Correlation Between Tinka Resources and Group Eleven
Can any of the company-specific risk be diversified away by investing in both Tinka Resources 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 Tinka Resources and Group Eleven into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Tinka Resources Limited and Group Eleven Resources, you can compare the effects of market volatilities on Tinka Resources 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 Tinka Resources with a short position of Group Eleven. Check out your portfolio center. Please also check ongoing floating volatility patterns of Tinka Resources and Group Eleven.
Diversification Opportunities for Tinka Resources and Group Eleven
0.45 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Tinka and Group is 0.45. Overlapping area represents the amount of risk that can be diversified away by holding Tinka Resources Limited 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 Tinka Resources 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 Tinka Resources Limited 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 Tinka Resources i.e., Tinka Resources and Group Eleven go up and down completely randomly.
Pair Corralation between Tinka Resources and Group Eleven
Assuming the 90 days horizon Tinka Resources Limited is expected to under-perform the Group Eleven. But the otc stock apears to be less risky and, when comparing its historical volatility, Tinka Resources Limited is 1.08 times less risky than Group Eleven. The otc stock trades about -0.02 of its potential returns per unit of risk. The Group Eleven Resources is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 12.00 in Group Eleven Resources on September 1, 2024 and sell it today you would earn a total of 1.00 from holding Group Eleven Resources or generate 8.33% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 97.67% |
Values | Daily Returns |
Tinka Resources Limited vs. Group Eleven Resources
Performance |
Timeline |
Tinka Resources |
Group Eleven Resources |
Tinka Resources and Group Eleven Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Tinka Resources and Group Eleven
The main advantage of trading using opposite Tinka Resources and Group Eleven positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Tinka Resources 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.Tinka Resources vs. Pampa Metals | Tinka Resources vs. Progressive Planet Solutions | Tinka Resources vs. Searchlight Resources | Tinka Resources vs. Durango Resources |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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