Correlation Between Ford and RBC Bearings
Can any of the company-specific risk be diversified away by investing in both Ford and RBC Bearings 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 RBC Bearings into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ford Motor and RBC Bearings Incorporated, you can compare the effects of market volatilities on Ford and RBC Bearings 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 RBC Bearings. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ford and RBC Bearings.
Diversification Opportunities for Ford and RBC Bearings
0.67 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Ford and RBC is 0.67. Overlapping area represents the amount of risk that can be diversified away by holding Ford Motor and RBC Bearings Incorporated in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on RBC Bearings 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 RBC Bearings. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of RBC Bearings has no effect on the direction of Ford i.e., Ford and RBC Bearings go up and down completely randomly.
Pair Corralation between Ford and RBC Bearings
Taking into account the 90-day investment horizon Ford is expected to generate 2.0 times less return on investment than RBC Bearings. In addition to that, Ford is 1.3 times more volatile than RBC Bearings Incorporated. It trades about 0.03 of its total potential returns per unit of risk. RBC Bearings Incorporated is currently generating about 0.07 per unit of volatility. If you would invest 23,800 in RBC Bearings Incorporated on September 2, 2024 and sell it today you would earn a total of 8,200 from holding RBC Bearings Incorporated or generate 34.45% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 98.41% |
| Values | Daily Returns |
Ford Motor vs. RBC Bearings Incorporated
Performance |
| Timeline |
| Ford Motor |
| RBC Bearings |
Ford and RBC Bearings Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Ford and RBC Bearings
The main advantage of trading using opposite Ford and RBC Bearings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ford position performs unexpectedly, RBC Bearings 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 RBC Bearings will offset losses from the drop in RBC Bearings' long position.The idea behind Ford Motor and RBC Bearings Incorporated 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.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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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