Correlation Between Riedel Resources and Magellan Financial
Can any of the company-specific risk be diversified away by investing in both Riedel Resources and Magellan Financial 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 Riedel Resources and Magellan Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Riedel Resources and Magellan Financial Group, you can compare the effects of market volatilities on Riedel Resources and Magellan Financial 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 Riedel Resources with a short position of Magellan Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Riedel Resources and Magellan Financial.
Diversification Opportunities for Riedel Resources and Magellan Financial
0.26 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Riedel and Magellan is 0.26. Overlapping area represents the amount of risk that can be diversified away by holding Riedel Resources and Magellan Financial Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Magellan Financial and Riedel 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 Riedel Resources are associated (or correlated) with Magellan Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Magellan Financial has no effect on the direction of Riedel Resources i.e., Riedel Resources and Magellan Financial go up and down completely randomly.
Pair Corralation between Riedel Resources and Magellan Financial
Assuming the 90 days trading horizon Riedel Resources is expected to under-perform the Magellan Financial. In addition to that, Riedel Resources is 12.4 times more volatile than Magellan Financial Group. It trades about -0.26 of its total potential returns per unit of risk. Magellan Financial Group is currently generating about -0.19 per unit of volatility. If you would invest 1,101 in Magellan Financial Group on October 9, 2024 and sell it today you would lose (43.00) from holding Magellan Financial Group or give up 3.91% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Riedel Resources vs. Magellan Financial Group
Performance |
Timeline |
Riedel Resources |
Magellan Financial |
Riedel Resources and Magellan Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Riedel Resources and Magellan Financial
The main advantage of trading using opposite Riedel Resources and Magellan Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Riedel Resources position performs unexpectedly, Magellan Financial 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 Magellan Financial will offset losses from the drop in Magellan Financial's long position.Riedel Resources vs. Northern Star Resources | Riedel Resources vs. Evolution Mining | Riedel Resources vs. Bluescope Steel | Riedel Resources vs. De Grey Mining |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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