Correlation Between RCM Technologies and Africa Oil
Can any of the company-specific risk be diversified away by investing in both RCM Technologies and Africa Oil 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 RCM Technologies and Africa Oil into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between RCM Technologies and Africa Oil Corp, you can compare the effects of market volatilities on RCM Technologies and Africa Oil 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 RCM Technologies with a short position of Africa Oil. Check out your portfolio center. Please also check ongoing floating volatility patterns of RCM Technologies and Africa Oil.
Diversification Opportunities for RCM Technologies and Africa Oil
0.06 | Correlation Coefficient |
Significant diversification
The 3 months correlation between RCM and Africa is 0.06. Overlapping area represents the amount of risk that can be diversified away by holding RCM Technologies and Africa Oil Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Africa Oil Corp and RCM Technologies 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 RCM Technologies are associated (or correlated) with Africa Oil. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Africa Oil Corp has no effect on the direction of RCM Technologies i.e., RCM Technologies and Africa Oil go up and down completely randomly.
Pair Corralation between RCM Technologies and Africa Oil
Given the investment horizon of 90 days RCM Technologies is expected to generate 0.88 times more return on investment than Africa Oil. However, RCM Technologies is 1.14 times less risky than Africa Oil. It trades about 0.06 of its potential returns per unit of risk. Africa Oil Corp is currently generating about 0.01 per unit of risk. If you would invest 2,037 in RCM Technologies on September 23, 2024 and sell it today you would earn a total of 142.00 from holding RCM Technologies or generate 6.97% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
RCM Technologies vs. Africa Oil Corp
Performance |
Timeline |
RCM Technologies |
Africa Oil Corp |
RCM Technologies and Africa Oil Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with RCM Technologies and Africa Oil
The main advantage of trading using opposite RCM Technologies and Africa Oil positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if RCM Technologies position performs unexpectedly, Africa Oil 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 Africa Oil will offset losses from the drop in Africa Oil's long position.RCM Technologies vs. Matthews International | RCM Technologies vs. Mammoth Energy Services | RCM Technologies vs. Griffon | RCM Technologies vs. Steel Partners Holdings |
Africa Oil vs. Stamper Oil Gas | Africa Oil vs. Valeura Energy | Africa Oil vs. Invictus Energy Limited | Africa Oil vs. ConnectOne Bancorp |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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