Correlation Between Catalystmap Global and Amg Managers
Can any of the company-specific risk be diversified away by investing in both Catalystmap Global and Amg Managers 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 Catalystmap Global and Amg Managers into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Catalystmap Global Equity and Amg Managers Centersquare, you can compare the effects of market volatilities on Catalystmap Global and Amg Managers 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 Catalystmap Global with a short position of Amg Managers. Check out your portfolio center. Please also check ongoing floating volatility patterns of Catalystmap Global and Amg Managers.
Diversification Opportunities for Catalystmap Global and Amg Managers
0.86 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Catalystmap and Amg is 0.86. Overlapping area represents the amount of risk that can be diversified away by holding Catalystmap Global Equity and Amg Managers Centersquare in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Amg Managers Centersquare and Catalystmap Global 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 Catalystmap Global Equity are associated (or correlated) with Amg Managers. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Amg Managers Centersquare has no effect on the direction of Catalystmap Global i.e., Catalystmap Global and Amg Managers go up and down completely randomly.
Pair Corralation between Catalystmap Global and Amg Managers
Assuming the 90 days horizon Catalystmap Global Equity is expected to under-perform the Amg Managers. In addition to that, Catalystmap Global is 1.33 times more volatile than Amg Managers Centersquare. It trades about -0.31 of its total potential returns per unit of risk. Amg Managers Centersquare is currently generating about -0.33 per unit of volatility. If you would invest 1,223 in Amg Managers Centersquare on October 1, 2024 and sell it today you would lose (89.00) from holding Amg Managers Centersquare or give up 7.28% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Catalystmap Global Equity vs. Amg Managers Centersquare
Performance |
Timeline |
Catalystmap Global Equity |
Amg Managers Centersquare |
Catalystmap Global and Amg Managers Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Catalystmap Global and Amg Managers
The main advantage of trading using opposite Catalystmap Global and Amg Managers positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Catalystmap Global position performs unexpectedly, Amg Managers 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 Amg Managers will offset losses from the drop in Amg Managers' long position.Catalystmap Global vs. Catalystsmh High Income | Catalystmap Global vs. Catalystsmh High Income | Catalystmap Global vs. Catalystsmh High Income | Catalystmap Global vs. Catalyst Mlp Infrastructure |
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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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