Correlation Between GM and Comerica

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

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

Diversification Opportunities for GM and Comerica

-0.1

Correlation Coefficient

GM  Comerica

Good diversification

The 3 months correlation between GM and Comerica is -0.1. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and Comerica in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Comerica 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 Comerica. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Comerica has no effect on the direction of GM i.e., GM and Comerica go up and down completely randomly.

Pair Corralation between GM and Comerica

Allowing for the 90-day total investment horizon General Motors is expected to under-perform the Comerica. In addition to that, GM is 1.39 times more volatile than Comerica. It trades about -0.03 of its total potential returns per unit of risk. Comerica is currently generating about -0.01 per unit of volatility. If you would invest  6,178  in Comerica on December 26, 2024 and sell it today you would lose (147.00) from holding Comerica or give up 2.38% of portfolio value over 90 days.

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

General Motors  vs.  Comerica

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.

Comerica

Risk-Adjusted Performance

Very Weak

Over the last 90 days Comerica has generated negative risk-adjusted returns adding no value to investors with long positions. Despite somewhat strong primary indicators, Comerica is not utilizing all of its potentials. The latest stock price disturbance, may contribute to short-term losses for the investors.

Pair Trading with GM and Comerica

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

The idea behind General Motors and Comerica 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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.