Correlation Between Federated Mdt and Federated High
Can any of the company-specific risk be diversified away by investing in both Federated Mdt and Federated High 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 Mdt and Federated High into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Federated Mdt Large and Federated High Income, you can compare the effects of market volatilities on Federated Mdt and Federated High 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 Mdt with a short position of Federated High. Check out your portfolio center. Please also check ongoing floating volatility patterns of Federated Mdt and Federated High.
Diversification Opportunities for Federated Mdt and Federated High
0.77 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Federated and Federated is 0.77. Overlapping area represents the amount of risk that can be diversified away by holding Federated Mdt Large and Federated High Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Federated High Income and Federated Mdt 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 Mdt Large are associated (or correlated) with Federated High. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Federated High Income has no effect on the direction of Federated Mdt i.e., Federated Mdt and Federated High go up and down completely randomly.
Pair Corralation between Federated Mdt and Federated High
Assuming the 90 days horizon Federated Mdt Large is expected to generate 4.2 times more return on investment than Federated High. However, Federated Mdt is 4.2 times more volatile than Federated High Income. It trades about 0.17 of its potential returns per unit of risk. Federated High Income is currently generating about 0.12 per unit of risk. If you would invest 3,331 in Federated Mdt Large on May 28, 2025 and sell it today you would earn a total of 149.00 from holding Federated Mdt Large or generate 4.47% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 97.62% |
| Values | Daily Returns |
Federated Mdt Large vs. Federated High Income
Performance |
| Timeline |
| Federated Mdt Large |
| Federated High Income |
Federated Mdt and Federated High Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Federated Mdt and Federated High
The main advantage of trading using opposite Federated Mdt and Federated High positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Federated Mdt position performs unexpectedly, Federated High 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 High will offset losses from the drop in Federated High's long position.| Federated Mdt vs. Federated Max Cap Index | Federated Mdt vs. Federated Mdt Mid Cap | Federated Mdt vs. Federated Max Cap Index | Federated Mdt vs. Federated Global Allocation |
| Federated High vs. Mutual Of America | Federated High vs. Queens Road Small | Federated High vs. Small Cap Value Fund | Federated High vs. Lord Abbett Small |
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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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