Correlation Between Amg Managers and Absolute Capital
Can any of the company-specific risk be diversified away by investing in both Amg Managers and Absolute Capital 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 Absolute Capital 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 Absolute Capital Asset, you can compare the effects of market volatilities on Amg Managers and Absolute Capital 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 Absolute Capital. Check out your portfolio center. Please also check ongoing floating volatility patterns of Amg Managers and Absolute Capital.
Diversification Opportunities for Amg Managers and Absolute Capital
0.58 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Amg and Absolute is 0.58. Overlapping area represents the amount of risk that can be diversified away by holding Amg Managers Centersquare and Absolute Capital Asset in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Absolute Capital Asset 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 Absolute Capital. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Absolute Capital Asset has no effect on the direction of Amg Managers i.e., Amg Managers and Absolute Capital go up and down completely randomly.
Pair Corralation between Amg Managers and Absolute Capital
Assuming the 90 days horizon Amg Managers Centersquare is expected to generate 1.5 times more return on investment than Absolute Capital. However, Amg Managers is 1.5 times more volatile than Absolute Capital Asset. It trades about 0.05 of its potential returns per unit of risk. Absolute Capital Asset is currently generating about 0.05 per unit of risk. If you would invest 1,031 in Amg Managers Centersquare on October 24, 2024 and sell it today you would earn a total of 127.00 from holding Amg Managers Centersquare or generate 12.32% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Amg Managers Centersquare vs. Absolute Capital Asset
Performance |
Timeline |
Amg Managers Centersquare |
Absolute Capital Asset |
Amg Managers and Absolute Capital Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Amg Managers and Absolute Capital
The main advantage of trading using opposite Amg Managers and Absolute Capital positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Amg Managers position performs unexpectedly, Absolute Capital 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 Absolute Capital will offset losses from the drop in Absolute Capital's long position.Amg Managers vs. Putnam Convertible Securities | Amg Managers vs. Allianzgi Convertible Income | Amg Managers vs. Absolute Convertible Arbitrage | Amg Managers vs. Rationalpier 88 Convertible |
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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 Portfolio Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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