Correlation Between Strickland Metals and Macquarie Bank
Can any of the company-specific risk be diversified away by investing in both Strickland Metals and Macquarie Bank 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 Strickland Metals and Macquarie Bank into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Strickland Metals and Macquarie Bank Limited, you can compare the effects of market volatilities on Strickland Metals and Macquarie Bank 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 Strickland Metals with a short position of Macquarie Bank. Check out your portfolio center. Please also check ongoing floating volatility patterns of Strickland Metals and Macquarie Bank.
Diversification Opportunities for Strickland Metals and Macquarie Bank
-0.71 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Strickland and Macquarie is -0.71. Overlapping area represents the amount of risk that can be diversified away by holding Strickland Metals and Macquarie Bank Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Macquarie Bank and Strickland 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 Strickland Metals are associated (or correlated) with Macquarie Bank. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Macquarie Bank has no effect on the direction of Strickland Metals i.e., Strickland Metals and Macquarie Bank go up and down completely randomly.
Pair Corralation between Strickland Metals and Macquarie Bank
Assuming the 90 days trading horizon Strickland Metals is expected to generate 6.47 times more return on investment than Macquarie Bank. However, Strickland Metals is 6.47 times more volatile than Macquarie Bank Limited. It trades about 0.07 of its potential returns per unit of risk. Macquarie Bank Limited is currently generating about 0.02 per unit of risk. If you would invest 7.60 in Strickland Metals on September 1, 2024 and sell it today you would earn a total of 0.40 from holding Strickland Metals or generate 5.26% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Strickland Metals vs. Macquarie Bank Limited
Performance |
Timeline |
Strickland Metals |
Macquarie Bank |
Strickland Metals and Macquarie Bank Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Strickland Metals and Macquarie Bank
The main advantage of trading using opposite Strickland Metals and Macquarie Bank positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Strickland Metals position performs unexpectedly, Macquarie Bank 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 Macquarie Bank will offset losses from the drop in Macquarie Bank's long position.Strickland Metals vs. Australian Unity Office | Strickland Metals vs. Red Hill Iron | Strickland Metals vs. Ironbark Capital | Strickland Metals vs. Legacy Iron Ore |
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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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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