Correlation Between Federated Total and Federated Kaufmann
Can any of the company-specific risk be diversified away by investing in both Federated Total and Federated Kaufmann 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 Total and Federated Kaufmann into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Federated Total Return and Federated Kaufmann Small, you can compare the effects of market volatilities on Federated Total and Federated Kaufmann 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 Total with a short position of Federated Kaufmann. Check out your portfolio center. Please also check ongoing floating volatility patterns of Federated Total and Federated Kaufmann.
Diversification Opportunities for Federated Total and Federated Kaufmann
0.25 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Federated and Federated is 0.25. Overlapping area represents the amount of risk that can be diversified away by holding Federated Total Return and Federated Kaufmann Small in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Federated Kaufmann Small and Federated Total 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 Total Return are associated (or correlated) with Federated Kaufmann. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Federated Kaufmann Small has no effect on the direction of Federated Total i.e., Federated Total and Federated Kaufmann go up and down completely randomly.
Pair Corralation between Federated Total and Federated Kaufmann
Assuming the 90 days horizon Federated Total Return is expected to generate 0.2 times more return on investment than Federated Kaufmann. However, Federated Total Return is 4.91 times less risky than Federated Kaufmann. It trades about 0.03 of its potential returns per unit of risk. Federated Kaufmann Small is currently generating about -0.21 per unit of risk. If you would invest 942.00 in Federated Total Return on December 4, 2024 and sell it today you would earn a total of 5.00 from holding Federated Total Return or generate 0.53% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Federated Total Return vs. Federated Kaufmann Small
Performance |
Timeline |
Federated Total Return |
Federated Kaufmann Small |
Federated Total and Federated Kaufmann Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Federated Total and Federated Kaufmann
The main advantage of trading using opposite Federated Total and Federated Kaufmann positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Federated Total position performs unexpectedly, Federated Kaufmann 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 Kaufmann will offset losses from the drop in Federated Kaufmann's long position.Federated Total vs. Us Government Securities | Federated Total vs. Fidelity Series Government | Federated Total vs. Us Government Securities | Federated Total vs. Dunham Porategovernment Bond |
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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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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