Correlation Between GX AI and Morgan Stanley

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

By analyzing existing cross correlation between GX AI TECH and Morgan Stanley, you can compare the effects of market volatilities on GX AI 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 GX AI with a short position of Morgan Stanley. Check out your portfolio center. Please also check ongoing floating volatility patterns of GX AI and Morgan Stanley.

Diversification Opportunities for GX AI and Morgan Stanley

0.91

Correlation Coefficient

GX AI  Morgan Stanley

Almost no diversification

The 3 months correlation between BAIQ39 and Morgan is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding GX AI TECH and Morgan Stanley in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Morgan Stanley and GX AI 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 GX AI TECH 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 GX AI i.e., GX AI and Morgan Stanley go up and down completely randomly.

Pair Corralation between GX AI and Morgan Stanley

Assuming the 90 days trading horizon GX AI is expected to generate 1.77 times less return on investment than Morgan Stanley. But when comparing it to its historical volatility, GX AI TECH is 1.94 times less risky than Morgan Stanley. It trades about 0.29 of its potential returns per unit of risk. Morgan Stanley is currently generating about 0.27 of returns per unit of risk over similar time horizon. If you would invest  11,128  in Morgan Stanley on September 20, 2024 and sell it today you would earn a total of  5,217  from holding Morgan Stanley or generate 46.88% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Very Strong
Accuracy	96.83%
Values	Daily Returns

GX AI TECH  vs.  Morgan Stanley

GX AI TECH

Risk-Adjusted Performance

23 of 100

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in GX AI TECH are ranked lower than 23 (%) of all global equities and portfolios over the last 90 days. Despite somewhat weak forward indicators, GX AI sustained solid returns over the last few months and may actually be approaching a breakup point.

Morgan Stanley

Risk-Adjusted Performance

21 of 100

Solid

Compared to the overall equity markets, risk-adjusted returns on investments in Morgan Stanley are ranked lower than 21 (%) of all global equities and portfolios over the last 90 days. Despite somewhat weak fundamental drivers, Morgan Stanley sustained solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with GX AI and Morgan Stanley

The main advantage of trading using opposite GX AI and Morgan Stanley positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GX AI 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 GX AI TECH 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 Cryptocurrency Center module to build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency.