Correlation Between Gmo Benchmark-free and Gmo E

Can any of the company-specific risk be diversified away by investing in both Gmo Benchmark-free and Gmo E 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 Gmo Benchmark-free and Gmo E into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Gmo Benchmark Free Allocation and Gmo E Plus, you can compare the effects of market volatilities on Gmo Benchmark-free and Gmo E 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 Gmo Benchmark-free with a short position of Gmo E. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gmo Benchmark-free and Gmo E.

Diversification Opportunities for Gmo Benchmark-free and Gmo E

0.73

Correlation Coefficient

Gmo Benchmark-free  Gmo E

Poor diversification

The 3 months correlation between Gmo and Gmo is 0.73. Overlapping area represents the amount of risk that can be diversified away by holding Gmo Benchmark Free Allocation and Gmo E Plus in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Gmo E Plus and Gmo Benchmark-free 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 Gmo Benchmark Free Allocation are associated (or correlated) with Gmo E. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Gmo E Plus has no effect on the direction of Gmo Benchmark-free i.e., Gmo Benchmark-free and Gmo E go up and down completely randomly.

Pair Corralation between Gmo Benchmark-free and Gmo E

Assuming the 90 days horizon Gmo Benchmark Free Allocation is expected to under-perform the Gmo E. In addition to that, Gmo Benchmark-free is 1.46 times more volatile than Gmo E Plus. It trades about -0.09 of its total potential returns per unit of risk. Gmo E Plus is currently generating about -0.05 per unit of volatility. If you would invest  1,800  in Gmo E Plus on August 31, 2024 and sell it today you would lose (18.00) from holding Gmo E Plus or give up 1.0% of portfolio value over 90 days.

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

Gmo Benchmark Free Allocation  vs.  Gmo E Plus

Gmo Benchmark Free

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Gmo Benchmark Free Allocation has generated negative risk-adjusted returns adding no value to fund investors. In spite of fairly strong forward indicators, Gmo Benchmark-free is not utilizing all of its potentials. The current stock price disturbance, may contribute to short-term losses for the investors.

Gmo E Plus

Risk-Adjusted Performance

0 of 100

Very Weak

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

Pair Trading with Gmo Benchmark-free and Gmo E

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

The idea behind Gmo Benchmark Free Allocation and Gmo E Plus 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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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 Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.