Correlation Between Morgan Stanley and Kensington Dynamic
Can any of the company-specific risk be diversified away by investing in both Morgan Stanley and Kensington Dynamic 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 Kensington Dynamic 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 Kensington Dynamic Growth, you can compare the effects of market volatilities on Morgan Stanley and Kensington Dynamic 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 Kensington Dynamic. Check out your portfolio center. Please also check ongoing floating volatility patterns of Morgan Stanley and Kensington Dynamic.
Diversification Opportunities for Morgan Stanley and Kensington Dynamic
0.87 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Morgan and Kensington is 0.87. Overlapping area represents the amount of risk that can be diversified away by holding Morgan Stanley Direct and Kensington Dynamic Growth in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Kensington Dynamic Growth 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 Kensington Dynamic. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Kensington Dynamic Growth has no effect on the direction of Morgan Stanley i.e., Morgan Stanley and Kensington Dynamic go up and down completely randomly.
Pair Corralation between Morgan Stanley and Kensington Dynamic
Given the investment horizon of 90 days Morgan Stanley Direct is expected to generate 1.42 times more return on investment than Kensington Dynamic. However, Morgan Stanley is 1.42 times more volatile than Kensington Dynamic Growth. It trades about 0.12 of its potential returns per unit of risk. Kensington Dynamic Growth is currently generating about 0.16 per unit of risk. If you would invest 1,933 in Morgan Stanley Direct on September 25, 2024 and sell it today you would earn a total of 151.00 from holding Morgan Stanley Direct or generate 7.81% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Morgan Stanley Direct vs. Kensington Dynamic Growth
Performance |
Timeline |
Morgan Stanley Direct |
Kensington Dynamic Growth |
Morgan Stanley and Kensington Dynamic Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Morgan Stanley and Kensington Dynamic
The main advantage of trading using opposite Morgan Stanley and Kensington Dynamic positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Morgan Stanley position performs unexpectedly, Kensington Dynamic 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 Kensington Dynamic will offset losses from the drop in Kensington Dynamic's long position.Morgan Stanley vs. Avient Corp | Morgan Stanley vs. Eastman Chemical | Morgan Stanley vs. NL Industries | Morgan Stanley vs. Molson Coors Brewing |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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