Correlation Between Morgan Stanley and Dreyfus Government
Can any of the company-specific risk be diversified away by investing in both Morgan Stanley and Dreyfus Government 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 Dreyfus Government into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Morgan Stanley Global and Dreyfus Government Cash, you can compare the effects of market volatilities on Morgan Stanley and Dreyfus Government 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 Dreyfus Government. Check out your portfolio center. Please also check ongoing floating volatility patterns of Morgan Stanley and Dreyfus Government.
Diversification Opportunities for Morgan Stanley and Dreyfus Government
0.38 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Morgan and Dreyfus is 0.38. Overlapping area represents the amount of risk that can be diversified away by holding Morgan Stanley Global and Dreyfus Government Cash in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Dreyfus Government Cash 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 Global are associated (or correlated) with Dreyfus Government. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Dreyfus Government Cash has no effect on the direction of Morgan Stanley i.e., Morgan Stanley and Dreyfus Government go up and down completely randomly.
Pair Corralation between Morgan Stanley and Dreyfus Government
Assuming the 90 days horizon Morgan Stanley Global is expected to generate 2.44 times more return on investment than Dreyfus Government. However, Morgan Stanley is 2.44 times more volatile than Dreyfus Government Cash. It trades about 0.07 of its potential returns per unit of risk. Dreyfus Government Cash is currently generating about 0.06 per unit of risk. If you would invest 1,265 in Morgan Stanley Global on September 3, 2024 and sell it today you would earn a total of 108.00 from holding Morgan Stanley Global or generate 8.54% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 97.33% |
| Values | Daily Returns |
Morgan Stanley Global vs. Dreyfus Government Cash
Performance |
| Timeline |
| Morgan Stanley Global |
| Dreyfus Government Cash |
Morgan Stanley and Dreyfus Government Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Morgan Stanley and Dreyfus Government
The main advantage of trading using opposite Morgan Stanley and Dreyfus Government positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Morgan Stanley position performs unexpectedly, Dreyfus Government 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 Dreyfus Government will offset losses from the drop in Dreyfus Government's long position.| Morgan Stanley vs. Dreyfus Natural Resources | Morgan Stanley vs. Salient Mlp Energy | Morgan Stanley vs. Energy Basic Materials | Morgan Stanley vs. Calvert Global Energy |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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