Correlation Between Federated Hermes and Baird Midcap
Can any of the company-specific risk be diversified away by investing in both Federated Hermes and Baird Midcap 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 Baird Midcap into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Federated Hermes International and Baird Midcap Fund, you can compare the effects of market volatilities on Federated Hermes and Baird Midcap 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 Baird Midcap. Check out your portfolio center. Please also check ongoing floating volatility patterns of Federated Hermes and Baird Midcap.
Diversification Opportunities for Federated Hermes and Baird Midcap
0.51 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Federated and Baird is 0.51. Overlapping area represents the amount of risk that can be diversified away by holding Federated Hermes International and Baird Midcap Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Baird Midcap 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 International are associated (or correlated) with Baird Midcap. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Baird Midcap has no effect on the direction of Federated Hermes i.e., Federated Hermes and Baird Midcap go up and down completely randomly.
Pair Corralation between Federated Hermes and Baird Midcap
Assuming the 90 days horizon Federated Hermes International is expected to generate 0.96 times more return on investment than Baird Midcap. However, Federated Hermes International is 1.05 times less risky than Baird Midcap. It trades about 0.04 of its potential returns per unit of risk. Baird Midcap Fund is currently generating about 0.01 per unit of risk. If you would invest 1,336 in Federated Hermes International on October 9, 2024 and sell it today you would earn a total of 102.00 from holding Federated Hermes International or generate 7.63% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Federated Hermes International vs. Baird Midcap Fund
Performance |
Timeline |
Federated Hermes Int |
Baird Midcap |
Federated Hermes and Baird Midcap Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Federated Hermes and Baird Midcap
The main advantage of trading using opposite Federated Hermes and Baird Midcap positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Federated Hermes position performs unexpectedly, Baird Midcap 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 Baird Midcap will offset losses from the drop in Baird Midcap's long position.Federated Hermes vs. Praxis Small Cap | Federated Hermes vs. Artisan Small Cap | Federated Hermes vs. Cardinal Small Cap | Federated Hermes vs. Needham Small Cap |
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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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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