Correlation Between Global X and Morgan Stanley
Can any of the company-specific risk be diversified away by investing in both Global X 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 Global X and Morgan Stanley into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Global X Funds and Morgan Stanley ETF, you can compare the effects of market volatilities on Global X 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 Global X with a short position of Morgan Stanley. Check out your portfolio center. Please also check ongoing floating volatility patterns of Global X and Morgan Stanley.
Diversification Opportunities for Global X and Morgan Stanley
0.75 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Global and Morgan is 0.75. Overlapping area represents the amount of risk that can be diversified away by holding Global X Funds and Morgan Stanley ETF in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Morgan Stanley ETF and Global X 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 Global X Funds 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 ETF has no effect on the direction of Global X i.e., Global X and Morgan Stanley go up and down completely randomly.
Pair Corralation between Global X and Morgan Stanley
Given the investment horizon of 90 days Global X Funds is expected to generate 8.73 times more return on investment than Morgan Stanley. However, Global X is 8.73 times more volatile than Morgan Stanley ETF. It trades about 0.15 of its potential returns per unit of risk. Morgan Stanley ETF is currently generating about 0.29 per unit of risk. If you would invest 2,463 in Global X Funds on September 12, 2024 and sell it today you would earn a total of 1,350 from holding Global X Funds or generate 54.83% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 67.62% |
| Values | Daily Returns |
Global X Funds vs. Morgan Stanley ETF
Performance |
| Timeline |
| Global X Funds |
| Morgan Stanley ETF |
Global X and Morgan Stanley Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Global X and Morgan Stanley
The main advantage of trading using opposite Global X and Morgan Stanley positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Global X 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.| Global X vs. Invesco DWA Utilities | Global X vs. Invesco Dynamic Large | Global X vs. SCOR PK | Global X vs. Morningstar Unconstrained Allocation |
| Morgan Stanley vs. Franklin Liberty Senior | Morgan Stanley vs. Virtus Newfleet Multi Sector | Morgan Stanley vs. Pacer Pacific Asset | Morgan Stanley vs. JPMorgan USD Emerging |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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