Correlation Between Federated High and Dreyfus Balanced
Can any of the company-specific risk be diversified away by investing in both Federated High and Dreyfus Balanced 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 High and Dreyfus Balanced into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Federated High Yield and Dreyfus Balanced Opportunity, you can compare the effects of market volatilities on Federated High and Dreyfus Balanced 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 High with a short position of Dreyfus Balanced. Check out your portfolio center. Please also check ongoing floating volatility patterns of Federated High and Dreyfus Balanced.
Diversification Opportunities for Federated High and Dreyfus Balanced
0.62 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Federated and Dreyfus is 0.62. Overlapping area represents the amount of risk that can be diversified away by holding Federated High Yield and Dreyfus Balanced Opportunity in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dreyfus Balanced Opp and Federated High 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 High Yield are associated (or correlated) with Dreyfus Balanced. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dreyfus Balanced Opp has no effect on the direction of Federated High i.e., Federated High and Dreyfus Balanced go up and down completely randomly.
Pair Corralation between Federated High and Dreyfus Balanced
Assuming the 90 days horizon Federated High Yield is expected to generate 0.21 times more return on investment than Dreyfus Balanced. However, Federated High Yield is 4.77 times less risky than Dreyfus Balanced. It trades about 0.01 of its potential returns per unit of risk. Dreyfus Balanced Opportunity is currently generating about -0.08 per unit of risk. If you would invest 635.00 in Federated High Yield on October 10, 2024 and sell it today you would earn a total of 1.00 from holding Federated High Yield or generate 0.16% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Federated High Yield vs. Dreyfus Balanced Opportunity
Performance |
Timeline |
Federated High Yield |
Dreyfus Balanced Opp |
Federated High and Dreyfus Balanced Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Federated High and Dreyfus Balanced
The main advantage of trading using opposite Federated High and Dreyfus Balanced positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Federated High position performs unexpectedly, Dreyfus Balanced 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 Dreyfus Balanced will offset losses from the drop in Dreyfus Balanced's long position.Federated High vs. Calamos Growth Fund | Federated High vs. T Rowe Price | Federated High vs. Eip Growth And | Federated High vs. Mairs Power Growth |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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