Correlation Between Bannerman Resources and NexGen Energy
Can any of the company-specific risk be diversified away by investing in both Bannerman Resources and NexGen 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 Bannerman Resources and NexGen Energy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bannerman Resources Limited and NexGen Energy, you can compare the effects of market volatilities on Bannerman Resources and NexGen 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 Bannerman Resources with a short position of NexGen Energy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bannerman Resources and NexGen Energy.
Diversification Opportunities for Bannerman Resources and NexGen Energy
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Bannerman and NexGen is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding Bannerman Resources Limited and NexGen Energy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NexGen Energy and Bannerman 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 Bannerman Resources Limited are associated (or correlated) with NexGen Energy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NexGen Energy has no effect on the direction of Bannerman Resources i.e., Bannerman Resources and NexGen Energy go up and down completely randomly.
Pair Corralation between Bannerman Resources and NexGen Energy
Assuming the 90 days horizon Bannerman Resources Limited is expected to generate 1.4 times more return on investment than NexGen Energy. However, Bannerman Resources is 1.4 times more volatile than NexGen Energy. It trades about 0.16 of its potential returns per unit of risk. NexGen Energy is currently generating about 0.17 per unit of risk. If you would invest 97.00 in Bannerman Resources Limited on April 21, 2025 and sell it today you would earn a total of 62.00 from holding Bannerman Resources Limited or generate 63.92% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Bannerman Resources Limited vs. NexGen Energy
Performance |
Timeline |
Bannerman Resources |
NexGen Energy |
Bannerman Resources and NexGen Energy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bannerman Resources and NexGen Energy
The main advantage of trading using opposite Bannerman Resources and NexGen Energy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bannerman Resources position performs unexpectedly, NexGen 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 NexGen Energy will offset losses from the drop in NexGen Energy's long position.Bannerman Resources vs. JSC National Atomic | Bannerman Resources vs. NexGen Energy | Bannerman Resources vs. Ur Energy | Bannerman Resources vs. URANIUM ROYALTY P |
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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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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