Correlation Between Federated Bond and Nationwide Growth
Can any of the company-specific risk be diversified away by investing in both Federated Bond and Nationwide Growth 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 Bond and Nationwide Growth into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Federated Bond Fund and Nationwide Growth Fund, you can compare the effects of market volatilities on Federated Bond and Nationwide Growth 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 Bond with a short position of Nationwide Growth. Check out your portfolio center. Please also check ongoing floating volatility patterns of Federated Bond and Nationwide Growth.
Diversification Opportunities for Federated Bond and Nationwide Growth
-0.34 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Federated and Nationwide is -0.34. Overlapping area represents the amount of risk that can be diversified away by holding Federated Bond Fund and Nationwide Growth Fund in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nationwide Growth and Federated Bond 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 Bond Fund are associated (or correlated) with Nationwide Growth. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nationwide Growth has no effect on the direction of Federated Bond i.e., Federated Bond and Nationwide Growth go up and down completely randomly.
Pair Corralation between Federated Bond and Nationwide Growth
Assuming the 90 days horizon Federated Bond Fund is expected to generate 0.28 times more return on investment than Nationwide Growth. However, Federated Bond Fund is 3.52 times less risky than Nationwide Growth. It trades about 0.08 of its potential returns per unit of risk. Nationwide Growth Fund is currently generating about -0.05 per unit of risk. If you would invest 819.00 in Federated Bond Fund on December 29, 2024 and sell it today you would earn a total of 11.00 from holding Federated Bond Fund or generate 1.34% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Federated Bond Fund vs. Nationwide Growth Fund
Performance |
Timeline |
Federated Bond |
Nationwide Growth |
Federated Bond and Nationwide Growth Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Federated Bond and Nationwide Growth
The main advantage of trading using opposite Federated Bond and Nationwide Growth positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Federated Bond position performs unexpectedly, Nationwide Growth 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 Nationwide Growth will offset losses from the drop in Nationwide Growth's long position.Federated Bond vs. Tax Managed International Equity | Federated Bond vs. Ftufox | Federated Bond vs. Ab Global Risk | Federated Bond vs. Scharf Global Opportunity |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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