Correlation Between Federated Hermes and Ab High
Can any of the company-specific risk be diversified away by investing in both Federated Hermes and Ab 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 Hermes and Ab High into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Federated Hermes Emerging and Ab High Income, you can compare the effects of market volatilities on Federated Hermes and Ab 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 Hermes with a short position of Ab High. Check out your portfolio center. Please also check ongoing floating volatility patterns of Federated Hermes and Ab High.
Diversification Opportunities for Federated Hermes and Ab High
0.17 | Correlation Coefficient |
Average diversification
The 3 months correlation between Federated and AGDAX is 0.17. Overlapping area represents the amount of risk that can be diversified away by holding Federated Hermes Emerging and Ab High Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Ab High Income and Federated Hermes 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 Hermes Emerging are associated (or correlated) with Ab High. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Ab High Income has no effect on the direction of Federated Hermes i.e., Federated Hermes and Ab High go up and down completely randomly.
Pair Corralation between Federated Hermes and Ab High
Assuming the 90 days horizon Federated Hermes Emerging is expected to generate 5.34 times more return on investment than Ab High. However, Federated Hermes is 5.34 times more volatile than Ab High Income. It trades about 0.07 of its potential returns per unit of risk. Ab High Income is currently generating about 0.23 per unit of risk. If you would invest 1,541 in Federated Hermes Emerging on September 12, 2024 and sell it today you would earn a total of 58.00 from holding Federated Hermes Emerging or generate 3.76% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Federated Hermes Emerging vs. Ab High Income
Performance |
| Timeline |
| Federated Hermes Emerging |
| Ab High Income |
Federated Hermes and Ab High Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Federated Hermes and Ab High
The main advantage of trading using opposite Federated Hermes and Ab High positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Federated Hermes position performs unexpectedly, Ab 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 Ab High will offset losses from the drop in Ab High's long position.| Federated Hermes vs. Pace High Yield | Federated Hermes vs. Franklin High Yield | Federated Hermes vs. Versatile Bond Portfolio | Federated Hermes vs. Artisan High Income |
| Ab High vs. SCOR PK | Ab High vs. Morningstar Unconstrained Allocation | Ab High vs. Via Renewables | Ab High vs. Bondbloxx ETF Trust |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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