Correlation Between Denison Mines and Energy Fuels
Can any of the company-specific risk be diversified away by investing in both Denison Mines and Energy Fuels 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 Denison Mines and Energy Fuels into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Denison Mines Corp and Energy Fuels, you can compare the effects of market volatilities on Denison Mines and Energy Fuels 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 Denison Mines with a short position of Energy Fuels. Check out your portfolio center. Please also check ongoing floating volatility patterns of Denison Mines and Energy Fuels.
Diversification Opportunities for Denison Mines and Energy Fuels
0.79 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Denison and Energy is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding Denison Mines Corp and Energy Fuels in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Energy Fuels and Denison Mines 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 Denison Mines Corp are associated (or correlated) with Energy Fuels. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Energy Fuels has no effect on the direction of Denison Mines i.e., Denison Mines and Energy Fuels go up and down completely randomly.
Pair Corralation between Denison Mines and Energy Fuels
Considering the 90-day investment horizon Denison Mines Corp is expected to generate 0.98 times more return on investment than Energy Fuels. However, Denison Mines Corp is 1.02 times less risky than Energy Fuels. It trades about 0.06 of its potential returns per unit of risk. Energy Fuels is currently generating about 0.02 per unit of risk. If you would invest 112.00 in Denison Mines Corp on August 24, 2024 and sell it today you would earn a total of 124.00 from holding Denison Mines Corp or generate 110.71% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Denison Mines Corp vs. Energy Fuels
Performance |
| Timeline |
| Denison Mines Corp |
| Energy Fuels |
Denison Mines and Energy Fuels Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Denison Mines and Energy Fuels
The main advantage of trading using opposite Denison Mines and Energy Fuels positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Denison Mines position performs unexpectedly, Energy Fuels 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 Energy Fuels will offset losses from the drop in Energy Fuels' long position.| Denison Mines vs. Energy Fuels | Denison Mines vs. enCore Energy Corp | Denison Mines vs. Ur Energy | Denison Mines vs. Cameco Corp |
| Energy Fuels vs. Uranium Energy Corp | Energy Fuels vs. Denison Mines Corp | Energy Fuels vs. Ur Energy | Energy Fuels vs. NexGen Energy |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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