Correlation Between Energy Fuels and Sprott Physical
Can any of the company-specific risk be diversified away by investing in both Energy Fuels and Sprott Physical 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 Energy Fuels and Sprott Physical into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Energy Fuels and Sprott Physical Uranium, you can compare the effects of market volatilities on Energy Fuels and Sprott Physical 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 Energy Fuels with a short position of Sprott Physical. Check out your portfolio center. Please also check ongoing floating volatility patterns of Energy Fuels and Sprott Physical.
Diversification Opportunities for Energy Fuels and Sprott Physical
0.88 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Energy and Sprott is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding Energy Fuels and Sprott Physical Uranium in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sprott Physical Uranium and Energy Fuels 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 Energy Fuels are associated (or correlated) with Sprott Physical. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sprott Physical Uranium has no effect on the direction of Energy Fuels i.e., Energy Fuels and Sprott Physical go up and down completely randomly.
Pair Corralation between Energy Fuels and Sprott Physical
Given the investment horizon of 90 days Energy Fuels is expected to generate 1.5 times more return on investment than Sprott Physical. However, Energy Fuels is 1.5 times more volatile than Sprott Physical Uranium. It trades about -0.02 of its potential returns per unit of risk. Sprott Physical Uranium is currently generating about -0.11 per unit of risk. If you would invest 558.00 in Energy Fuels on January 19, 2025 and sell it today you would lose (63.00) from holding Energy Fuels or give up 11.29% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Energy Fuels vs. Sprott Physical Uranium
Performance |
Timeline |
Energy Fuels |
Sprott Physical Uranium |
Energy Fuels and Sprott Physical Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Energy Fuels and Sprott Physical
The main advantage of trading using opposite Energy Fuels and Sprott Physical positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Energy Fuels position performs unexpectedly, Sprott Physical 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 Sprott Physical will offset losses from the drop in Sprott Physical's long position.Energy Fuels vs. Uranium Energy Corp | Energy Fuels vs. Denison Mines Corp | Energy Fuels vs. Ur Energy | Energy Fuels vs. NexGen Energy |
Sprott Physical vs. Denison Mines Corp | Sprott Physical vs. Energy Fuels | Sprott Physical vs. enCore Energy Corp | Sprott Physical vs. Ur 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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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