Correlation Between Amg Managers and Goldman Sachs
Can any of the company-specific risk be diversified away by investing in both Amg Managers and Goldman Sachs 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 Goldman Sachs 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 Goldman Sachs Clean, you can compare the effects of market volatilities on Amg Managers and Goldman Sachs 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 Goldman Sachs. Check out your portfolio center. Please also check ongoing floating volatility patterns of Amg Managers and Goldman Sachs.
Diversification Opportunities for Amg Managers and Goldman Sachs
0.58 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Amg and Goldman is 0.58. Overlapping area represents the amount of risk that can be diversified away by holding Amg Managers Centersquare and Goldman Sachs Clean in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Goldman Sachs Clean 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 Goldman Sachs. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Goldman Sachs Clean has no effect on the direction of Amg Managers i.e., Amg Managers and Goldman Sachs go up and down completely randomly.
Pair Corralation between Amg Managers and Goldman Sachs
Assuming the 90 days horizon Amg Managers Centersquare is expected to generate 0.88 times more return on investment than Goldman Sachs. However, Amg Managers Centersquare is 1.14 times less risky than Goldman Sachs. It trades about -0.17 of its potential returns per unit of risk. Goldman Sachs Clean is currently generating about -0.31 per unit of risk. If you would invest 1,241 in Amg Managers Centersquare on September 22, 2024 and sell it today you would lose (124.00) from holding Amg Managers Centersquare or give up 9.99% 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. Goldman Sachs Clean
Performance |
Timeline |
Amg Managers Centersquare |
Goldman Sachs Clean |
Amg Managers and Goldman Sachs Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Amg Managers and Goldman Sachs
The main advantage of trading using opposite Amg Managers and Goldman Sachs positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Amg Managers position performs unexpectedly, Goldman Sachs 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 Goldman Sachs will offset losses from the drop in Goldman Sachs' long position.Amg Managers vs. Short Real Estate | Amg Managers vs. Real Estate Ultrasector | Amg Managers vs. Jhancock Real Estate | Amg Managers vs. Guggenheim Risk Managed |
Goldman Sachs vs. Goldman Sachs Clean | Goldman Sachs vs. Goldman Sachs Clean | Goldman Sachs vs. Goldman Sachs Clean | Goldman Sachs vs. Goldman Sachs Centrated |
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 Economic Indicators module to top statistical indicators that provide insights into how an economy is performing.
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