Correlation Between Xtrackers LevDAX and AGF Management
Can any of the company-specific risk be diversified away by investing in both Xtrackers LevDAX and AGF Management 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 Xtrackers LevDAX and AGF Management into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Xtrackers LevDAX and AGF Management Limited, you can compare the effects of market volatilities on Xtrackers LevDAX and AGF Management 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 Xtrackers LevDAX with a short position of AGF Management. Check out your portfolio center. Please also check ongoing floating volatility patterns of Xtrackers LevDAX and AGF Management.
Diversification Opportunities for Xtrackers LevDAX and AGF Management
-0.14 | Correlation Coefficient |
Good diversification
The 3 months correlation between Xtrackers and AGF is -0.14. Overlapping area represents the amount of risk that can be diversified away by holding Xtrackers LevDAX and AGF Management Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on AGF Management and Xtrackers LevDAX 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 Xtrackers LevDAX are associated (or correlated) with AGF Management. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of AGF Management has no effect on the direction of Xtrackers LevDAX i.e., Xtrackers LevDAX and AGF Management go up and down completely randomly.
Pair Corralation between Xtrackers LevDAX and AGF Management
Assuming the 90 days trading horizon Xtrackers LevDAX is expected to generate 0.95 times more return on investment than AGF Management. However, Xtrackers LevDAX is 1.05 times less risky than AGF Management. It trades about 0.2 of its potential returns per unit of risk. AGF Management Limited is currently generating about -0.03 per unit of risk. If you would invest 19,958 in Xtrackers LevDAX on December 30, 2024 and sell it today you would earn a total of 5,457 from holding Xtrackers LevDAX or generate 27.34% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.44% |
Values | Daily Returns |
Xtrackers LevDAX vs. AGF Management Limited
Performance |
Timeline |
Xtrackers LevDAX |
AGF Management |
Xtrackers LevDAX and AGF Management Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Xtrackers LevDAX and AGF Management
The main advantage of trading using opposite Xtrackers LevDAX and AGF Management positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Xtrackers LevDAX position performs unexpectedly, AGF Management 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 AGF Management will offset losses from the drop in AGF Management's long position.Xtrackers LevDAX vs. Xtrackers II Global | Xtrackers LevDAX vs. Xtrackers FTSE | Xtrackers LevDAX vs. Xtrackers SP 500 | Xtrackers LevDAX vs. Xtrackers MSCI |
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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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