Correlation Between Morgan Stanley and Cambria Foreign
Can any of the company-specific risk be diversified away by investing in both Morgan Stanley and Cambria Foreign 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 Cambria Foreign 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 Cambria Foreign Shareholder, you can compare the effects of market volatilities on Morgan Stanley and Cambria Foreign 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 Cambria Foreign. Check out your portfolio center. Please also check ongoing floating volatility patterns of Morgan Stanley and Cambria Foreign.
Diversification Opportunities for Morgan Stanley and Cambria Foreign
-0.65 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Morgan and Cambria is -0.65. Overlapping area represents the amount of risk that can be diversified away by holding Morgan Stanley Direct and Cambria Foreign Shareholder in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Cambria Foreign Shar 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 Cambria Foreign. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Cambria Foreign Shar has no effect on the direction of Morgan Stanley i.e., Morgan Stanley and Cambria Foreign go up and down completely randomly.
Pair Corralation between Morgan Stanley and Cambria Foreign
Given the investment horizon of 90 days Morgan Stanley Direct is expected to generate 1.63 times more return on investment than Cambria Foreign. However, Morgan Stanley is 1.63 times more volatile than Cambria Foreign Shareholder. It trades about 0.35 of its potential returns per unit of risk. Cambria Foreign Shareholder is currently generating about 0.14 per unit of risk. If you would invest 2,027 in Morgan Stanley Direct on October 22, 2024 and sell it today you would earn a total of 116.00 from holding Morgan Stanley Direct or generate 5.72% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 94.74% |
Values | Daily Returns |
Morgan Stanley Direct vs. Cambria Foreign Shareholder
Performance |
Timeline |
Morgan Stanley Direct |
Cambria Foreign Shar |
Morgan Stanley and Cambria Foreign Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Morgan Stanley and Cambria Foreign
The main advantage of trading using opposite Morgan Stanley and Cambria Foreign positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Morgan Stanley position performs unexpectedly, Cambria Foreign 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 Cambria Foreign will offset losses from the drop in Cambria Foreign'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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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