Correlation Between East Africa and RBC Bearings
Can any of the company-specific risk be diversified away by investing in both East Africa 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 East Africa and RBC Bearings into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between East Africa Metals and RBC Bearings Incorporated, you can compare the effects of market volatilities on East Africa 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 East Africa with a short position of RBC Bearings. Check out your portfolio center. Please also check ongoing floating volatility patterns of East Africa and RBC Bearings.
Diversification Opportunities for East Africa and RBC Bearings
-0.28 | Correlation Coefficient |
Very good diversification
The 3 months correlation between East and RBC is -0.28. Overlapping area represents the amount of risk that can be diversified away by holding East Africa Metals and RBC Bearings Incorporated in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on RBC Bearings and East Africa 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 East Africa Metals 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 East Africa i.e., East Africa and RBC Bearings go up and down completely randomly.
Pair Corralation between East Africa and RBC Bearings
Assuming the 90 days horizon East Africa Metals is expected to generate 39.55 times more return on investment than RBC Bearings. However, East Africa is 39.55 times more volatile than RBC Bearings Incorporated. It trades about 0.08 of its potential returns per unit of risk. RBC Bearings Incorporated is currently generating about 0.06 per unit of risk. If you would invest 18.00 in East Africa Metals on September 20, 2024 and sell it today you would lose (7.00) from holding East Africa Metals or give up 38.89% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
East Africa Metals vs. RBC Bearings Incorporated
Performance |
Timeline |
East Africa Metals |
RBC Bearings |
East Africa and RBC Bearings Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with East Africa and RBC Bearings
The main advantage of trading using opposite East Africa and RBC Bearings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if East Africa 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.East Africa vs. Advantage Solutions | East Africa vs. Atlas Corp | East Africa vs. PureCycle Technologies | East Africa vs. WM Technology |
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 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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