Correlation Between Federated Max-cap and Federated
Can any of the company-specific risk be diversified away by investing in both Federated Max-cap and Federated 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 Federated Max-cap and Federated into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Federated Max Cap Index and Federated U S, you can compare the effects of market volatilities on Federated Max-cap and Federated 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 Federated Max-cap with a short position of Federated. Check out your portfolio center. Please also check ongoing floating volatility patterns of Federated Max-cap and Federated.
Diversification Opportunities for Federated Max-cap and Federated
0.22 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Federated and Federated is 0.22. Overlapping area represents the amount of risk that can be diversified away by holding Federated Max Cap Index and Federated U S in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Federated U S and Federated Max-cap 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 Federated Max Cap Index are associated (or correlated) with Federated. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Federated U S has no effect on the direction of Federated Max-cap i.e., Federated Max-cap and Federated go up and down completely randomly.
Pair Corralation between Federated Max-cap and Federated
Assuming the 90 days horizon Federated Max Cap Index is expected to under-perform the Federated. In addition to that, Federated Max-cap is 8.39 times more volatile than Federated U S. It trades about -0.11 of its total potential returns per unit of risk. Federated U S is currently generating about 0.09 per unit of volatility. If you would invest 962.00 in Federated U S on December 2, 2024 and sell it today you would earn a total of 10.00 from holding Federated U S or generate 1.04% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Federated Max Cap Index vs. Federated U S
Performance |
Timeline |
Federated Max Cap |
Federated U S |
Federated Max-cap and Federated Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Federated Max-cap and Federated
The main advantage of trading using opposite Federated Max-cap and Federated positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Federated Max-cap position performs unexpectedly, Federated 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 will offset losses from the drop in Federated's long position.Federated Max-cap vs. Federated Mdt Large | Federated Max-cap vs. Federated Mdt Mid Cap | Federated Max-cap vs. Federated U S | Federated Max-cap vs. Federated Mid Cap Index |
Federated vs. Jhancock Diversified Macro | Federated vs. Massmutual Premier Diversified | Federated vs. Transamerica Emerging Markets | Federated vs. Aqr Sustainable Long Short |
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 FinTech Suite module to use AI to screen and filter profitable investment opportunities.
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