Correlation Between Ford and Mobix Labs
Can any of the company-specific risk be diversified away by investing in both Ford and Mobix Labs 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 Mobix Labs into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and Mobix Labs, you can compare the effects of market volatilities on Ford and Mobix Labs 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 Mobix Labs. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and Mobix Labs.
Diversification Opportunities for Ford and Mobix Labs
-0.22 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Ford and Mobix is -0.22. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and Mobix Labs in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mobix Labs 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 Mobix Labs. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mobix Labs has no effect on the direction of Ford i.e., Ford and Mobix Labs go up and down completely randomly.
Pair Corralation between Ford and Mobix Labs
Taking into account the 90-day investment horizon Ford Motor is expected to generate 0.29 times more return on investment than Mobix Labs. However, Ford Motor is 3.41 times less risky than Mobix Labs. It trades about 0.0 of its potential returns per unit of risk. Mobix Labs is currently generating about -0.03 per unit of risk. If you would invest 1,236 in Ford Motor on August 31, 2024 and sell it today you would lose (123.00) from holding Ford Motor or give up 9.95% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Ford Motor vs. Mobix Labs
Performance |
| Timeline |
| Ford Motor |
| Mobix Labs |
Ford and Mobix Labs Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Ford and Mobix Labs
The main advantage of trading using opposite Ford and Mobix Labs positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, Mobix Labs 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 Mobix Labs will offset losses from the drop in Mobix Labs' long position.The idea behind Ford Motor and Mobix Labs 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.| Mobix Labs vs. Stepan Company | Mobix Labs vs. Highway Holdings Limited | Mobix Labs vs. Everspin Technologies | Mobix Labs vs. Parker Hannifin |
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 Idea Analyzer module to analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas.
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