Correlation Between Stone Ridge and Amg Managers
Can any of the company-specific risk be diversified away by investing in both Stone Ridge 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 Stone Ridge and Amg Managers into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Stone Ridge Diversified and Amg Managers Centersquare, you can compare the effects of market volatilities on Stone Ridge 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 Stone Ridge with a short position of Amg Managers. Check out your portfolio center. Please also check ongoing floating volatility patterns of Stone Ridge and Amg Managers.
Diversification Opportunities for Stone Ridge and Amg Managers
-0.34 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Stone and Amg is -0.34. Overlapping area represents the amount of risk that can be diversified away by holding Stone Ridge Diversified 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 Stone Ridge 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 Stone Ridge Diversified 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 Stone Ridge i.e., Stone Ridge and Amg Managers go up and down completely randomly.
Pair Corralation between Stone Ridge and Amg Managers
Assuming the 90 days horizon Stone Ridge is expected to generate 16.64 times less return on investment than Amg Managers. But when comparing it to its historical volatility, Stone Ridge Diversified is 5.47 times less risky than Amg Managers. It trades about 0.03 of its potential returns per unit of risk. Amg Managers Centersquare is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 1,111 in Amg Managers Centersquare on December 19, 2024 and sell it today you would earn a total of 52.00 from holding Amg Managers Centersquare or generate 4.68% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Stone Ridge Diversified vs. Amg Managers Centersquare
Performance |
Timeline |
Stone Ridge Diversified |
Amg Managers Centersquare |
Stone Ridge and Amg Managers Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Stone Ridge and Amg Managers
The main advantage of trading using opposite Stone Ridge and Amg Managers positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Stone Ridge 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.Stone Ridge vs. World Precious Minerals | Stone Ridge vs. Franklin Gold Precious | Stone Ridge vs. Goldman Sachs Clean | Stone Ridge vs. Fidelity Advisor Gold |
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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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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