Correlation Between Macquarie Group and Strickland Metals
Can any of the company-specific risk be diversified away by investing in both Macquarie Group and Strickland 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 Macquarie Group and Strickland Metals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Macquarie Group Ltd and Strickland Metals, you can compare the effects of market volatilities on Macquarie Group and Strickland 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 Macquarie Group with a short position of Strickland Metals. Check out your portfolio center. Please also check ongoing floating volatility patterns of Macquarie Group and Strickland Metals.
Diversification Opportunities for Macquarie Group and Strickland Metals
0.29 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Macquarie and Strickland is 0.29. Overlapping area represents the amount of risk that can be diversified away by holding Macquarie Group Ltd and Strickland Metals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Strickland Metals and Macquarie Group 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 Macquarie Group Ltd are associated (or correlated) with Strickland Metals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Strickland Metals has no effect on the direction of Macquarie Group i.e., Macquarie Group and Strickland Metals go up and down completely randomly.
Pair Corralation between Macquarie Group and Strickland Metals
Assuming the 90 days trading horizon Macquarie Group is expected to generate 21.38 times less return on investment than Strickland Metals. But when comparing it to its historical volatility, Macquarie Group Ltd is 18.63 times less risky than Strickland Metals. It trades about 0.06 of its potential returns per unit of risk. Strickland Metals is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 8.50 in Strickland Metals on December 30, 2024 and sell it today you would earn a total of 1.50 from holding Strickland Metals or generate 17.65% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Macquarie Group Ltd vs. Strickland Metals
Performance |
Timeline |
Macquarie Group |
Strickland Metals |
Macquarie Group and Strickland Metals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Macquarie Group and Strickland Metals
The main advantage of trading using opposite Macquarie Group and Strickland Metals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Macquarie Group position performs unexpectedly, Strickland 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 Strickland Metals will offset losses from the drop in Strickland Metals' long position.Macquarie Group vs. Aeon Metals | Macquarie Group vs. Epsilon Healthcare | Macquarie Group vs. Sky Metals | Macquarie Group vs. Global Health |
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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 Funds Screener module to find actively-traded funds from around the world traded on over 30 global exchanges.
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