Correlation Between Marine Products and RBC Bearings
Can any of the company-specific risk be diversified away by investing in both Marine Products 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 Marine Products and RBC Bearings into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Marine Products and RBC Bearings Incorporated, you can compare the effects of market volatilities on Marine Products 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 Marine Products with a short position of RBC Bearings. Check out your portfolio center. Please also check ongoing floating volatility patterns of Marine Products and RBC Bearings.
Diversification Opportunities for Marine Products and RBC Bearings
0.73 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Marine and RBC is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding Marine Products and RBC Bearings Incorporated in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on RBC Bearings and Marine Products 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 Marine Products 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 Marine Products i.e., Marine Products and RBC Bearings go up and down completely randomly.
Pair Corralation between Marine Products and RBC Bearings
Considering the 90-day investment horizon Marine Products is expected to under-perform the RBC Bearings. In addition to that, Marine Products is 1.55 times more volatile than RBC Bearings Incorporated. It trades about -0.02 of its total potential returns per unit of risk. RBC Bearings Incorporated is currently generating about 0.03 per unit of volatility. If you would invest 28,625 in RBC Bearings Incorporated on September 20, 2024 and sell it today you would earn a total of 2,587 from holding RBC Bearings Incorporated or generate 9.04% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 99.6% |
Values | Daily Returns |
Marine Products vs. RBC Bearings Incorporated
Performance |
Timeline |
Marine Products |
RBC Bearings |
Marine Products and RBC Bearings Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Marine Products and RBC Bearings
The main advantage of trading using opposite Marine Products and RBC Bearings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Marine Products 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.Marine Products vs. Clarus Corp | Marine Products vs. OneSpaWorld Holdings | Marine Products vs. Leatt Corp | Marine Products vs. Six Flags Entertainment |
RBC Bearings vs. Lincoln Electric Holdings | RBC Bearings vs. Toro Co | RBC Bearings vs. Timken Company | RBC Bearings vs. Eastern Co |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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