Correlation Between Cross Timbers and Tamboran Resources
Can any of the company-specific risk be diversified away by investing in both Cross Timbers and Tamboran Resources 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 Cross Timbers and Tamboran Resources into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Cross Timbers Royalty and Tamboran Resources, you can compare the effects of market volatilities on Cross Timbers and Tamboran Resources 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 Cross Timbers with a short position of Tamboran Resources. Check out your portfolio center. Please also check ongoing floating volatility patterns of Cross Timbers and Tamboran Resources.
Diversification Opportunities for Cross Timbers and Tamboran Resources
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Cross and Tamboran is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding Cross Timbers Royalty and Tamboran Resources in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Tamboran Resources and Cross Timbers 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 Cross Timbers Royalty are associated (or correlated) with Tamboran Resources. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Tamboran Resources has no effect on the direction of Cross Timbers i.e., Cross Timbers and Tamboran Resources go up and down completely randomly.
Pair Corralation between Cross Timbers and Tamboran Resources
Considering the 90-day investment horizon Cross Timbers Royalty is expected to generate 0.31 times more return on investment than Tamboran Resources. However, Cross Timbers Royalty is 3.24 times less risky than Tamboran Resources. It trades about 0.11 of its potential returns per unit of risk. Tamboran Resources is currently generating about -0.12 per unit of risk. If you would invest 1,038 in Cross Timbers Royalty on December 10, 2024 and sell it today you would earn a total of 36.00 from holding Cross Timbers Royalty or generate 3.47% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Cross Timbers Royalty vs. Tamboran Resources
Performance |
Timeline |
Cross Timbers Royalty |
Tamboran Resources |
Cross Timbers and Tamboran Resources Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Cross Timbers and Tamboran Resources
The main advantage of trading using opposite Cross Timbers and Tamboran Resources positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Cross Timbers position performs unexpectedly, Tamboran Resources 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 Tamboran Resources will offset losses from the drop in Tamboran Resources' long position.Cross Timbers vs. Sabine Royalty Trust | Cross Timbers vs. Mesa Royalty Trust | Cross Timbers vs. San Juan Basin | Cross Timbers vs. Permian Basin Royalty |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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