Correlation Between Amg Managers and Catalystmillburn
Can any of the company-specific risk be diversified away by investing in both Amg Managers and Catalystmillburn 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 Amg Managers and Catalystmillburn into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Amg Managers Centersquare and Catalystmillburn Dynamic Commodity, you can compare the effects of market volatilities on Amg Managers and Catalystmillburn 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 Amg Managers with a short position of Catalystmillburn. Check out your portfolio center. Please also check ongoing floating volatility patterns of Amg Managers and Catalystmillburn.
Diversification Opportunities for Amg Managers and Catalystmillburn
0.78 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Amg and Catalystmillburn is 0.78. Overlapping area represents the amount of risk that can be diversified away by holding Amg Managers Centersquare and Catalystmillburn Dynamic Commo in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Catalystmillburn Dyn and Amg Managers 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 Amg Managers Centersquare are associated (or correlated) with Catalystmillburn. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Catalystmillburn Dyn has no effect on the direction of Amg Managers i.e., Amg Managers and Catalystmillburn go up and down completely randomly.
Pair Corralation between Amg Managers and Catalystmillburn
Assuming the 90 days horizon Amg Managers Centersquare is expected to generate 0.94 times more return on investment than Catalystmillburn. However, Amg Managers Centersquare is 1.06 times less risky than Catalystmillburn. It trades about 0.09 of its potential returns per unit of risk. Catalystmillburn Dynamic Commodity is currently generating about -0.06 per unit of risk. If you would invest 1,042 in Amg Managers Centersquare on September 29, 2024 and sell it today you would earn a total of 109.00 from holding Amg Managers Centersquare or generate 10.46% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Amg Managers Centersquare vs. Catalystmillburn Dynamic Commo
Performance |
Timeline |
Amg Managers Centersquare |
Catalystmillburn Dyn |
Amg Managers and Catalystmillburn Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Amg Managers and Catalystmillburn
The main advantage of trading using opposite Amg Managers and Catalystmillburn positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Amg Managers position performs unexpectedly, Catalystmillburn 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 Catalystmillburn will offset losses from the drop in Catalystmillburn's long position.Amg Managers vs. Siit Ultra Short | Amg Managers vs. Dreyfus Short Intermediate | Amg Managers vs. Ab Select Longshort | Amg Managers vs. Touchstone Ultra Short |
Catalystmillburn vs. Deutsche Real Estate | Catalystmillburn vs. Redwood Real Estate | Catalystmillburn vs. Amg Managers Centersquare | Catalystmillburn vs. Guggenheim Risk Managed |
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 Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
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