Correlation Between Great-west Loomis and Quantitative

Can any of the company-specific risk be diversified away by investing in both Great-west Loomis and Quantitative 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 Great-west Loomis and Quantitative into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Great West Loomis Sayles and Quantitative U S, you can compare the effects of market volatilities on Great-west Loomis and Quantitative 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 Great-west Loomis with a short position of Quantitative. Check out your portfolio center. Please also check ongoing floating volatility patterns of Great-west Loomis and Quantitative.

Diversification Opportunities for Great-west Loomis and Quantitative

0.7

Correlation Coefficient

Great-west Loomis  Quantitative

Poor diversification

The 3 months correlation between Great-west and Quantitative is 0.7. Overlapping area represents the amount of risk that can be diversified away by holding Great West Loomis Sayles and Quantitative U S in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Quantitative U S and Great-west Loomis 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 Great West Loomis Sayles are associated (or correlated) with Quantitative. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Quantitative U S has no effect on the direction of Great-west Loomis i.e., Great-west Loomis and Quantitative go up and down completely randomly.

Pair Corralation between Great-west Loomis and Quantitative

Assuming the 90 days horizon Great West Loomis Sayles is expected to under-perform the Quantitative. In addition to that, Great-west Loomis is 1.32 times more volatile than Quantitative U S. It trades about -0.09 of its total potential returns per unit of risk. Quantitative U S is currently generating about 0.01 per unit of volatility. If you would invest  1,263  in Quantitative U S on December 25, 2024 and sell it today you would earn a total of  5.00  from holding Quantitative U S or generate 0.4% return on investment over 90 days.

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

Great West Loomis Sayles  vs.  Quantitative U S

Great West Loomis

Risk-Adjusted Performance

Very Weak

Over the last 90 days Great West Loomis Sayles has generated negative risk-adjusted returns adding no value to fund investors. In spite of fairly strong basic indicators, Great-west Loomis is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Quantitative U S

Risk-Adjusted Performance

Very Weak

Over the last 90 days Quantitative U S has generated negative risk-adjusted returns adding no value to fund investors. 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.

Pair Trading with Great-west Loomis and Quantitative

The main advantage of trading using opposite Great-west Loomis and Quantitative positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Great-west Loomis position performs unexpectedly, Quantitative 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 Quantitative will offset losses from the drop in Quantitative's long position.

The idea behind Great West Loomis Sayles and Quantitative U S 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 Money Managers module to screen money managers from public funds and ETFs managed around the world.