Correlation Between Morgan Stanley and Société Générale
Can any of the company-specific risk be diversified away by investing in both Morgan Stanley and Société Générale 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 Société Générale 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 Socit Gnrale Socit, you can compare the effects of market volatilities on Morgan Stanley and Société Générale 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 Société Générale. Check out your portfolio center. Please also check ongoing floating volatility patterns of Morgan Stanley and Société Générale.
Diversification Opportunities for Morgan Stanley and Société Générale
0.59 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Morgan and Société is 0.59. Overlapping area represents the amount of risk that can be diversified away by holding Morgan Stanley Direct and Socit Gnrale Socit in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Socit Gnrale Socit 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 Société Générale. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Socit Gnrale Socit has no effect on the direction of Morgan Stanley i.e., Morgan Stanley and Société Générale go up and down completely randomly.
Pair Corralation between Morgan Stanley and Société Générale
Given the investment horizon of 90 days Morgan Stanley is expected to generate 2.72 times less return on investment than Société Générale. But when comparing it to its historical volatility, Morgan Stanley Direct is 2.02 times less risky than Société Générale. It trades about 0.11 of its potential returns per unit of risk. Socit Gnrale Socit is currently generating about 0.15 of returns per unit of risk over similar time horizon. If you would invest 2,269 in Socit Gnrale Socit on October 7, 2024 and sell it today you would earn a total of 442.00 from holding Socit Gnrale Socit or generate 19.48% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 96.83% |
Values | Daily Returns |
Morgan Stanley Direct vs. Socit Gnrale Socit
Performance |
Timeline |
Morgan Stanley Direct |
Socit Gnrale Socit |
Morgan Stanley and Société Générale Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Morgan Stanley and Société Générale
The main advantage of trading using opposite Morgan Stanley and Société Générale positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Morgan Stanley position performs unexpectedly, Société Générale 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 Société Générale will offset losses from the drop in Société Générale's long position.Morgan Stanley vs. Skechers USA | Morgan Stanley vs. Youdao Inc | Morgan Stanley vs. Daily Journal Corp | Morgan Stanley vs. Erf Wireless |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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