Correlation Between Federated High and Swan Defined
Can any of the company-specific risk be diversified away by investing in both Federated High and Swan Defined 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 Swan Defined 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 Swan Defined Risk, you can compare the effects of market volatilities on Federated High and Swan Defined 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 Swan Defined. Check out your portfolio center. Please also check ongoing floating volatility patterns of Federated High and Swan Defined.
Diversification Opportunities for Federated High and Swan Defined
0.96 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Federated and Swan is 0.96. Overlapping area represents the amount of risk that can be diversified away by holding Federated High Yield and Swan Defined Risk in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Swan Defined Risk 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 Swan Defined. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Swan Defined Risk has no effect on the direction of Federated High i.e., Federated High and Swan Defined go up and down completely randomly.
Pair Corralation between Federated High and Swan Defined
Assuming the 90 days horizon Federated High is expected to generate 1.83 times less return on investment than Swan Defined. But when comparing it to its historical volatility, Federated High Yield is 2.53 times less risky than Swan Defined. It trades about 0.27 of its potential returns per unit of risk. Swan Defined Risk is currently generating about 0.2 of returns per unit of risk over similar time horizon. If you would invest 1,414 in Swan Defined Risk on June 3, 2025 and sell it today you would earn a total of 82.00 from holding Swan Defined Risk or generate 5.8% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Federated High Yield vs. Swan Defined Risk
Performance |
Timeline |
Federated High Yield |
Swan Defined Risk |
Federated High and Swan Defined Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Federated High and Swan Defined
The main advantage of trading using opposite Federated High and Swan Defined positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Federated High position performs unexpectedly, Swan Defined 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 Swan Defined will offset losses from the drop in Swan Defined'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 |
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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 Piotroski F Score module to get Piotroski F Score based on the binary analysis strategy of nine different fundamentals.
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