Correlation Between Magellan Financial and Wt Financial
Can any of the company-specific risk be diversified away by investing in both Magellan Financial and Wt 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 Magellan Financial and Wt Financial 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 Wt Financial Group, you can compare the effects of market volatilities on Magellan Financial and Wt 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 Magellan Financial with a short position of Wt Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Magellan Financial and Wt Financial.
Diversification Opportunities for Magellan Financial and Wt Financial
0.44 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Magellan and WTL is 0.44. Overlapping area represents the amount of risk that can be diversified away by holding Magellan Financial Group and Wt Financial Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Wt Financial Group 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 Wt Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Wt Financial Group has no effect on the direction of Magellan Financial i.e., Magellan Financial and Wt Financial go up and down completely randomly.
Pair Corralation between Magellan Financial and Wt Financial
Assuming the 90 days trading horizon Magellan Financial Group is expected to generate 0.77 times more return on investment than Wt Financial. However, Magellan Financial Group is 1.31 times less risky than Wt Financial. It trades about 0.13 of its potential returns per unit of risk. Wt Financial Group is currently generating about 0.07 per unit of risk. If you would invest 792.00 in Magellan Financial Group on September 12, 2024 and sell it today you would earn a total of 323.00 from holding Magellan Financial Group or generate 40.78% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Magellan Financial Group vs. Wt Financial Group
Performance |
Timeline |
Magellan Financial |
Wt Financial Group |
Magellan Financial and Wt Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Magellan Financial and Wt Financial
The main advantage of trading using opposite Magellan Financial and Wt Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Magellan Financial position performs unexpectedly, Wt 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 Wt Financial will offset losses from the drop in Wt Financial's long position.Magellan Financial vs. Centuria Industrial Reit | Magellan Financial vs. Tombador Iron | Magellan Financial vs. ACDC Metals | Magellan Financial vs. Bluescope Steel |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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