Correlation Between Ford and Everest Group
Can any of the company-specific risk be diversified away by investing in both Ford and Everest Group 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 Everest Group into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and Everest Group, you can compare the effects of market volatilities on Ford and Everest Group 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 Everest Group. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and Everest Group.
Diversification Opportunities for Ford and Everest Group
0.49 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Ford and Everest is 0.49. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and Everest Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Everest Group 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 Everest Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Everest Group has no effect on the direction of Ford i.e., Ford and Everest Group go up and down completely randomly.
Pair Corralation between Ford and Everest Group
Taking into account the 90-day investment horizon Ford Motor is expected to generate 1.16 times more return on investment than Everest Group. However, Ford is 1.16 times more volatile than Everest Group. It trades about 0.06 of its potential returns per unit of risk. Everest Group is currently generating about -0.03 per unit of risk. If you would invest 938.00 in Ford Motor on December 18, 2024 and sell it today you would earn a total of 54.00 from holding Ford Motor or generate 5.76% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Ford Motor vs. Everest Group
Performance |
Timeline |
Ford Motor |
Everest Group |
Ford and Everest Group Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Ford and Everest Group
The main advantage of trading using opposite Ford and Everest Group positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, Everest Group 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 Everest Group will offset losses from the drop in Everest Group's long position.The idea behind Ford Motor and Everest Group 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.Everest Group vs. Hastings Technology Metals | Everest Group vs. FRACTAL GAMING GROUP | Everest Group vs. ASURE SOFTWARE | Everest Group vs. PLAYMATES TOYS |
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 Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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