Correlation Between Federated Hermes and Putnam Global
Can any of the company-specific risk be diversified away by investing in both Federated Hermes and Putnam Global 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 Putnam Global into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Federated Hermes Inflation and Putnam Global Industrials, you can compare the effects of market volatilities on Federated Hermes and Putnam Global 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 Putnam Global. Check out your portfolio center. Please also check ongoing floating volatility patterns of Federated Hermes and Putnam Global.
Diversification Opportunities for Federated Hermes and Putnam Global
0.26 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Federated and Putnam is 0.26. Overlapping area represents the amount of risk that can be diversified away by holding Federated Hermes Inflation and Putnam Global Industrials in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Putnam Global Industrials 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 Inflation are associated (or correlated) with Putnam Global. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Putnam Global Industrials has no effect on the direction of Federated Hermes i.e., Federated Hermes and Putnam Global go up and down completely randomly.
Pair Corralation between Federated Hermes and Putnam Global
Assuming the 90 days horizon Federated Hermes Inflation is expected to generate 0.17 times more return on investment than Putnam Global. However, Federated Hermes Inflation is 5.98 times less risky than Putnam Global. It trades about 0.11 of its potential returns per unit of risk. Putnam Global Industrials is currently generating about -0.11 per unit of risk. If you would invest 979.00 in Federated Hermes Inflation on December 2, 2024 and sell it today you would earn a total of 18.00 from holding Federated Hermes Inflation or generate 1.84% 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 Inflation vs. Putnam Global Industrials
Performance |
Timeline |
Federated Hermes Inf |
Putnam Global Industrials |
Federated Hermes and Putnam Global Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Federated Hermes and Putnam Global
The main advantage of trading using opposite Federated Hermes and Putnam Global positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Federated Hermes position performs unexpectedly, Putnam Global 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 Putnam Global will offset losses from the drop in Putnam Global's long position.Federated Hermes vs. Voya High Yield | Federated Hermes vs. Simt High Yield | Federated Hermes vs. Artisan High Income | Federated Hermes vs. Buffalo High Yield |
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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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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