Correlation Between Federated Hermes and Champlain Mid
Can any of the company-specific risk be diversified away by investing in both Federated Hermes and Champlain Mid 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 Champlain Mid into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Federated Hermes Sdg and Champlain Mid Cap, you can compare the effects of market volatilities on Federated Hermes and Champlain Mid 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 Champlain Mid. Check out your portfolio center. Please also check ongoing floating volatility patterns of Federated Hermes and Champlain Mid.
Diversification Opportunities for Federated Hermes and Champlain Mid
0.2 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Federated and Champlain is 0.2. Overlapping area represents the amount of risk that can be diversified away by holding Federated Hermes Sdg and Champlain Mid Cap in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Champlain Mid Cap 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 Sdg are associated (or correlated) with Champlain Mid. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Champlain Mid Cap has no effect on the direction of Federated Hermes i.e., Federated Hermes and Champlain Mid go up and down completely randomly.
Pair Corralation between Federated Hermes and Champlain Mid
Assuming the 90 days horizon Federated Hermes is expected to generate 1.03 times less return on investment than Champlain Mid. But when comparing it to its historical volatility, Federated Hermes Sdg is 1.06 times less risky than Champlain Mid. It trades about 0.05 of its potential returns per unit of risk. Champlain Mid Cap is currently generating about 0.05 of returns per unit of risk over similar time horizon. If you would invest 2,122 in Champlain Mid Cap on September 3, 2024 and sell it today you would earn a total of 491.00 from holding Champlain Mid Cap or generate 23.14% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Federated Hermes Sdg vs. Champlain Mid Cap
Performance |
Timeline |
Federated Hermes Sdg |
Champlain Mid Cap |
Federated Hermes and Champlain Mid Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Federated Hermes and Champlain Mid
The main advantage of trading using opposite Federated Hermes and Champlain Mid positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Federated Hermes position performs unexpectedly, Champlain Mid 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 Champlain Mid will offset losses from the drop in Champlain Mid's long position.Federated Hermes vs. American Funds Smallcap | Federated Hermes vs. American Fds Smallcap | Federated Hermes vs. Smallcap World Fund | Federated Hermes vs. Smallcap World Fund |
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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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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