Correlation Between Federated High and Doubleline
Can any of the company-specific risk be diversified away by investing in both Federated High and Doubleline 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 Doubleline 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 Doubleline E Fixed, you can compare the effects of market volatilities on Federated High and Doubleline 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 Doubleline. Check out your portfolio center. Please also check ongoing floating volatility patterns of Federated High and Doubleline.
Diversification Opportunities for Federated High and Doubleline
-0.2 | Correlation Coefficient |
Good diversification
The 3 months correlation between Federated and Doubleline is -0.2. Overlapping area represents the amount of risk that can be diversified away by holding Federated High Yield and Doubleline E Fixed in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Doubleline E Fixed 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 Doubleline. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Doubleline E Fixed has no effect on the direction of Federated High i.e., Federated High and Doubleline go up and down completely randomly.
Pair Corralation between Federated High and Doubleline
Assuming the 90 days horizon Federated High Yield is expected to generate 0.84 times more return on investment than Doubleline. However, Federated High Yield is 1.19 times less risky than Doubleline. It trades about 0.11 of its potential returns per unit of risk. Doubleline E Fixed is currently generating about -0.12 per unit of risk. If you would invest 634.00 in Federated High Yield on September 13, 2024 and sell it today you would earn a total of 10.00 from holding Federated High Yield or generate 1.58% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Federated High Yield vs. Doubleline E Fixed
Performance |
Timeline |
Federated High Yield |
Doubleline E Fixed |
Federated High and Doubleline Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Federated High and Doubleline
The main advantage of trading using opposite Federated High and Doubleline positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Federated High position performs unexpectedly, Doubleline 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 Doubleline will offset losses from the drop in Doubleline's long position.Federated High vs. Janus High Yield Fund | Federated High vs. Northeast Investors Trust | Federated High vs. High Yield Fund Investor | Federated High vs. Ab Sustainable Thematic |
Doubleline vs. Barings Global Floating | Doubleline vs. Franklin Mutual Global | Doubleline vs. Ab Global Bond | Doubleline vs. Ab Global Real |
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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