Correlation Between Federated Hermes and Dow Jones
Can any of the company-specific risk be diversified away by investing in both Federated Hermes and Dow Jones 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 Dow Jones into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Federated Hermes Emerging and Dow Jones Industrial, you can compare the effects of market volatilities on Federated Hermes and Dow Jones 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 Dow Jones. Check out your portfolio center. Please also check ongoing floating volatility patterns of Federated Hermes and Dow Jones.
Diversification Opportunities for Federated Hermes and Dow Jones
0.06 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Federated and Dow is 0.06. Overlapping area represents the amount of risk that can be diversified away by holding Federated Hermes Emerging and Dow Jones Industrial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dow Jones Industrial 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 Emerging are associated (or correlated) with Dow Jones. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dow Jones Industrial has no effect on the direction of Federated Hermes i.e., Federated Hermes and Dow Jones go up and down completely randomly.
Pair Corralation between Federated Hermes and Dow Jones
Assuming the 90 days horizon Federated Hermes is expected to generate 1.9 times less return on investment than Dow Jones. In addition to that, Federated Hermes is 1.3 times more volatile than Dow Jones Industrial. It trades about 0.07 of its total potential returns per unit of risk. Dow Jones Industrial is currently generating about 0.16 per unit of volatility. If you would invest 4,109,677 in Dow Jones Industrial on September 12, 2024 and sell it today you would earn a total of 315,106 from holding Dow Jones Industrial or generate 7.67% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Federated Hermes Emerging vs. Dow Jones Industrial
Performance |
Timeline |
Federated Hermes and Dow Jones Volatility Contrast
Predicted Return Density |
Returns |
Federated Hermes Emerging
Pair trading matchups for Federated Hermes
Dow Jones Industrial
Pair trading matchups for Dow Jones
Pair Trading with Federated Hermes and Dow Jones
The main advantage of trading using opposite Federated Hermes and Dow Jones positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Federated Hermes position performs unexpectedly, Dow Jones 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 Dow Jones will offset losses from the drop in Dow Jones' long position.Federated Hermes vs. Pace High Yield | Federated Hermes vs. Franklin High Yield | Federated Hermes vs. Versatile Bond Portfolio | Federated Hermes vs. Artisan High Income |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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