Correlation Between Amg Managers and Precious Metals
Can any of the company-specific risk be diversified away by investing in both Amg Managers and Precious Metals 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 Precious Metals 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 Precious Metals Ultrasector, you can compare the effects of market volatilities on Amg Managers and Precious Metals 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 Precious Metals. Check out your portfolio center. Please also check ongoing floating volatility patterns of Amg Managers and Precious Metals.
Diversification Opportunities for Amg Managers and Precious Metals
0.52 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Amg and Precious is 0.52. Overlapping area represents the amount of risk that can be diversified away by holding Amg Managers Centersquare and Precious Metals Ultrasector in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Precious Metals Ultr 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 Precious Metals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Precious Metals Ultr has no effect on the direction of Amg Managers i.e., Amg Managers and Precious Metals go up and down completely randomly.
Pair Corralation between Amg Managers and Precious Metals
Assuming the 90 days horizon Amg Managers Centersquare is expected to generate 0.36 times more return on investment than Precious Metals. However, Amg Managers Centersquare is 2.79 times less risky than Precious Metals. It trades about -0.26 of its potential returns per unit of risk. Precious Metals Ultrasector is currently generating about -0.24 per unit of risk. If you would invest 1,203 in Amg Managers Centersquare on September 21, 2024 and sell it today you would lose (70.00) from holding Amg Managers Centersquare or give up 5.82% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Amg Managers Centersquare vs. Precious Metals Ultrasector
Performance |
Timeline |
Amg Managers Centersquare |
Precious Metals Ultr |
Amg Managers and Precious Metals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Amg Managers and Precious Metals
The main advantage of trading using opposite Amg Managers and Precious Metals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Amg Managers position performs unexpectedly, Precious Metals 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 Precious Metals will offset losses from the drop in Precious Metals' long position.Amg Managers vs. Cmg Ultra Short | Amg Managers vs. Lord Abbett Short | Amg Managers vs. Virtus Multi Sector Short | Amg Managers vs. Rbc Short Duration |
Precious Metals vs. Columbia Real Estate | Precious Metals vs. Dunham Real Estate | Precious Metals vs. Jhancock Real Estate | Precious Metals vs. Amg Managers Centersquare |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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