Correlation Between Federated and Federated Clover
Can any of the company-specific risk be diversified away by investing in both Federated and Federated Clover 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 and Federated Clover into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Federated U S and Federated Clover Small, you can compare the effects of market volatilities on Federated and Federated Clover 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 with a short position of Federated Clover. Check out your portfolio center. Please also check ongoing floating volatility patterns of Federated and Federated Clover.
Diversification Opportunities for Federated and Federated Clover
-0.43 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Federated and Federated is -0.43. Overlapping area represents the amount of risk that can be diversified away by holding Federated U S and Federated Clover Small in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Federated Clover Small and Federated 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 U S are associated (or correlated) with Federated Clover. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Federated Clover Small has no effect on the direction of Federated i.e., Federated and Federated Clover go up and down completely randomly.
Pair Corralation between Federated and Federated Clover
Assuming the 90 days horizon Federated U S is not expected to generate positive returns. However, Federated U S is 15.39 times less risky than Federated Clover. It waists most of its returns potential to compensate for thr risk taken. Federated Clover is generating about 0.29 per unit of risk. If you would invest 2,647 in Federated Clover Small on September 1, 2024 and sell it today you would earn a total of 274.00 from holding Federated Clover Small or generate 10.35% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 95.45% |
| Values | Daily Returns |
Federated U S vs. Federated Clover Small
Performance |
| Timeline |
| Federated U S |
| Federated Clover Small |
Federated and Federated Clover Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Federated and Federated Clover
The main advantage of trading using opposite Federated and Federated Clover positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Federated position performs unexpectedly, Federated Clover 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 Clover will offset losses from the drop in Federated Clover's long position.| Federated vs. Federated Emerging Market | Federated vs. Federated Mdt All | Federated vs. Federated Mdt Balanced | Federated vs. Federated Global Allocation |
| Federated Clover vs. T Rowe Price | Federated Clover vs. American Mutual Fund | Federated Clover vs. Dana Large Cap | Federated Clover vs. Fidelity Series 1000 |
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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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