Correlation Between Morgan Stanley and Baldwin Insurance
Can any of the company-specific risk be diversified away by investing in both Morgan Stanley and Baldwin Insurance 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 Baldwin Insurance 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 The Baldwin Insurance, you can compare the effects of market volatilities on Morgan Stanley and Baldwin Insurance 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 Baldwin Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Morgan Stanley and Baldwin Insurance.
Diversification Opportunities for Morgan Stanley and Baldwin Insurance
-0.5 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Morgan and Baldwin is -0.5. Overlapping area represents the amount of risk that can be diversified away by holding Morgan Stanley Direct and The Baldwin Insurance in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Baldwin Insurance 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 Baldwin Insurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Baldwin Insurance has no effect on the direction of Morgan Stanley i.e., Morgan Stanley and Baldwin Insurance go up and down completely randomly.
Pair Corralation between Morgan Stanley and Baldwin Insurance
Given the investment horizon of 90 days Morgan Stanley Direct is expected to generate 0.38 times more return on investment than Baldwin Insurance. However, Morgan Stanley Direct is 2.65 times less risky than Baldwin Insurance. It trades about 0.2 of its potential returns per unit of risk. The Baldwin Insurance is currently generating about -0.2 per unit of risk. If you would invest 2,055 in Morgan Stanley Direct on September 19, 2024 and sell it today you would earn a total of 83.00 from holding Morgan Stanley Direct or generate 4.04% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 95.45% |
Values | Daily Returns |
Morgan Stanley Direct vs. The Baldwin Insurance
Performance |
Timeline |
Morgan Stanley Direct |
Baldwin Insurance |
Morgan Stanley and Baldwin Insurance Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Morgan Stanley and Baldwin Insurance
The main advantage of trading using opposite Morgan Stanley and Baldwin Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Morgan Stanley position performs unexpectedly, Baldwin Insurance 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 Baldwin Insurance will offset losses from the drop in Baldwin Insurance's long position.Morgan Stanley vs. Mesa Air Group | Morgan Stanley vs. Air Transport Services | Morgan Stanley vs. SmartStop Self Storage | Morgan Stanley vs. Q2 Holdings |
Baldwin Insurance vs. Erie Indemnity | Baldwin Insurance vs. Brown Brown | Baldwin Insurance vs. Willis Towers Watson | Baldwin Insurance vs. GoHealth |
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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