Correlation Between Federated High and California Bond
Can any of the company-specific risk be diversified away by investing in both Federated High and California Bond 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 California Bond 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 California Bond Fund, you can compare the effects of market volatilities on Federated High and California Bond 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 California Bond. Check out your portfolio center. Please also check ongoing floating volatility patterns of Federated High and California Bond.
Diversification Opportunities for Federated High and California Bond
0.79 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Federated and California is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding Federated High Yield and California Bond Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on California Bond 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 California Bond. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of California Bond has no effect on the direction of Federated High i.e., Federated High and California Bond go up and down completely randomly.
Pair Corralation between Federated High and California Bond
Assuming the 90 days horizon Federated High Yield is expected to generate 0.72 times more return on investment than California Bond. However, Federated High Yield is 1.4 times less risky than California Bond. It trades about -0.28 of its potential returns per unit of risk. California Bond Fund is currently generating about -0.34 per unit of risk. If you would invest 644.00 in Federated High Yield on October 9, 2024 and sell it today you would lose (7.00) from holding Federated High Yield or give up 1.09% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Federated High Yield vs. California Bond Fund
Performance |
Timeline |
Federated High Yield |
California Bond |
Federated High and California Bond Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Federated High and California Bond
The main advantage of trading using opposite Federated High and California Bond positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Federated High position performs unexpectedly, California Bond 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 California Bond will offset losses from the drop in California Bond's long position.Federated High vs. Adams Natural Resources | Federated High vs. World Energy Fund | Federated High vs. Jennison Natural Resources | Federated High vs. Transamerica Mlp Energy |
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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 Analyzer module to portfolio analysis module that provides access to portfolio diagnostics and optimization engine.
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