Correlation Between Bluescope Steel and Maggie Beer
Can any of the company-specific risk be diversified away by investing in both Bluescope Steel and Maggie Beer 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 Bluescope Steel and Maggie Beer into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bluescope Steel and Maggie Beer Holdings, you can compare the effects of market volatilities on Bluescope Steel and Maggie Beer 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 Bluescope Steel with a short position of Maggie Beer. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bluescope Steel and Maggie Beer.
Diversification Opportunities for Bluescope Steel and Maggie Beer
0.44 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Bluescope and Maggie is 0.44. Overlapping area represents the amount of risk that can be diversified away by holding Bluescope Steel and Maggie Beer Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Maggie Beer Holdings and Bluescope Steel 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 Bluescope Steel are associated (or correlated) with Maggie Beer. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Maggie Beer Holdings has no effect on the direction of Bluescope Steel i.e., Bluescope Steel and Maggie Beer go up and down completely randomly.
Pair Corralation between Bluescope Steel and Maggie Beer
Assuming the 90 days trading horizon Bluescope Steel is expected to generate 0.32 times more return on investment than Maggie Beer. However, Bluescope Steel is 3.16 times less risky than Maggie Beer. It trades about 0.02 of its potential returns per unit of risk. Maggie Beer Holdings is currently generating about -0.02 per unit of risk. If you would invest 1,745 in Bluescope Steel on October 4, 2024 and sell it today you would earn a total of 124.00 from holding Bluescope Steel or generate 7.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 99.8% |
Values | Daily Returns |
Bluescope Steel vs. Maggie Beer Holdings
Performance |
Timeline |
Bluescope Steel |
Maggie Beer Holdings |
Bluescope Steel and Maggie Beer Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bluescope Steel and Maggie Beer
The main advantage of trading using opposite Bluescope Steel and Maggie Beer positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bluescope Steel position performs unexpectedly, Maggie Beer 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 Maggie Beer will offset losses from the drop in Maggie Beer's long position.Bluescope Steel vs. Microequities Asset Management | Bluescope Steel vs. Sports Entertainment Group | Bluescope Steel vs. Dexus Convenience Retail | Bluescope Steel vs. K2 Asset Management |
Maggie Beer vs. Dalaroo Metals | Maggie Beer vs. GreenX Metals | Maggie Beer vs. Duketon Mining | Maggie Beer vs. Sky Metals |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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