Correlation Between Foran Mining and Sigma Lithium
Can any of the company-specific risk be diversified away by investing in both Foran Mining and Sigma Lithium 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 Foran Mining and Sigma Lithium into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Foran Mining and Sigma Lithium Resources, you can compare the effects of market volatilities on Foran Mining and Sigma Lithium 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 Foran Mining with a short position of Sigma Lithium. Check out your portfolio center. Please also check ongoing floating volatility patterns of Foran Mining and Sigma Lithium.
Diversification Opportunities for Foran Mining and Sigma Lithium
0.75 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Foran and Sigma is 0.75. Overlapping area represents the amount of risk that can be diversified away by holding Foran Mining and Sigma Lithium Resources in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sigma Lithium Resources and Foran 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 Foran Mining are associated (or correlated) with Sigma Lithium. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sigma Lithium Resources has no effect on the direction of Foran Mining i.e., Foran Mining and Sigma Lithium go up and down completely randomly.
Pair Corralation between Foran Mining and Sigma Lithium
Assuming the 90 days trading horizon Foran Mining is expected to generate 2.36 times less return on investment than Sigma Lithium. But when comparing it to its historical volatility, Foran Mining is 1.7 times less risky than Sigma Lithium. It trades about 0.08 of its potential returns per unit of risk. Sigma Lithium Resources is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 1,399 in Sigma Lithium Resources on September 13, 2024 and sell it today you would earn a total of 336.00 from holding Sigma Lithium Resources or generate 24.02% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Foran Mining vs. Sigma Lithium Resources
Performance |
Timeline |
Foran Mining |
Sigma Lithium Resources |
Foran Mining and Sigma Lithium Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Foran Mining and Sigma Lithium
The main advantage of trading using opposite Foran Mining and Sigma Lithium positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Foran Mining position performs unexpectedly, Sigma Lithium 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 Sigma Lithium will offset losses from the drop in Sigma Lithium's long position.Foran Mining vs. East Side Games | Foran Mining vs. Quorum Information Technologies | Foran Mining vs. Gamehost | Foran Mining vs. Quisitive Technology Solutions |
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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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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