Correlation Between GM and Eagle Mlp

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

By analyzing existing cross correlation between General Motors and Eagle Mlp Strategy, you can compare the effects of market volatilities on GM and Eagle Mlp 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 GM with a short position of Eagle Mlp. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and Eagle Mlp.

Diversification Opportunities for GM and Eagle Mlp

0.84

Correlation Coefficient

GM  Eagle Mlp

Very poor diversification

The 3 months correlation between GM and Eagle is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Eagle Mlp Strategy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Eagle Mlp Strategy and GM 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 General Motors are associated (or correlated) with Eagle Mlp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Eagle Mlp Strategy has no effect on the direction of GM i.e., GM and Eagle Mlp go up and down completely randomly.

Pair Corralation between GM and Eagle Mlp

Allowing for the 90-day total investment horizon GM is expected to generate 1.24 times less return on investment than Eagle Mlp. In addition to that, GM is 2.91 times more volatile than Eagle Mlp Strategy. It trades about 0.08 of its total potential returns per unit of risk. Eagle Mlp Strategy is currently generating about 0.29 per unit of volatility. If you would invest  938.00  in Eagle Mlp Strategy on August 30, 2024 and sell it today you would earn a total of  164.00  from holding Eagle Mlp Strategy or generate 17.48% return on investment over 90 days.

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

General Motors  vs.  Eagle Mlp Strategy

General Motors

Risk-Adjusted Performance

6 of 100

Modest

Compared to the overall equity markets, risk-adjusted returns on investments in General Motors are ranked lower than 6 (%) of all global equities and portfolios over the last 90 days. In spite of very weak primary indicators, GM displayed solid returns over the last few months and may actually be approaching a breakup point.

Eagle Mlp Strategy

Risk-Adjusted Performance

23 of 100

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in Eagle Mlp Strategy are ranked lower than 23 (%) of all funds and portfolios of funds over the last 90 days. In spite of fairly weak basic indicators, Eagle Mlp showed solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with GM and Eagle Mlp

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

The idea behind General Motors and Eagle Mlp Strategy 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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.