Correlation Between Ford and Femasys
Can any of the company-specific risk be diversified away by investing in both Ford and Femasys 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 Femasys into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and Femasys, you can compare the effects of market volatilities on Ford and Femasys 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 Femasys. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and Femasys.
Diversification Opportunities for Ford and Femasys
Very good diversification
The 3 months correlation between Ford and Femasys is -0.34. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and Femasys in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Femasys 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 Femasys. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Femasys has no effect on the direction of Ford i.e., Ford and Femasys go up and down completely randomly.
Pair Corralation between Ford and Femasys
Taking into account the 90-day investment horizon Ford Motor is expected to under-perform the Femasys. But the stock apears to be less risky and, when comparing its historical volatility, Ford Motor is 2.48 times less risky than Femasys. The stock trades about -0.01 of its potential returns per unit of risk. The Femasys is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 94.00 in Femasys on November 9, 2024 and sell it today you would earn a total of 24.00 from holding Femasys or generate 25.53% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Ford Motor vs. Femasys
Performance |
| Timeline |
| Ford Motor |
| Femasys |
Ford and Femasys Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Ford and Femasys
The main advantage of trading using opposite Ford and Femasys positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, Femasys 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 Femasys will offset losses from the drop in Femasys' long position.The idea behind Ford Motor and Femasys 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.| Femasys vs. Precision Optics, | Femasys vs. Repro Med Systems | Femasys vs. InfuSystems Holdings | Femasys vs. Utah Medical Products |
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 Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
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