Correlation Between Globex Mining and CanSino Biologics
Can any of the company-specific risk be diversified away by investing in both Globex 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 Globex 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 Globex Mining Enterprises and CanSino Biologics, you can compare the effects of market volatilities on Globex 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 Globex Mining with a short position of CanSino Biologics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Globex Mining and CanSino Biologics.
Diversification Opportunities for Globex Mining and CanSino Biologics
0.09 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Globex and CanSino is 0.09. Overlapping area represents the amount of risk that can be diversified away by holding Globex Mining Enterprises and CanSino Biologics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CanSino Biologics and Globex 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 Globex Mining Enterprises 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 Globex Mining i.e., Globex Mining and CanSino Biologics go up and down completely randomly.
Pair Corralation between Globex Mining and CanSino Biologics
Assuming the 90 days trading horizon Globex Mining Enterprises is expected to generate 0.5 times more return on investment than CanSino Biologics. However, Globex Mining Enterprises is 2.02 times less risky than CanSino Biologics. It trades about 0.46 of its potential returns per unit of risk. CanSino Biologics is currently generating about -0.09 per unit of risk. If you would invest 76.00 in Globex Mining Enterprises on October 24, 2024 and sell it today you would earn a total of 12.00 from holding Globex Mining Enterprises or generate 15.79% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Globex Mining Enterprises vs. CanSino Biologics
Performance |
Timeline |
Globex Mining Enterprises |
CanSino Biologics |
Globex Mining and CanSino Biologics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Globex Mining and CanSino Biologics
The main advantage of trading using opposite Globex Mining and CanSino Biologics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Globex 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.Globex Mining vs. UPDATE SOFTWARE | Globex Mining vs. Applied Materials | Globex Mining vs. Micron Technology | Globex Mining vs. Mitsubishi Materials |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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