Correlation Between Amg Managers and Inverse Mid-cap
Can any of the company-specific risk be diversified away by investing in both Amg Managers and Inverse Mid-cap 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 Inverse Mid-cap 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 Inverse Mid Cap Strategy, you can compare the effects of market volatilities on Amg Managers and Inverse Mid-cap 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 Inverse Mid-cap. Check out your portfolio center. Please also check ongoing floating volatility patterns of Amg Managers and Inverse Mid-cap.
Diversification Opportunities for Amg Managers and Inverse Mid-cap
0.59 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Amg and Inverse is 0.59. Overlapping area represents the amount of risk that can be diversified away by holding Amg Managers Centersquare and Inverse Mid Cap Strategy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Inverse Mid Cap 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 Inverse Mid-cap. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Inverse Mid Cap has no effect on the direction of Amg Managers i.e., Amg Managers and Inverse Mid-cap go up and down completely randomly.
Pair Corralation between Amg Managers and Inverse Mid-cap
Assuming the 90 days horizon Amg Managers Centersquare is expected to generate 0.2 times more return on investment than Inverse Mid-cap. However, Amg Managers Centersquare is 5.13 times less risky than Inverse Mid-cap. It trades about -0.08 of its potential returns per unit of risk. Inverse Mid Cap Strategy is currently generating about -0.05 per unit of risk. If you would invest 1,186 in Amg Managers Centersquare on October 7, 2024 and sell it today you would lose (43.00) from holding Amg Managers Centersquare or give up 3.63% 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. Inverse Mid Cap Strategy
Performance |
Timeline |
Amg Managers Centersquare |
Inverse Mid Cap |
Amg Managers and Inverse Mid-cap Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Amg Managers and Inverse Mid-cap
The main advantage of trading using opposite Amg Managers and Inverse Mid-cap positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Amg Managers position performs unexpectedly, Inverse Mid-cap 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 Inverse Mid-cap will offset losses from the drop in Inverse Mid-cap's long position.Amg Managers vs. Fidelity Advisor Technology | Amg Managers vs. Technology Ultrasector Profund | Amg Managers vs. Hennessy Technology Fund | Amg Managers vs. Firsthand Technology Opportunities |
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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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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