Correlation Between Federated Prudent and Multisector Bond
Can any of the company-specific risk be diversified away by investing in both Federated Prudent and Multisector 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 Prudent and Multisector Bond into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Federated Prudent Bear and Multisector Bond Sma, you can compare the effects of market volatilities on Federated Prudent and Multisector 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 Prudent with a short position of Multisector Bond. Check out your portfolio center. Please also check ongoing floating volatility patterns of Federated Prudent and Multisector Bond.
Diversification Opportunities for Federated Prudent and Multisector Bond
-0.95 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Federated and Multisector is -0.95. Overlapping area represents the amount of risk that can be diversified away by holding Federated Prudent Bear and Multisector Bond Sma in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Multisector Bond Sma and Federated Prudent 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 Prudent Bear are associated (or correlated) with Multisector Bond. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Multisector Bond Sma has no effect on the direction of Federated Prudent i.e., Federated Prudent and Multisector Bond go up and down completely randomly.
Pair Corralation between Federated Prudent and Multisector Bond
Assuming the 90 days horizon Federated Prudent Bear is expected to under-perform the Multisector Bond. In addition to that, Federated Prudent is 2.49 times more volatile than Multisector Bond Sma. It trades about -0.2 of its total potential returns per unit of risk. Multisector Bond Sma is currently generating about 0.22 per unit of volatility. If you would invest 1,364 in Multisector Bond Sma on May 15, 2025 and sell it today you would earn a total of 51.00 from holding Multisector Bond Sma or generate 3.74% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Federated Prudent Bear vs. Multisector Bond Sma
Performance |
Timeline |
Federated Prudent Bear |
Multisector Bond Sma |
Federated Prudent and Multisector Bond Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Federated Prudent and Multisector Bond
The main advantage of trading using opposite Federated Prudent and Multisector Bond positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Federated Prudent position performs unexpectedly, Multisector 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 Multisector Bond will offset losses from the drop in Multisector Bond's long position.Federated Prudent vs. Federated Hermes Mdt | Federated Prudent vs. Federated Mdt Large | Federated Prudent vs. Federated High Income | Federated Prudent vs. Federated Hermes Intermediate |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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