Correlation Between Globe Metals and GreenX Metals
Can any of the company-specific risk be diversified away by investing in both Globe Metals and GreenX Metals 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 Globe Metals and GreenX Metals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Globe Metals Mining and GreenX Metals, you can compare the effects of market volatilities on Globe Metals and GreenX Metals 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 Globe Metals with a short position of GreenX Metals. Check out your portfolio center. Please also check ongoing floating volatility patterns of Globe Metals and GreenX Metals.
Diversification Opportunities for Globe Metals and GreenX Metals
-0.38 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Globe and GreenX is -0.38. Overlapping area represents the amount of risk that can be diversified away by holding Globe Metals Mining and GreenX Metals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GreenX Metals and Globe 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 Globe Metals Mining are associated (or correlated) with GreenX Metals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GreenX Metals has no effect on the direction of Globe Metals i.e., Globe Metals and GreenX Metals go up and down completely randomly.
Pair Corralation between Globe Metals and GreenX Metals
Assuming the 90 days trading horizon Globe Metals Mining is expected to generate 1.26 times more return on investment than GreenX Metals. However, Globe Metals is 1.26 times more volatile than GreenX Metals. It trades about 0.03 of its potential returns per unit of risk. GreenX Metals is currently generating about 0.02 per unit of risk. If you would invest 4.10 in Globe Metals Mining on September 22, 2024 and sell it today you would earn a total of 0.10 from holding Globe Metals Mining or generate 2.44% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Globe Metals Mining vs. GreenX Metals
Performance |
Timeline |
Globe Metals Mining |
GreenX Metals |
Globe Metals and GreenX Metals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Globe Metals and GreenX Metals
The main advantage of trading using opposite Globe Metals and GreenX Metals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Globe Metals position performs unexpectedly, GreenX Metals 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 GreenX Metals will offset losses from the drop in GreenX Metals' long position.Globe Metals vs. Ainsworth Game Technology | Globe Metals vs. Richmond Vanadium Technology | Globe Metals vs. EVE Health Group | Globe Metals vs. Green Technology Metals |
GreenX Metals vs. Perseus Mining | GreenX Metals vs. Globe Metals Mining | GreenX Metals vs. Andean Silver Limited | GreenX Metals vs. Pinnacle Investment Management |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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