Correlation Between Federated Short-term and Federated Max-cap
Can any of the company-specific risk be diversified away by investing in both Federated Short-term and Federated Max-cap 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 Short-term and Federated Max-cap into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Federated Short Term Income and Federated Max Cap Index, you can compare the effects of market volatilities on Federated Short-term and Federated Max-cap 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 Short-term with a short position of Federated Max-cap. Check out your portfolio center. Please also check ongoing floating volatility patterns of Federated Short-term and Federated Max-cap.
Diversification Opportunities for Federated Short-term and Federated Max-cap
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between FEDERATED and Federated is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Federated Short Term Income and Federated Max Cap Index in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Federated Max Cap and Federated Short-term 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 Short Term Income are associated (or correlated) with Federated Max-cap. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Federated Max Cap has no effect on the direction of Federated Short-term i.e., Federated Short-term and Federated Max-cap go up and down completely randomly.
Pair Corralation between Federated Short-term and Federated Max-cap
If you would invest 847.00 in Federated Short Term Income on August 26, 2025 and sell it today you would earn a total of 11.00 from holding Federated Short Term Income or generate 1.3% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Flat |
| Strength | Insignificant |
| Accuracy | 0.0% |
| Values | Daily Returns |
Federated Short Term Income vs. Federated Max Cap Index
Performance |
| Timeline |
| Federated Short Term |
| Federated Max Cap |
Risk-Adjusted Performance
Soft
Weak | Strong |
Federated Short-term and Federated Max-cap Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Federated Short-term and Federated Max-cap
The main advantage of trading using opposite Federated Short-term and Federated Max-cap positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Federated Short-term position performs unexpectedly, Federated Max-cap 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 Max-cap will offset losses from the drop in Federated Max-cap's long position.| Federated Short-term vs. Voya Real Estate | Federated Short-term vs. Redwood Real Estate | Federated Short-term vs. Invesco Real Estate | Federated Short-term vs. Global Real Estate |
| Federated Max-cap vs. Franklin Real Estate | Federated Max-cap vs. Aew Real Estate | Federated Max-cap vs. Tiaa Cref Real Estate | Federated Max-cap vs. Voya Real Estate |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
Other Complementary Tools
| Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
| Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges | |
| Money Managers Screen money managers from public funds and ETFs managed around the world | |
| Portfolio Diagnostics Use generated alerts and portfolio events aggregator to diagnose current holdings | |
| Transaction History View history of all your transactions and understand their impact on performance |