Correlation Between Icon Financial and Federated Short-term
Can any of the company-specific risk be diversified away by investing in both Icon Financial and Federated Short-term 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 Icon Financial and Federated Short-term into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Icon Financial Fund and Federated Short Term Income, you can compare the effects of market volatilities on Icon Financial and Federated Short-term 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 Icon Financial with a short position of Federated Short-term. Check out your portfolio center. Please also check ongoing floating volatility patterns of Icon Financial and Federated Short-term.
Diversification Opportunities for Icon Financial and Federated Short-term
-0.14 | Correlation Coefficient |
Good diversification
The 3 months correlation between Icon and Federated is -0.14. Overlapping area represents the amount of risk that can be diversified away by holding Icon Financial Fund 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 Icon Financial 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 Icon Financial Fund are associated (or correlated) with Federated Short-term. 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 Icon Financial i.e., Icon Financial and Federated Short-term go up and down completely randomly.
Pair Corralation between Icon Financial and Federated Short-term
Assuming the 90 days horizon Icon Financial Fund is expected to under-perform the Federated Short-term. In addition to that, Icon Financial is 8.53 times more volatile than Federated Short Term Income. It trades about -0.18 of its total potential returns per unit of risk. Federated Short Term Income is currently generating about -0.23 per unit of volatility. If you would invest 851.00 in Federated Short Term Income on October 8, 2024 and sell it today you would lose (4.00) from holding Federated Short Term Income or give up 0.47% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Icon Financial Fund vs. Federated Short Term Income
Performance |
Timeline |
Icon Financial |
Federated Short Term |
Icon Financial and Federated Short-term Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Icon Financial and Federated Short-term
The main advantage of trading using opposite Icon Financial and Federated Short-term positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Icon Financial position performs unexpectedly, Federated Short-term 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-term will offset losses from the drop in Federated Short-term's long position.Icon Financial vs. Mesirow Financial High | Icon Financial vs. Inverse High Yield | Icon Financial vs. Msift High Yield | Icon Financial vs. Americafirst Monthly Risk On |
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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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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