Correlation Between Morgan Stanley and Loomis Sayles
Can any of the company-specific risk be diversified away by investing in both Morgan Stanley and Loomis Sayles 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 Morgan Stanley and Loomis Sayles into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Morgan Stanley Direct and Loomis Sayles Small, you can compare the effects of market volatilities on Morgan Stanley and Loomis Sayles 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 Morgan Stanley with a short position of Loomis Sayles. Check out your portfolio center. Please also check ongoing floating volatility patterns of Morgan Stanley and Loomis Sayles.
Diversification Opportunities for Morgan Stanley and Loomis Sayles
0.67 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Morgan and Loomis is 0.67. Overlapping area represents the amount of risk that can be diversified away by holding Morgan Stanley Direct and Loomis Sayles Small in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Loomis Sayles Small and Morgan Stanley 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 Morgan Stanley Direct are associated (or correlated) with Loomis Sayles. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Loomis Sayles Small has no effect on the direction of Morgan Stanley i.e., Morgan Stanley and Loomis Sayles go up and down completely randomly.
Pair Corralation between Morgan Stanley and Loomis Sayles
Given the investment horizon of 90 days Morgan Stanley Direct is expected to generate 1.15 times more return on investment than Loomis Sayles. However, Morgan Stanley is 1.15 times more volatile than Loomis Sayles Small. It trades about 0.1 of its potential returns per unit of risk. Loomis Sayles Small is currently generating about -0.38 per unit of risk. If you would invest 2,074 in Morgan Stanley Direct on September 27, 2024 and sell it today you would earn a total of 46.00 from holding Morgan Stanley Direct or generate 2.22% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 95.45% |
Values | Daily Returns |
Morgan Stanley Direct vs. Loomis Sayles Small
Performance |
Timeline |
Morgan Stanley Direct |
Loomis Sayles Small |
Morgan Stanley and Loomis Sayles Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Morgan Stanley and Loomis Sayles
The main advantage of trading using opposite Morgan Stanley and Loomis Sayles positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Morgan Stanley position performs unexpectedly, Loomis Sayles 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 Loomis Sayles will offset losses from the drop in Loomis Sayles' long position.Morgan Stanley vs. FactSet Research Systems | Morgan Stanley vs. Arrow Electronics | Morgan Stanley vs. Sphere Entertainment Co | Morgan Stanley vs. Iridium Communications |
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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 Financial Widgets module to easily integrated Macroaxis content with over 30 different plug-and-play financial widgets.
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