Correlation Between Morgan Stanley and Boxer Retail
Can any of the company-specific risk be diversified away by investing in both Morgan Stanley and Boxer Retail 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 Boxer Retail 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 Boxer Retail, you can compare the effects of market volatilities on Morgan Stanley and Boxer Retail 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 Boxer Retail. Check out your portfolio center. Please also check ongoing floating volatility patterns of Morgan Stanley and Boxer Retail.
Diversification Opportunities for Morgan Stanley and Boxer Retail
-0.45 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Morgan and Boxer is -0.45. Overlapping area represents the amount of risk that can be diversified away by holding Morgan Stanley Direct and Boxer Retail in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Boxer Retail 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 Boxer Retail. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Boxer Retail has no effect on the direction of Morgan Stanley i.e., Morgan Stanley and Boxer Retail go up and down completely randomly.
Pair Corralation between Morgan Stanley and Boxer Retail
Given the investment horizon of 90 days Morgan Stanley is expected to generate 1.3 times less return on investment than Boxer Retail. But when comparing it to its historical volatility, Morgan Stanley Direct is 1.59 times less risky than Boxer Retail. It trades about 0.35 of its potential returns per unit of risk. Boxer Retail is currently generating about 0.29 of returns per unit of risk over similar time horizon. If you would invest 640,000 in Boxer Retail on October 22, 2024 and sell it today you would earn a total of 47,400 from holding Boxer Retail or generate 7.41% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Morgan Stanley Direct vs. Boxer Retail
Performance |
Timeline |
Morgan Stanley Direct |
Boxer Retail |
Morgan Stanley and Boxer Retail Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Morgan Stanley and Boxer Retail
The main advantage of trading using opposite Morgan Stanley and Boxer Retail positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Morgan Stanley position performs unexpectedly, Boxer Retail 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 Boxer Retail will offset losses from the drop in Boxer Retail's long position.Morgan Stanley vs. LB Foster | Morgan Stanley vs. BJs Restaurants | Morgan Stanley vs. Healthy Coffee International | Morgan Stanley vs. Ryanair Holdings PLC |
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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 Sync Your Broker module to sync your existing holdings, watchlists, positions or portfolios from thousands of online brokerage services, banks, investment account aggregators and robo-advisors..
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