Correlation Between Magellan Financial and Regis Healthcare
Can any of the company-specific risk be diversified away by investing in both Magellan Financial and Regis Healthcare 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 Magellan Financial and Regis Healthcare into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Magellan Financial Group and Regis Healthcare, you can compare the effects of market volatilities on Magellan Financial and Regis Healthcare 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 Magellan Financial with a short position of Regis Healthcare. Check out your portfolio center. Please also check ongoing floating volatility patterns of Magellan Financial and Regis Healthcare.
Diversification Opportunities for Magellan Financial and Regis Healthcare
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Magellan and Regis is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding Magellan Financial Group and Regis Healthcare in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Regis Healthcare and Magellan Financial 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 Magellan Financial Group are associated (or correlated) with Regis Healthcare. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Regis Healthcare has no effect on the direction of Magellan Financial i.e., Magellan Financial and Regis Healthcare go up and down completely randomly.
Pair Corralation between Magellan Financial and Regis Healthcare
Assuming the 90 days trading horizon Magellan Financial Group is expected to generate 1.3 times more return on investment than Regis Healthcare. However, Magellan Financial is 1.3 times more volatile than Regis Healthcare. It trades about 0.1 of its potential returns per unit of risk. Regis Healthcare is currently generating about 0.07 per unit of risk. If you would invest 961.00 in Magellan Financial Group on September 20, 2024 and sell it today you would earn a total of 131.00 from holding Magellan Financial Group or generate 13.63% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Magellan Financial Group vs. Regis Healthcare
Performance |
Timeline |
Magellan Financial |
Regis Healthcare |
Magellan Financial and Regis Healthcare Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Magellan Financial and Regis Healthcare
The main advantage of trading using opposite Magellan Financial and Regis Healthcare positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Magellan Financial position performs unexpectedly, Regis Healthcare 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 Regis Healthcare will offset losses from the drop in Regis Healthcare's long position.Magellan Financial vs. Audio Pixels Holdings | Magellan Financial vs. Iodm | Magellan Financial vs. Nsx | Magellan Financial vs. TTG Fintech |
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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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