Correlation Between Ford and Green Dot
Can any of the company-specific risk be diversified away by investing in both Ford and Green Dot 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 Green Dot into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and Green Dot, you can compare the effects of market volatilities on Ford and Green Dot 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 Green Dot. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and Green Dot.
Diversification Opportunities for Ford and Green Dot
Significant diversification
The 3 months correlation between Ford and Green is 0.04. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and Green Dot in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Green Dot 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 Green Dot. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Green Dot has no effect on the direction of Ford i.e., Ford and Green Dot go up and down completely randomly.
Pair Corralation between Ford and Green Dot
Taking into account the 90-day investment horizon Ford Motor is expected to generate 0.67 times more return on investment than Green Dot. However, Ford Motor is 1.49 times less risky than Green Dot. It trades about 0.01 of its potential returns per unit of risk. Green Dot is currently generating about -0.02 per unit of risk. If you would invest 1,111 in Ford Motor on August 27, 2024 and sell it today you would earn a total of 7.00 from holding Ford Motor or generate 0.63% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Ford Motor vs. Green Dot
Performance |
| Timeline |
| Ford Motor |
| Green Dot |
Ford and Green Dot Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Ford and Green Dot
The main advantage of trading using opposite Ford and Green Dot positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, Green Dot 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 Green Dot will offset losses from the drop in Green Dot's long position.The idea behind Ford Motor and Green Dot 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.| Green Dot vs. Guidewire Software | Green Dot vs. Envestnet | Green Dot vs. Evertec | Green Dot vs. Axos Financial |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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