Correlation Between Barings Global and Federated Hermes
Can any of the company-specific risk be diversified away by investing in both Barings Global 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 Barings Global and Federated Hermes into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Barings Global Floating and Federated Hermes Sdg, you can compare the effects of market volatilities on Barings Global 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 Barings Global with a short position of Federated Hermes. Check out your portfolio center. Please also check ongoing floating volatility patterns of Barings Global and Federated Hermes.
Diversification Opportunities for Barings Global and Federated Hermes
-0.22 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Barings and Federated is -0.22. Overlapping area represents the amount of risk that can be diversified away by holding Barings Global Floating and Federated Hermes Sdg in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Federated Hermes Sdg and Barings Global 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 Barings Global Floating 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 Sdg has no effect on the direction of Barings Global i.e., Barings Global and Federated Hermes go up and down completely randomly.
Pair Corralation between Barings Global and Federated Hermes
Assuming the 90 days horizon Barings Global Floating is expected to generate 0.21 times more return on investment than Federated Hermes. However, Barings Global Floating is 4.85 times less risky than Federated Hermes. It trades about 0.2 of its potential returns per unit of risk. Federated Hermes Sdg is currently generating about 0.03 per unit of risk. If you would invest 730.00 in Barings Global Floating on October 11, 2024 and sell it today you would earn a total of 146.00 from holding Barings Global Floating or generate 20.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Barings Global Floating vs. Federated Hermes Sdg
Performance |
Timeline |
Barings Global Floating |
Federated Hermes Sdg |
Barings Global and Federated Hermes Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Barings Global and Federated Hermes
The main advantage of trading using opposite Barings Global and Federated Hermes positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Barings Global 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.Barings Global vs. Red Oak Technology | Barings Global vs. Janus Global Technology | Barings Global vs. Towpath Technology | Barings Global vs. Technology Ultrasector Profund |
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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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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