Correlation Between Excelsior Mining and GreenPower
Can any of the company-specific risk be diversified away by investing in both Excelsior Mining and GreenPower 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 Excelsior Mining and GreenPower into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Excelsior Mining Corp and GreenPower Motor, you can compare the effects of market volatilities on Excelsior Mining and GreenPower 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 Excelsior Mining with a short position of GreenPower. Check out your portfolio center. Please also check ongoing floating volatility patterns of Excelsior Mining and GreenPower.
Diversification Opportunities for Excelsior Mining and GreenPower
-0.27 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Excelsior and GreenPower is -0.27. Overlapping area represents the amount of risk that can be diversified away by holding Excelsior Mining Corp and GreenPower Motor in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GreenPower Motor and Excelsior Mining 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 Excelsior Mining Corp are associated (or correlated) with GreenPower. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GreenPower Motor has no effect on the direction of Excelsior Mining i.e., Excelsior Mining and GreenPower go up and down completely randomly.
Pair Corralation between Excelsior Mining and GreenPower
Assuming the 90 days trading horizon Excelsior Mining Corp is expected to generate 1.16 times more return on investment than GreenPower. However, Excelsior Mining is 1.16 times more volatile than GreenPower Motor. It trades about 0.07 of its potential returns per unit of risk. GreenPower Motor is currently generating about 0.06 per unit of risk. If you would invest 15.00 in Excelsior Mining Corp on September 5, 2024 and sell it today you would earn a total of 3.00 from holding Excelsior Mining Corp or generate 20.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.44% |
Values | Daily Returns |
Excelsior Mining Corp vs. GreenPower Motor
Performance |
Timeline |
Excelsior Mining Corp |
GreenPower Motor |
Excelsior Mining and GreenPower Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Excelsior Mining and GreenPower
The main advantage of trading using opposite Excelsior Mining and GreenPower positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Excelsior Mining position performs unexpectedly, GreenPower 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 GreenPower will offset losses from the drop in GreenPower's long position.Excelsior Mining vs. RTG Mining | Excelsior Mining vs. Nubian Resources | Excelsior Mining vs. Fremont Gold | Excelsior Mining vs. Royal Road Minerals |
GreenPower vs. NFI Group | GreenPower vs. Docebo Inc | GreenPower vs. WELL Health Technologies | GreenPower vs. Dye Durham |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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