empire Petroleum's long position.Gran Tierra vs. Permian Resources | Gran Tierra vs. PEDEVCO Corp | Gran Tierra vs. Vermilion Energy | Gran Tierra vs. Ovintiv |
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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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