Correlation Between Federated Hermes and Commodities Strategy
Can any of the company-specific risk be diversified away by investing in both Federated Hermes and Commodities Strategy 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 Commodities Strategy into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Federated Hermes Conservative and Commodities Strategy Fund, you can compare the effects of market volatilities on Federated Hermes and Commodities Strategy 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 Commodities Strategy. Check out your portfolio center. Please also check ongoing floating volatility patterns of Federated Hermes and Commodities Strategy.
Diversification Opportunities for Federated Hermes and Commodities Strategy
-0.08 | Correlation Coefficient |
Good diversification
The 3 months correlation between Federated and Commodities is -0.08. Overlapping area represents the amount of risk that can be diversified away by holding Federated Hermes Conservative and Commodities Strategy Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Commodities Strategy 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 Conservative are associated (or correlated) with Commodities Strategy. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Commodities Strategy has no effect on the direction of Federated Hermes i.e., Federated Hermes and Commodities Strategy go up and down completely randomly.
Pair Corralation between Federated Hermes and Commodities Strategy
Assuming the 90 days horizon Federated Hermes is expected to generate 3.94 times less return on investment than Commodities Strategy. But when comparing it to its historical volatility, Federated Hermes Conservative is 18.3 times less risky than Commodities Strategy. It trades about 0.13 of its potential returns per unit of risk. Commodities Strategy Fund is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 1,657 in Commodities Strategy Fund on October 9, 2024 and sell it today you would earn a total of 22.00 from holding Commodities Strategy Fund or generate 1.33% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Federated Hermes Conservative vs. Commodities Strategy Fund
Performance |
Timeline |
Federated Hermes Con |
Commodities Strategy |
Federated Hermes and Commodities Strategy Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Federated Hermes and Commodities Strategy
The main advantage of trading using opposite Federated Hermes and Commodities Strategy positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Federated Hermes position performs unexpectedly, Commodities Strategy 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 Commodities Strategy will offset losses from the drop in Commodities Strategy's long position.Federated Hermes vs. Issachar Fund Class | Federated Hermes vs. T Rowe Price | Federated Hermes vs. Predex Funds | Federated Hermes vs. Rbb 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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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