Correlation Between GM and Energy Fuels
Can any of the company-specific risk be diversified away by investing in both GM 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 GM and Energy Fuels into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and Energy Fuels, you can compare the effects of market volatilities on GM 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 GM with a short position of Energy Fuels. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Energy Fuels.
Diversification Opportunities for GM and Energy Fuels
0.79 | Correlation Coefficient |
Poor diversification
The 3 months correlation between GM and Energy is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Energy Fuels in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Energy Fuels and GM 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 General Motors 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 GM i.e., GM and Energy Fuels go up and down completely randomly.
Pair Corralation between GM and Energy Fuels
Allowing for the 90-day total investment horizon General Motors is expected to generate 1.19 times more return on investment than Energy Fuels. However, GM is 1.19 times more volatile than Energy Fuels. It trades about -0.12 of its potential returns per unit of risk. Energy Fuels is currently generating about -0.4 per unit of risk. If you would invest 5,612 in General Motors on September 17, 2024 and sell it today you would lose (388.00) from holding General Motors or give up 6.91% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 95.45% |
Values | Daily Returns |
General Motors vs. Energy Fuels
Performance |
Timeline |
General Motors |
Energy Fuels |
GM and Energy Fuels Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and Energy Fuels
The main advantage of trading using opposite GM and Energy Fuels positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM 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.The idea behind General Motors and Energy Fuels pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.Energy Fuels vs. Western Copper and | Energy Fuels vs. Altair Resources | Energy Fuels vs. Caribbean Utilities | Energy Fuels vs. Metalero Mining Corp |
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 Money Managers module to screen money managers from public funds and ETFs managed around the world.
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