Correlation Between Probe Metals and Robex Resources
Can any of the company-specific risk be diversified away by investing in both Probe Metals and Robex Resources 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 Probe Metals and Robex Resources into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Probe Metals and Robex Resources, you can compare the effects of market volatilities on Probe Metals and Robex Resources 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 Probe Metals with a short position of Robex Resources. Check out your portfolio center. Please also check ongoing floating volatility patterns of Probe Metals and Robex Resources.
Diversification Opportunities for Probe Metals and Robex Resources
0.55 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Probe and Robex is 0.55. Overlapping area represents the amount of risk that can be diversified away by holding Probe Metals and Robex Resources in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Robex Resources and Probe Metals 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 Probe Metals are associated (or correlated) with Robex Resources. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Robex Resources has no effect on the direction of Probe Metals i.e., Probe Metals and Robex Resources go up and down completely randomly.
Pair Corralation between Probe Metals and Robex Resources
Assuming the 90 days horizon Probe Metals is expected to generate 1.08 times less return on investment than Robex Resources. In addition to that, Probe Metals is 1.07 times more volatile than Robex Resources. It trades about 0.06 of its total potential returns per unit of risk. Robex Resources is currently generating about 0.07 per unit of volatility. If you would invest 223.00 in Robex Resources on May 17, 2025 and sell it today you would earn a total of 22.00 from holding Robex Resources or generate 9.87% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 98.39% |
Values | Daily Returns |
Probe Metals vs. Robex Resources
Performance |
Timeline |
Probe Metals |
Robex Resources |
Probe Metals and Robex Resources Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Probe Metals and Robex Resources
The main advantage of trading using opposite Probe Metals and Robex Resources positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Probe Metals position performs unexpectedly, Robex Resources 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 Robex Resources will offset losses from the drop in Robex Resources' long position.Probe Metals vs. Vior Inc | Probe Metals vs. Norsemont Mining | Probe Metals vs. Newcore Gold | Probe Metals vs. Lion One Metals |
Robex Resources vs. Orefinders Resources | Robex Resources vs. Silver Viper Minerals | Robex Resources vs. Gold Reserve | Robex Resources vs. Cabral Gold |
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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