Correlation Between Pace Municipal and Amg Managers
Can any of the company-specific risk be diversified away by investing in both Pace Municipal 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 Pace Municipal and Amg Managers into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Pace Municipal Fixed and Amg Managers Fairpointe, you can compare the effects of market volatilities on Pace Municipal 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 Pace Municipal with a short position of Amg Managers. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pace Municipal and Amg Managers.
Diversification Opportunities for Pace Municipal and Amg Managers
0.23 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Pace and Amg is 0.23. Overlapping area represents the amount of risk that can be diversified away by holding Pace Municipal Fixed and Amg Managers Fairpointe in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Amg Managers Fairpointe and Pace Municipal 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 Pace Municipal Fixed 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 Fairpointe has no effect on the direction of Pace Municipal i.e., Pace Municipal and Amg Managers go up and down completely randomly.
Pair Corralation between Pace Municipal and Amg Managers
Assuming the 90 days horizon Pace Municipal Fixed is expected to generate 0.13 times more return on investment than Amg Managers. However, Pace Municipal Fixed is 7.58 times less risky than Amg Managers. It trades about -0.11 of its potential returns per unit of risk. Amg Managers Fairpointe is currently generating about -0.08 per unit of risk. If you would invest 1,229 in Pace Municipal Fixed on September 22, 2024 and sell it today you would lose (20.00) from holding Pace Municipal Fixed or give up 1.63% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 98.46% |
Values | Daily Returns |
Pace Municipal Fixed vs. Amg Managers Fairpointe
Performance |
Timeline |
Pace Municipal Fixed |
Amg Managers Fairpointe |
Pace Municipal and Amg Managers Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Pace Municipal and Amg Managers
The main advantage of trading using opposite Pace Municipal and Amg Managers positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pace Municipal 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.Pace Municipal vs. Pace Smallmedium Value | Pace Municipal vs. Pace International Equity | Pace Municipal vs. Pace International Equity | Pace Municipal vs. Ubs Allocation Fund |
Amg Managers vs. Amg Yacktman Focused | Amg Managers vs. Heartland Value Plus | Amg Managers vs. Common Stock Fund | Amg Managers vs. Perkins Mid Cap |
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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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