Correlation Between Large Cap and Federated Hermes
Can any of the company-specific risk be diversified away by investing in both Large Cap and Federated Hermes 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 Large Cap and Federated Hermes into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Large Cap Growth Profund and Federated Hermes Inflation, you can compare the effects of market volatilities on Large Cap and Federated Hermes 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 Large Cap with a short position of Federated Hermes. Check out your portfolio center. Please also check ongoing floating volatility patterns of Large Cap and Federated Hermes.
Diversification Opportunities for Large Cap and Federated Hermes
-0.59 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Large and Federated is -0.59. Overlapping area represents the amount of risk that can be diversified away by holding Large Cap Growth Profund and Federated Hermes Inflation in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Federated Hermes Inf and Large Cap 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 Large Cap Growth Profund are associated (or correlated) with Federated Hermes. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Federated Hermes Inf has no effect on the direction of Large Cap i.e., Large Cap and Federated Hermes go up and down completely randomly.
Pair Corralation between Large Cap and Federated Hermes
Assuming the 90 days horizon Large Cap Growth Profund is expected to generate 3.51 times more return on investment than Federated Hermes. However, Large Cap is 3.51 times more volatile than Federated Hermes Inflation. It trades about 0.11 of its potential returns per unit of risk. Federated Hermes Inflation is currently generating about -0.19 per unit of risk. If you would invest 4,273 in Large Cap Growth Profund on September 21, 2024 and sell it today you would earn a total of 284.00 from holding Large Cap Growth Profund or generate 6.65% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Large Cap Growth Profund vs. Federated Hermes Inflation
Performance |
Timeline |
Large Cap Growth |
Federated Hermes Inf |
Large Cap and Federated Hermes Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Large Cap and Federated Hermes
The main advantage of trading using opposite Large Cap and Federated Hermes positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Large Cap position performs unexpectedly, Federated Hermes 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 Federated Hermes will offset losses from the drop in Federated Hermes' long position.Large Cap vs. Short Real Estate | Large Cap vs. Ultrashort Mid Cap Profund | Large Cap vs. Ultrashort Mid Cap Profund | Large Cap vs. Technology Ultrasector Profund |
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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 Holdings module to check your current holdings and cash postion to detemine if your portfolio needs rebalancing.
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