Correlation Between GM and MEET

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

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

Diversification Opportunities for GM and MEET

0.0

Correlation Coefficient

GM  MEET

Pay attention - limited upside

The 3 months correlation between GM and MEET is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and MEET in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MEET 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 MEET. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MEET has no effect on the direction of GM i.e., GM and MEET go up and down completely randomly.

Pair Corralation between GM and MEET

If you would invest (100.00) in MEET on December 27, 2024 and sell it today you would earn a total of  100.00  from holding MEET or generate -100.0% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Flat
Strength	Insignificant
Accuracy	0.0%
Values	Daily Returns

General Motors  vs.  MEET

General Motors

Risk-Adjusted Performance

Very Weak

Over the last 90 days General Motors has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of very healthy primary indicators, GM is not utilizing all of its potentials. The current stock price disarray, may contribute to short-term losses for the investors.

MEET

Risk-Adjusted Performance

Very Weak

Over the last 90 days MEET has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of rather sound fundamental indicators, MEET is not utilizing all of its potentials. The latest stock price tumult, may contribute to shorter-term losses for the shareholders.

Pair Trading with GM and MEET

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

The idea behind General Motors and MEET 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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.