Correlation Between Global Li and Juggernaut Exploration
Can any of the company-specific risk be diversified away by investing in both Global Li and Juggernaut Exploration 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 Global Li and Juggernaut Exploration into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Global Li Ion Graphite and Juggernaut Exploration, you can compare the effects of market volatilities on Global Li and Juggernaut Exploration 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 Global Li with a short position of Juggernaut Exploration. Check out your portfolio center. Please also check ongoing floating volatility patterns of Global Li and Juggernaut Exploration.
Diversification Opportunities for Global Li and Juggernaut Exploration
0.49 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Global and Juggernaut is 0.49. Overlapping area represents the amount of risk that can be diversified away by holding Global Li Ion Graphite and Juggernaut Exploration in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Juggernaut Exploration and Global Li 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 Global Li Ion Graphite are associated (or correlated) with Juggernaut Exploration. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Juggernaut Exploration has no effect on the direction of Global Li i.e., Global Li and Juggernaut Exploration go up and down completely randomly.
Pair Corralation between Global Li and Juggernaut Exploration
Assuming the 90 days horizon Global Li Ion Graphite is expected to generate 2.51 times more return on investment than Juggernaut Exploration. However, Global Li is 2.51 times more volatile than Juggernaut Exploration. It trades about 0.03 of its potential returns per unit of risk. Juggernaut Exploration is currently generating about -0.05 per unit of risk. If you would invest 1.98 in Global Li Ion Graphite on September 14, 2024 and sell it today you would lose (0.72) from holding Global Li Ion Graphite or give up 36.36% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 98.44% |
Values | Daily Returns |
Global Li Ion Graphite vs. Juggernaut Exploration
Performance |
Timeline |
Global Li Ion |
Juggernaut Exploration |
Global Li and Juggernaut Exploration Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Global Li and Juggernaut Exploration
The main advantage of trading using opposite Global Li and Juggernaut Exploration positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Global Li position performs unexpectedly, Juggernaut Exploration 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 Juggernaut Exploration will offset losses from the drop in Juggernaut Exploration's long position.Global Li vs. Qubec Nickel Corp | Global Li vs. IGO Limited | Global Li vs. Focus Graphite | Global Li vs. Mineral Res |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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