Correlation Between Federated High and Federated Short
Can any of the company-specific risk be diversified away by investing in both Federated High and Federated Short 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 Federated Short into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Federated High Income and Federated Short Term Income, you can compare the effects of market volatilities on Federated High and Federated Short 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 Federated Short. Check out your portfolio center. Please also check ongoing floating volatility patterns of Federated High and Federated Short.
Diversification Opportunities for Federated High and Federated Short
0.68 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Federated and Federated is 0.68. Overlapping area represents the amount of risk that can be diversified away by holding Federated High Income and Federated Short Term Income in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Federated Short Term 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 Income are associated (or correlated) with Federated Short. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Federated Short Term has no effect on the direction of Federated High i.e., Federated High and Federated Short go up and down completely randomly.
Pair Corralation between Federated High and Federated Short
Assuming the 90 days horizon Federated High Income is expected to generate 1.17 times more return on investment than Federated Short. However, Federated High is 1.17 times more volatile than Federated Short Term Income. It trades about 0.07 of its potential returns per unit of risk. Federated Short Term Income is currently generating about 0.06 per unit of risk. If you would invest 678.00 in Federated High Income on September 12, 2024 and sell it today you would earn a total of 5.00 from holding Federated High Income or generate 0.74% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Federated High Income vs. Federated Short Term Income
Performance |
Timeline |
Federated High Income |
Federated Short Term |
Federated High and Federated Short Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Federated High and Federated Short
The main advantage of trading using opposite Federated High and Federated Short positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Federated High position performs unexpectedly, Federated Short 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 Short will offset losses from the drop in Federated Short's long position.Federated High vs. SCOR PK | Federated High vs. Morningstar Unconstrained Allocation | Federated High vs. Via Renewables | Federated High vs. Bondbloxx ETF Trust |
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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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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