Correlation Between GM and Morgan Stanley

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

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

Diversification Opportunities for GM and Morgan Stanley

0.0

Correlation Coefficient

GM  Morgan Stanley

Pay attention - limited upside

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

Pair Corralation between GM and Morgan Stanley

If you would invest  4,638  in General Motors on September 27, 2024 and sell it today you would earn a total of  713.00  from holding General Motors or generate 15.37% return on investment over 90 days.

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

General Motors  vs.  Morgan Stanley

General Motors

Risk-Adjusted Performance

8 of 100

OK

Compared to the overall equity markets, risk-adjusted returns on investments in General Motors are ranked lower than 8 (%) 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.

Morgan Stanley

Risk-Adjusted Performance

0 of 100

Very Weak

Over the last 90 days Morgan Stanley has generated negative risk-adjusted returns adding no value to investors with long positions. In spite of fairly strong basic indicators, Morgan Stanley 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 Morgan Stanley

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

The idea behind General Motors and Morgan Stanley 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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.