Correlation Between Franklin Maryland and Amg Managers
Can any of the company-specific risk be diversified away by investing in both Franklin Maryland 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 Franklin Maryland and Amg Managers into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Franklin Maryland Tax Free and Amg Managers Centersquare, you can compare the effects of market volatilities on Franklin Maryland 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 Franklin Maryland with a short position of Amg Managers. Check out your portfolio center. Please also check ongoing floating volatility patterns of Franklin Maryland and Amg Managers.
Diversification Opportunities for Franklin Maryland and Amg Managers
0.44 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Franklin and Amg is 0.44. Overlapping area represents the amount of risk that can be diversified away by holding Franklin Maryland Tax Free 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 Franklin Maryland 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 Franklin Maryland Tax Free 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 Franklin Maryland i.e., Franklin Maryland and Amg Managers go up and down completely randomly.
Pair Corralation between Franklin Maryland and Amg Managers
Assuming the 90 days horizon Franklin Maryland Tax Free is expected to generate 0.24 times more return on investment than Amg Managers. However, Franklin Maryland Tax Free is 4.19 times less risky than Amg Managers. It trades about -0.01 of its potential returns per unit of risk. Amg Managers Centersquare is currently generating about -0.14 per unit of risk. If you would invest 989.00 in Franklin Maryland Tax Free on October 9, 2024 and sell it today you would lose (1.00) from holding Franklin Maryland Tax Free or give up 0.1% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Franklin Maryland Tax Free vs. Amg Managers Centersquare
Performance |
Timeline |
Franklin Maryland Tax |
Amg Managers Centersquare |
Franklin Maryland and Amg Managers Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Franklin Maryland and Amg Managers
The main advantage of trading using opposite Franklin Maryland and Amg Managers positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Franklin Maryland 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.Franklin Maryland vs. Allianzgi Diversified Income | Franklin Maryland vs. Delaware Limited Term Diversified | Franklin Maryland vs. Guggenheim Diversified Income | Franklin Maryland vs. T Rowe Price |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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