Correlation Between GreenX Metals and Livermore Investments
Can any of the company-specific risk be diversified away by investing in both GreenX Metals and Livermore Investments 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 GreenX Metals and Livermore Investments into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between GreenX Metals and Livermore Investments Group, you can compare the effects of market volatilities on GreenX Metals and Livermore Investments 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 GreenX Metals with a short position of Livermore Investments. Check out your portfolio center. Please also check ongoing floating volatility patterns of GreenX Metals and Livermore Investments.
Diversification Opportunities for GreenX Metals and Livermore Investments
-0.48 | Correlation Coefficient |
Very good diversification
The 3 months correlation between GreenX and Livermore is -0.48. Overlapping area represents the amount of risk that can be diversified away by holding GreenX Metals and Livermore Investments Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Livermore Investments and GreenX 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 GreenX Metals are associated (or correlated) with Livermore Investments. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Livermore Investments has no effect on the direction of GreenX Metals i.e., GreenX Metals and Livermore Investments go up and down completely randomly.
Pair Corralation between GreenX Metals and Livermore Investments
Assuming the 90 days trading horizon GreenX Metals is expected to under-perform the Livermore Investments. In addition to that, GreenX Metals is 1.25 times more volatile than Livermore Investments Group. It trades about -0.02 of its total potential returns per unit of risk. Livermore Investments Group is currently generating about 0.07 per unit of volatility. If you would invest 3,227 in Livermore Investments Group on October 12, 2024 and sell it today you would earn a total of 1,973 from holding Livermore Investments Group or generate 61.14% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
GreenX Metals vs. Livermore Investments Group
Performance |
Timeline |
GreenX Metals |
Livermore Investments |
GreenX Metals and Livermore Investments Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GreenX Metals and Livermore Investments
The main advantage of trading using opposite GreenX Metals and Livermore Investments positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GreenX Metals position performs unexpectedly, Livermore Investments 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 Livermore Investments will offset losses from the drop in Livermore Investments' long position.GreenX Metals vs. Antofagasta PLC | GreenX Metals vs. Atalaya Mining | GreenX Metals vs. Central Asia Metals | GreenX Metals vs. Anglo Asian Mining |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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