Correlation Between Quantitative and Federated Short-term

Can any of the company-specific risk be diversified away by investing in both Quantitative 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 Quantitative 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 Quantitative Longshort Equity and Federated Short Term Income, you can compare the effects of market volatilities on Quantitative 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 Quantitative with a short position of Federated Short-term. Check out your portfolio center. Please also check ongoing floating volatility patterns of Quantitative and Federated Short-term.

Diversification Opportunities for Quantitative and Federated Short-term

-0.34

Correlation Coefficient

Quantitative  Federated Short-term

Very good diversification

The 3 months correlation between Quantitative and Federated is -0.34. Overlapping area represents the amount of risk that can be diversified away by holding Quantitative Longshort Equity 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 Quantitative 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 Quantitative Longshort Equity 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 Quantitative i.e., Quantitative and Federated Short-term go up and down completely randomly.

Pair Corralation between Quantitative and Federated Short-term

Assuming the 90 days horizon Quantitative is expected to generate 1.64 times less return on investment than Federated Short-term. In addition to that, Quantitative is 3.15 times more volatile than Federated Short Term Income. It trades about 0.04 of its total potential returns per unit of risk. Federated Short Term Income is currently generating about 0.21 per unit of volatility. If you would invest  837.00  in Federated Short Term Income on December 26, 2024 and sell it today you would earn a total of  15.00  from holding Federated Short Term Income or generate 1.79% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Against
Strength	Insignificant
Accuracy	100.0%
Values	Daily Returns

Quantitative Longshort Equity  vs.  Federated Short Term Income

Quantitative Longshort

Risk-Adjusted Performance

Insignificant

Compared to the overall equity markets, risk-adjusted returns on investments in Quantitative Longshort Equity are ranked lower than 3 (%) of all funds and portfolios of funds over the last 90 days. In spite of fairly strong basic indicators, Quantitative is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Federated Short Term

Risk-Adjusted Performance

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in Federated Short Term Income are ranked lower than 16 (%) of all funds and portfolios of funds over the last 90 days. In spite of fairly strong essential indicators, Federated Short-term is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Pair Trading with Quantitative and Federated Short-term

The main advantage of trading using opposite Quantitative and Federated Short-term positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Quantitative 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.

The idea behind Quantitative Longshort Equity and Federated Short Term Income 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.

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.