Correlation Between Federated Government and First American
Can any of the company-specific risk be diversified away by investing in both Federated Government and First American 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 Government and First American into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Federated Government Income and First American Funds, you can compare the effects of market volatilities on Federated Government and First American 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 Government with a short position of First American. Check out your portfolio center. Please also check ongoing floating volatility patterns of Federated Government and First American.
Diversification Opportunities for Federated Government and First American
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Federated and First is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding Federated Government Income and First American Funds in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on First American Funds and Federated Government 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 Government Income are associated (or correlated) with First American. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of First American Funds has no effect on the direction of Federated Government i.e., Federated Government and First American go up and down completely randomly.
Pair Corralation between Federated Government and First American
If you would invest 899.00 in Federated Government Income on August 4, 2025 and sell it today you would earn a total of 16.00 from holding Federated Government Income or generate 1.78% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Flat |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Federated Government Income vs. First American Funds
Performance |
| Timeline |
| Federated Government |
| First American Funds |
Federated Government and First American Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Federated Government and First American
The main advantage of trading using opposite Federated Government and First American positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Federated Government position performs unexpectedly, First American 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 First American will offset losses from the drop in First American's long position.The idea behind Federated Government Income and First American Funds pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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