Correlation Between Natural Resource and Geo Energy
Can any of the company-specific risk be diversified away by investing in both Natural Resource and Geo Energy 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 Natural Resource and Geo Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Natural Resource Partners and Geo Energy Resources, you can compare the effects of market volatilities on Natural Resource and Geo Energy 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 Natural Resource with a short position of Geo Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Natural Resource and Geo Energy.
Diversification Opportunities for Natural Resource and Geo Energy
0.35 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Natural and Geo is 0.35. Overlapping area represents the amount of risk that can be diversified away by holding Natural Resource Partners and Geo Energy Resources in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Geo Energy Resources and Natural Resource 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 Natural Resource Partners are associated (or correlated) with Geo Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Geo Energy Resources has no effect on the direction of Natural Resource i.e., Natural Resource and Geo Energy go up and down completely randomly.
Pair Corralation between Natural Resource and Geo Energy
Considering the 90-day investment horizon Natural Resource is expected to generate 19.48 times less return on investment than Geo Energy. But when comparing it to its historical volatility, Natural Resource Partners is 1.06 times less risky than Geo Energy. It trades about 0.01 of its potential returns per unit of risk. Geo Energy Resources is currently generating about 0.18 of returns per unit of risk over similar time horizon. If you would invest 17.00 in Geo Energy Resources on December 28, 2024 and sell it today you would earn a total of 6.00 from holding Geo Energy Resources or generate 35.29% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 95.24% |
Values | Daily Returns |
Natural Resource Partners vs. Geo Energy Resources
Performance |
Timeline |
Natural Resource Partners |
Geo Energy Resources |
Natural Resource and Geo Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Natural Resource and Geo Energy
The main advantage of trading using opposite Natural Resource and Geo Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Natural Resource position performs unexpectedly, Geo Energy 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 Geo Energy will offset losses from the drop in Geo Energy's long position.Natural Resource vs. Hallador Energy | Natural Resource vs. Adaro Energy Tbk | Natural Resource vs. Alliance Resource Partners | Natural Resource vs. Peabody Energy Corp |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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