Correlation Between Federated Hermes and Mid-cap Value
Can any of the company-specific risk be diversified away by investing in both Federated Hermes and Mid-cap Value 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 Mid-cap Value 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 Mid Cap Value Profund, you can compare the effects of market volatilities on Federated Hermes and Mid-cap Value 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 Mid-cap Value. Check out your portfolio center. Please also check ongoing floating volatility patterns of Federated Hermes and Mid-cap Value.
Diversification Opportunities for Federated Hermes and Mid-cap Value
0.95 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Federated and Mid-cap is 0.95. Overlapping area represents the amount of risk that can be diversified away by holding Federated Hermes Sdg and Mid Cap Value Profund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mid Cap Value 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 Mid-cap Value. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mid Cap Value has no effect on the direction of Federated Hermes i.e., Federated Hermes and Mid-cap Value go up and down completely randomly.
Pair Corralation between Federated Hermes and Mid-cap Value
Assuming the 90 days horizon Federated Hermes Sdg is expected to under-perform the Mid-cap Value. But the mutual fund apears to be less risky and, when comparing its historical volatility, Federated Hermes Sdg is 1.17 times less risky than Mid-cap Value. The mutual fund trades about -0.1 of its potential returns per unit of risk. The Mid Cap Value Profund is currently generating about -0.07 of returns per unit of risk over similar time horizon. If you would invest 8,876 in Mid Cap Value Profund on December 23, 2024 and sell it today you would lose (367.00) from holding Mid Cap Value Profund or give up 4.13% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Federated Hermes Sdg vs. Mid Cap Value Profund
Performance |
Timeline |
Federated Hermes Sdg |
Mid Cap Value |
Federated Hermes and Mid-cap Value Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Federated Hermes and Mid-cap Value
The main advantage of trading using opposite Federated Hermes and Mid-cap Value positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Federated Hermes position performs unexpectedly, Mid-cap Value 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 Mid-cap Value will offset losses from the drop in Mid-cap Value's long position.Federated Hermes vs. Western Assets Emerging | Federated Hermes vs. Barings Emerging Markets | Federated Hermes vs. Pace International Emerging | Federated Hermes vs. Calvert Developed Market |
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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 Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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