Correlation Between Guidepath(r) Managed and Federated Hermes
Can any of the company-specific risk be diversified away by investing in both Guidepath(r) Managed and Federated Hermes 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 Guidepath(r) Managed and Federated Hermes into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Guidepath Managed Futures and Federated Hermes Inflation, you can compare the effects of market volatilities on Guidepath(r) Managed and Federated Hermes 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 Guidepath(r) Managed with a short position of Federated Hermes. Check out your portfolio center. Please also check ongoing floating volatility patterns of Guidepath(r) Managed and Federated Hermes.
Diversification Opportunities for Guidepath(r) Managed and Federated Hermes
0.8 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Guidepath(r) and Federated is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding Guidepath Managed Futures and Federated Hermes Inflation in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Federated Hermes Inf and Guidepath(r) Managed 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 Guidepath Managed Futures are associated (or correlated) with Federated Hermes. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Federated Hermes Inf has no effect on the direction of Guidepath(r) Managed i.e., Guidepath(r) Managed and Federated Hermes go up and down completely randomly.
Pair Corralation between Guidepath(r) Managed and Federated Hermes
Assuming the 90 days horizon Guidepath(r) Managed is expected to generate 7.4 times less return on investment than Federated Hermes. In addition to that, Guidepath(r) Managed is 2.47 times more volatile than Federated Hermes Inflation. It trades about 0.0 of its total potential returns per unit of risk. Federated Hermes Inflation is currently generating about 0.06 per unit of volatility. If you would invest 985.00 in Federated Hermes Inflation on August 28, 2024 and sell it today you would earn a total of 3.00 from holding Federated Hermes Inflation or generate 0.3% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Strong |
| Accuracy | 100.0% |
| Values | Daily Returns |
Guidepath Managed Futures vs. Federated Hermes Inflation
Performance |
| Timeline |
| Guidepath Managed Futures |
| Federated Hermes Inf |
Guidepath(r) Managed and Federated Hermes Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Guidepath(r) Managed and Federated Hermes
The main advantage of trading using opposite Guidepath(r) Managed and Federated Hermes positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Guidepath(r) Managed position performs unexpectedly, Federated Hermes 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 Hermes will offset losses from the drop in Federated Hermes' long position.| Guidepath(r) Managed vs. Guidepath Absolute Return | Guidepath(r) Managed vs. Guidepath Conservative Income | Guidepath(r) Managed vs. Guidepath Flexible Income | Guidepath(r) Managed vs. Guidepath Growth And |
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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 Bollinger Bands module to use Bollinger Bands indicator to analyze target price for a given investing horizon.
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