Correlation Between Infinico Metals and Group Eleven
Can any of the company-specific risk be diversified away by investing in both Infinico Metals and Group Eleven 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 Infinico Metals and Group Eleven into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Infinico Metals Corp and Group Eleven Resources, you can compare the effects of market volatilities on Infinico Metals and Group Eleven 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 Infinico Metals with a short position of Group Eleven. Check out your portfolio center. Please also check ongoing floating volatility patterns of Infinico Metals and Group Eleven.
Diversification Opportunities for Infinico Metals and Group Eleven
-0.3 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Infinico and Group is -0.3. Overlapping area represents the amount of risk that can be diversified away by holding Infinico Metals Corp and Group Eleven Resources in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Group Eleven Resources and Infinico 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 Infinico Metals Corp are associated (or correlated) with Group Eleven. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Group Eleven Resources has no effect on the direction of Infinico Metals i.e., Infinico Metals and Group Eleven go up and down completely randomly.
Pair Corralation between Infinico Metals and Group Eleven
Assuming the 90 days trading horizon Infinico Metals Corp is expected to generate 4.48 times more return on investment than Group Eleven. However, Infinico Metals is 4.48 times more volatile than Group Eleven Resources. It trades about 0.17 of its potential returns per unit of risk. Group Eleven Resources is currently generating about 0.17 per unit of risk. If you would invest 0.50 in Infinico Metals Corp on April 24, 2025 and sell it today you would earn a total of 0.50 from holding Infinico Metals Corp or generate 100.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Infinico Metals Corp vs. Group Eleven Resources
Performance |
Timeline |
Infinico Metals Corp |
Group Eleven Resources |
Infinico Metals and Group Eleven Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Infinico Metals and Group Eleven
The main advantage of trading using opposite Infinico Metals and Group Eleven positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Infinico Metals position performs unexpectedly, Group Eleven 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 Group Eleven will offset losses from the drop in Group Eleven's long position.Infinico Metals vs. Gold Springs Resource | Infinico Metals vs. Kesselrun Resources | Infinico Metals vs. Kermode Resources | Infinico Metals vs. Kore Mining |
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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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