Correlation Between Meta Platforms and Ford
Can any of the company-specific risk be diversified away by investing in both Meta Platforms and Ford 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 Meta Platforms and Ford into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Meta Platforms and Ford Motor, you can compare the effects of market volatilities on Meta Platforms and Ford 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 Meta Platforms with a short position of Ford. Check out your portfolio center. Please also check ongoing floating volatility patterns of Meta Platforms and Ford.
Diversification Opportunities for Meta Platforms and Ford
-0.02 | Correlation Coefficient |
Good diversification
The 3 months correlation between Meta and Ford is -0.02. Overlapping area represents the amount of risk that can be diversified away by holding Meta Platforms and Ford Motor in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ford Motor and Meta Platforms 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 Meta Platforms are associated (or correlated) with Ford. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ford Motor has no effect on the direction of Meta Platforms i.e., Meta Platforms and Ford go up and down completely randomly.
Pair Corralation between Meta Platforms and Ford
Given the investment horizon of 90 days Meta Platforms is expected to under-perform the Ford. But the stock apears to be less risky and, when comparing its historical volatility, Meta Platforms is 1.57 times less risky than Ford. The stock trades about -0.06 of its potential returns per unit of risk. The Ford Motor is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 1,092 in Ford Motor on August 26, 2024 and sell it today you would earn a total of 26.00 from holding Ford Motor or generate 2.38% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Meta Platforms vs. Ford Motor
Performance |
| Timeline |
| Meta Platforms |
| Ford Motor |
Meta Platforms and Ford Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Meta Platforms and Ford
The main advantage of trading using opposite Meta Platforms and Ford positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Meta Platforms position performs unexpectedly, Ford 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 Ford will offset losses from the drop in Ford's long position.| Meta Platforms vs. Alphabet Inc Class A | Meta Platforms vs. Twilio Inc | Meta Platforms vs. Snap Inc | Meta Platforms vs. Baidu Inc |
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 Sign In To Macroaxis module to sign in to explore Macroaxis' wealth optimization platform and fintech modules.
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