Correlation Between Carawine Resources and Core Lithium
Can any of the company-specific risk be diversified away by investing in both Carawine Resources and Core 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 Carawine Resources and Core Lithium into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Carawine Resources Limited and Core Lithium, you can compare the effects of market volatilities on Carawine Resources and Core 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 Carawine Resources with a short position of Core Lithium. Check out your portfolio center. Please also check ongoing floating volatility patterns of Carawine Resources and Core Lithium.
Diversification Opportunities for Carawine Resources and Core Lithium
-0.16 | Correlation Coefficient |
Good diversification
The 3 months correlation between Carawine and Core is -0.16. Overlapping area represents the amount of risk that can be diversified away by holding Carawine Resources Limited and Core Lithium in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Core Lithium and Carawine Resources 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 Carawine Resources Limited are associated (or correlated) with Core Lithium. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Core Lithium has no effect on the direction of Carawine Resources i.e., Carawine Resources and Core Lithium go up and down completely randomly.
Pair Corralation between Carawine Resources and Core Lithium
Assuming the 90 days trading horizon Carawine Resources Limited is expected to under-perform the Core Lithium. In addition to that, Carawine Resources is 2.03 times more volatile than Core Lithium. It trades about -0.22 of its total potential returns per unit of risk. Core Lithium is currently generating about -0.38 per unit of volatility. If you would invest 9.50 in Core Lithium on September 26, 2024 and sell it today you would lose (1.30) from holding Core Lithium or give up 13.68% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Carawine Resources Limited vs. Core Lithium
Performance |
Timeline |
Carawine Resources |
Core Lithium |
Carawine Resources and Core Lithium Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Carawine Resources and Core Lithium
The main advantage of trading using opposite Carawine Resources and Core Lithium positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Carawine Resources position performs unexpectedly, Core 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 Core Lithium will offset losses from the drop in Core Lithium's long position.Carawine Resources vs. Northern Star Resources | Carawine Resources vs. Evolution Mining | Carawine Resources vs. Bluescope Steel | Carawine Resources vs. Aneka Tambang Tbk |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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