Correlation Between Gmo High and Federated Total
Can any of the company-specific risk be diversified away by investing in both Gmo High and Federated Total 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 Gmo High and Federated Total into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Gmo High Yield and Federated Total Return, you can compare the effects of market volatilities on Gmo High and Federated Total 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 Gmo High with a short position of Federated Total. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gmo High and Federated Total.
Diversification Opportunities for Gmo High and Federated Total
0.81 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Gmo and Federated is 0.81. Overlapping area represents the amount of risk that can be diversified away by holding Gmo High Yield and Federated Total Return in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Federated Total Return and Gmo High 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 Gmo High Yield are associated (or correlated) with Federated Total. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Federated Total Return has no effect on the direction of Gmo High i.e., Gmo High and Federated Total go up and down completely randomly.
Pair Corralation between Gmo High and Federated Total
Assuming the 90 days horizon Gmo High is expected to generate 1.53 times less return on investment than Federated Total. But when comparing it to its historical volatility, Gmo High Yield is 1.38 times less risky than Federated Total. It trades about 0.21 of its potential returns per unit of risk. Federated Total Return is currently generating about 0.24 of returns per unit of risk over similar time horizon. If you would invest 924.00 in Federated Total Return on July 28, 2025 and sell it today you would earn a total of 33.00 from holding Federated Total Return or generate 3.57% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Gmo High Yield vs. Federated Total Return
Performance |
| Timeline |
| Gmo High Yield |
| Federated Total Return |
Gmo High and Federated Total Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Gmo High and Federated Total
The main advantage of trading using opposite Gmo High and Federated Total positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gmo High position performs unexpectedly, Federated Total 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 Total will offset losses from the drop in Federated Total's long position.| Gmo High vs. Goldman Sachs Small | Gmo High vs. Vanguard Small Cap Value | Gmo High vs. Fpa Queens Road | Gmo High vs. American Century Etf |
| Federated Total vs. Enhanced Fixed Income | Federated Total vs. T Rowe Price | Federated Total vs. Doubleline Core Fixed | Federated Total vs. T Rowe Price |
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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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