Correlation Between Federated Hermes and Federated
Can any of the company-specific risk be diversified away by investing in both Federated Hermes 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 Hermes and Federated into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Federated Hermes Mdt and Federated U S, you can compare the effects of market volatilities on Federated Hermes 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 Hermes with a short position of Federated. Check out your portfolio center. Please also check ongoing floating volatility patterns of Federated Hermes and Federated.
Diversification Opportunities for Federated Hermes and Federated
-0.86 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Federated and Federated is -0.86. Overlapping area represents the amount of risk that can be diversified away by holding Federated Hermes Mdt 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 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 Mdt 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 Hermes i.e., Federated Hermes and Federated go up and down completely randomly.
Pair Corralation between Federated Hermes and Federated
Assuming the 90 days horizon Federated Hermes Mdt is expected to generate 2.03 times more return on investment than Federated. However, Federated Hermes is 2.03 times more volatile than Federated U S. It trades about 0.13 of its potential returns per unit of risk. Federated U S is currently generating about -0.16 per unit of risk. If you would invest 1,930 in Federated Hermes Mdt on September 14, 2024 and sell it today you would earn a total of 71.00 from holding Federated Hermes Mdt or generate 3.68% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 98.44% |
Values | Daily Returns |
Federated Hermes Mdt vs. Federated U S
Performance |
Timeline |
Federated Hermes Mdt |
Federated U S |
Federated Hermes and Federated Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Federated Hermes and Federated
The main advantage of trading using opposite Federated Hermes and Federated positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Federated Hermes 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 Hermes vs. Lord Abbett Convertible | Federated Hermes vs. Calamos Dynamic Convertible | Federated Hermes vs. Advent Claymore Convertible | Federated Hermes vs. Allianzgi Convertible Income |
Federated vs. Federated Hermes Mdt | Federated vs. Federated Mdt Large | Federated vs. Federated High Income | Federated vs. Federated Hermes Sdg |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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