Correlation Between Evolution Mining and CanSino Biologics
Can any of the company-specific risk be diversified away by investing in both Evolution Mining and CanSino Biologics 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 Evolution Mining and CanSino Biologics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Evolution Mining Limited and CanSino Biologics, you can compare the effects of market volatilities on Evolution Mining and CanSino Biologics 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 Evolution Mining with a short position of CanSino Biologics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Evolution Mining and CanSino Biologics.
Diversification Opportunities for Evolution Mining and CanSino Biologics
-0.23 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Evolution and CanSino is -0.23. Overlapping area represents the amount of risk that can be diversified away by holding Evolution Mining Limited and CanSino Biologics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CanSino Biologics and Evolution 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 Evolution Mining Limited are associated (or correlated) with CanSino Biologics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CanSino Biologics has no effect on the direction of Evolution Mining i.e., Evolution Mining and CanSino Biologics go up and down completely randomly.
Pair Corralation between Evolution Mining and CanSino Biologics
Assuming the 90 days horizon Evolution Mining Limited is expected to under-perform the CanSino Biologics. In addition to that, Evolution Mining is 1.0 times more volatile than CanSino Biologics. It trades about -0.03 of its total potential returns per unit of risk. CanSino Biologics is currently generating about 0.13 per unit of volatility. If you would invest 344.00 in CanSino Biologics on April 23, 2025 and sell it today you would earn a total of 79.00 from holding CanSino Biologics or generate 22.97% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Evolution Mining Limited vs. CanSino Biologics
Performance |
Timeline |
Evolution Mining |
CanSino Biologics |
Evolution Mining and CanSino Biologics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Evolution Mining and CanSino Biologics
The main advantage of trading using opposite Evolution Mining and CanSino Biologics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Evolution Mining position performs unexpectedly, CanSino Biologics 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 CanSino Biologics will offset losses from the drop in CanSino Biologics' long position.Evolution Mining vs. ZIJIN MINH UNSPADR20 | Evolution Mining vs. Newmont | Evolution Mining vs. Agnico Eagle Mines | Evolution Mining vs. Wheaton Precious Metals |
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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 Valuation module to check real value of public entities based on technical and fundamental data.
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