Correlation Between Ford and Energy Focu
Can any of the company-specific risk be diversified away by investing in both Ford and Energy Focu 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 Ford and Energy Focu into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and Energy Focu, you can compare the effects of market volatilities on Ford and Energy Focu 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 Ford with a short position of Energy Focu. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and Energy Focu.
Diversification Opportunities for Ford and Energy Focu
0.19 | Correlation Coefficient |
Average diversification
The 3 months correlation between Ford and Energy is 0.19. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and Energy Focu in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Energy Focu and Ford 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 Ford Motor are associated (or correlated) with Energy Focu. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Energy Focu has no effect on the direction of Ford i.e., Ford and Energy Focu go up and down completely randomly.
Pair Corralation between Ford and Energy Focu
Given the investment horizon of 90 days Ford is expected to generate 1.67 times less return on investment than Energy Focu. But when comparing it to its historical volatility, Ford Motor is 6.38 times less risky than Energy Focu. It trades about 0.03 of its potential returns per unit of risk. Energy Focu is currently generating about 0.01 of returns per unit of risk over similar time horizon. If you would invest 249.00 in Energy Focu on August 26, 2024 and sell it today you would lose (124.00) from holding Energy Focu or give up 49.8% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Ford Motor vs. Energy Focu
Performance |
| Timeline |
| Ford Motor |
| Energy Focu |
Ford and Energy Focu Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Ford and Energy Focu
The main advantage of trading using opposite Ford and Energy Focu positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, Energy Focu 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 Focu will offset losses from the drop in Energy Focu's long position.The idea behind Ford Motor and Energy Focu 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 Focu vs. Petros Pharmaceuticals | Energy Focu vs. Pioneer Power Solutions | Energy Focu vs. Ensysce Biosciences |
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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