Correlation Between Spectrum Brands and RBC Bearings
Can any of the company-specific risk be diversified away by investing in both Spectrum Brands 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 Spectrum Brands and RBC Bearings into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Spectrum Brands Holdings and RBC Bearings Incorporated, you can compare the effects of market volatilities on Spectrum Brands 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 Spectrum Brands with a short position of RBC Bearings. Check out your portfolio center. Please also check ongoing floating volatility patterns of Spectrum Brands and RBC Bearings.
Diversification Opportunities for Spectrum Brands and RBC Bearings
0.47 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Spectrum and RBC is 0.47. Overlapping area represents the amount of risk that can be diversified away by holding Spectrum Brands Holdings and RBC Bearings Incorporated in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on RBC Bearings and Spectrum Brands 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 Spectrum Brands Holdings 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 Spectrum Brands i.e., Spectrum Brands and RBC Bearings go up and down completely randomly.
Pair Corralation between Spectrum Brands and RBC Bearings
Considering the 90-day investment horizon Spectrum Brands Holdings is expected to under-perform the RBC Bearings. But the stock apears to be less risky and, when comparing its historical volatility, Spectrum Brands Holdings is 1.62 times less risky than RBC Bearings. The stock trades about -0.05 of its potential returns per unit of risk. The RBC Bearings Incorporated is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 30,393 in RBC Bearings Incorporated on October 27, 2024 and sell it today you would earn a total of 1,030 from holding RBC Bearings Incorporated or generate 3.39% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Spectrum Brands Holdings vs. RBC Bearings Incorporated
Performance |
Timeline |
Spectrum Brands Holdings |
RBC Bearings |
Spectrum Brands and RBC Bearings Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Spectrum Brands and RBC Bearings
The main advantage of trading using opposite Spectrum Brands and RBC Bearings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Spectrum Brands 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.Spectrum Brands vs. European Wax Center | Spectrum Brands vs. Inter Parfums | Spectrum Brands vs. Mannatech Incorporated | Spectrum Brands vs. Nu Skin Enterprises |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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