Correlation Between Tfa Alphagen and Federated Municipal
Can any of the company-specific risk be diversified away by investing in both Tfa Alphagen and Federated Municipal 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 Tfa Alphagen and Federated Municipal into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Tfa Alphagen Growth and Federated Municipal High, you can compare the effects of market volatilities on Tfa Alphagen and Federated Municipal 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 Tfa Alphagen with a short position of Federated Municipal. Check out your portfolio center. Please also check ongoing floating volatility patterns of Tfa Alphagen and Federated Municipal.
Diversification Opportunities for Tfa Alphagen and Federated Municipal
0.21 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Tfa and Federated is 0.21. Overlapping area represents the amount of risk that can be diversified away by holding Tfa Alphagen Growth and Federated Municipal High in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Federated Municipal High and Tfa Alphagen 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 Tfa Alphagen Growth are associated (or correlated) with Federated Municipal. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Federated Municipal High has no effect on the direction of Tfa Alphagen i.e., Tfa Alphagen and Federated Municipal go up and down completely randomly.
Pair Corralation between Tfa Alphagen and Federated Municipal
Assuming the 90 days horizon Tfa Alphagen Growth is expected to under-perform the Federated Municipal. In addition to that, Tfa Alphagen is 5.77 times more volatile than Federated Municipal High. It trades about -0.07 of its total potential returns per unit of risk. Federated Municipal High is currently generating about 0.05 per unit of volatility. If you would invest 803.00 in Federated Municipal High on December 21, 2024 and sell it today you would earn a total of 5.00 from holding Federated Municipal High or generate 0.62% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 98.33% |
Values | Daily Returns |
Tfa Alphagen Growth vs. Federated Municipal High
Performance |
Timeline |
Tfa Alphagen Growth |
Federated Municipal High |
Tfa Alphagen and Federated Municipal Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Tfa Alphagen and Federated Municipal
The main advantage of trading using opposite Tfa Alphagen and Federated Municipal positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Tfa Alphagen position performs unexpectedly, Federated Municipal 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 Federated Municipal will offset losses from the drop in Federated Municipal's long position.Tfa Alphagen vs. Calvert Large Cap | Tfa Alphagen vs. Transamerica Large Cap | Tfa Alphagen vs. Lord Abbett Affiliated | Tfa Alphagen vs. Guidemark Large Cap |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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