Correlation Between Morgan Stanley and John Hancock
Can any of the company-specific risk be diversified away by investing in both Morgan Stanley and John Hancock 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 John Hancock 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 John Hancock Variable, you can compare the effects of market volatilities on Morgan Stanley and John Hancock 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 John Hancock. Check out your portfolio center. Please also check ongoing floating volatility patterns of Morgan Stanley and John Hancock.
Diversification Opportunities for Morgan Stanley and John Hancock
0.84 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Morgan and John is 0.84. Overlapping area represents the amount of risk that can be diversified away by holding Morgan Stanley Direct and John Hancock Variable in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on John Hancock Variable 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 John Hancock. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of John Hancock Variable has no effect on the direction of Morgan Stanley i.e., Morgan Stanley and John Hancock go up and down completely randomly.
Pair Corralation between Morgan Stanley and John Hancock
Given the investment horizon of 90 days Morgan Stanley Direct is expected to generate 1.34 times more return on investment than John Hancock. However, Morgan Stanley is 1.34 times more volatile than John Hancock Variable. It trades about 0.13 of its potential returns per unit of risk. John Hancock Variable is currently generating about 0.08 per unit of risk. If you would invest 1,968 in Morgan Stanley Direct on September 30, 2024 and sell it today you would earn a total of 167.00 from holding Morgan Stanley Direct or generate 8.49% 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. John Hancock Variable
Performance |
Timeline |
Morgan Stanley Direct |
John Hancock Variable |
Morgan Stanley and John Hancock Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Morgan Stanley and John Hancock
The main advantage of trading using opposite Morgan Stanley and John Hancock positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Morgan Stanley position performs unexpectedly, John Hancock 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 John Hancock will offset losses from the drop in John Hancock's long position.Morgan Stanley vs. Nascent Wine | Morgan Stanley vs. Kaltura | Morgan Stanley vs. Vita Coco | Morgan Stanley vs. Uber Technologies |
John Hancock vs. Vanguard Total Stock | John Hancock vs. Vanguard 500 Index | John Hancock vs. Vanguard Total Stock | John Hancock vs. Vanguard Total Stock |
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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