Correlation Between RCI Hospitality and Impala Platinum
Can any of the company-specific risk be diversified away by investing in both RCI Hospitality and Impala Platinum 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 RCI Hospitality and Impala Platinum into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between RCI Hospitality Holdings and Impala Platinum Holdings, you can compare the effects of market volatilities on RCI Hospitality and Impala Platinum 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 RCI Hospitality with a short position of Impala Platinum. Check out your portfolio center. Please also check ongoing floating volatility patterns of RCI Hospitality and Impala Platinum.
Diversification Opportunities for RCI Hospitality and Impala Platinum
-0.54 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between RCI and Impala is -0.54. Overlapping area represents the amount of risk that can be diversified away by holding RCI Hospitality Holdings and Impala Platinum Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Impala Platinum Holdings and RCI Hospitality 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 RCI Hospitality Holdings are associated (or correlated) with Impala Platinum. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Impala Platinum Holdings has no effect on the direction of RCI Hospitality i.e., RCI Hospitality and Impala Platinum go up and down completely randomly.
Pair Corralation between RCI Hospitality and Impala Platinum
Assuming the 90 days trading horizon RCI Hospitality is expected to generate 70.07 times less return on investment than Impala Platinum. But when comparing it to its historical volatility, RCI Hospitality Holdings is 1.49 times less risky than Impala Platinum. It trades about 0.0 of its potential returns per unit of risk. Impala Platinum Holdings is currently generating about 0.2 of returns per unit of risk over similar time horizon. If you would invest 580.00 in Impala Platinum Holdings on April 20, 2025 and sell it today you would earn a total of 286.00 from holding Impala Platinum Holdings or generate 49.31% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 98.44% |
Values | Daily Returns |
RCI Hospitality Holdings vs. Impala Platinum Holdings
Performance |
Timeline |
RCI Hospitality Holdings |
Impala Platinum Holdings |
RCI Hospitality and Impala Platinum Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with RCI Hospitality and Impala Platinum
The main advantage of trading using opposite RCI Hospitality and Impala Platinum positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if RCI Hospitality position performs unexpectedly, Impala Platinum 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 Impala Platinum will offset losses from the drop in Impala Platinum's long position.RCI Hospitality vs. Apple Inc | RCI Hospitality vs. Apple Inc | RCI Hospitality vs. Apple Inc | RCI Hospitality vs. Apple Inc |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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