Correlation Between Ford and Futuris
Can any of the company-specific risk be diversified away by investing in both Ford and Futuris 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 Futuris into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and Futuris Company, you can compare the effects of market volatilities on Ford and Futuris 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 Futuris. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and Futuris.
Diversification Opportunities for Ford and Futuris
Weak diversification
The 3 months correlation between Ford and Futuris is 0.38. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and Futuris Company in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Futuris Company 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 Futuris. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Futuris Company has no effect on the direction of Ford i.e., Ford and Futuris go up and down completely randomly.
Pair Corralation between Ford and Futuris
Taking into account the 90-day investment horizon Ford Motor is expected to under-perform the Futuris. But the stock apears to be less risky and, when comparing its historical volatility, Ford Motor is 3.39 times less risky than Futuris. The stock trades about 0.0 of its potential returns per unit of risk. The Futuris Company is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 1.80 in Futuris Company on August 29, 2024 and sell it today you would lose (0.10) from holding Futuris Company or give up 5.56% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Ford Motor vs. Futuris Company
Performance |
| Timeline |
| Ford Motor |
| Futuris Company |
Ford and Futuris Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Ford and Futuris
The main advantage of trading using opposite Ford and Futuris positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, Futuris 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 Futuris will offset losses from the drop in Futuris' long position.The idea behind Ford Motor and Futuris Company 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.| Futuris vs. Hire Technologies | Futuris vs. Trucept | Futuris vs. Randstad Holdings NV | Futuris vs. The Caldwell Partners |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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