Correlation Between Morgan Stanley and Frontier Markets
Can any of the company-specific risk be diversified away by investing in both Morgan Stanley and Frontier Markets 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 Frontier Markets into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Morgan Stanley Focus and Frontier Markets Portfolio, you can compare the effects of market volatilities on Morgan Stanley and Frontier Markets 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 Frontier Markets. Check out your portfolio center. Please also check ongoing floating volatility patterns of Morgan Stanley and Frontier Markets.
Diversification Opportunities for Morgan Stanley and Frontier Markets
-0.44 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Morgan and Frontier is -0.44. Overlapping area represents the amount of risk that can be diversified away by holding Morgan Stanley Focus and Frontier Markets Portfolio in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Frontier Markets Por 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 Focus are associated (or correlated) with Frontier Markets. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Frontier Markets Por has no effect on the direction of Morgan Stanley i.e., Morgan Stanley and Frontier Markets go up and down completely randomly.
Pair Corralation between Morgan Stanley and Frontier Markets
Assuming the 90 days horizon Morgan Stanley Focus is expected to generate 1.31 times more return on investment than Frontier Markets. However, Morgan Stanley is 1.31 times more volatile than Frontier Markets Portfolio. It trades about 0.01 of its potential returns per unit of risk. Frontier Markets Portfolio is currently generating about -0.01 per unit of risk. If you would invest 1,006 in Morgan Stanley Focus on September 17, 2024 and sell it today you would earn a total of 2.00 from holding Morgan Stanley Focus or generate 0.2% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 78.13% |
Values | Daily Returns |
Morgan Stanley Focus vs. Frontier Markets Portfolio
Performance |
Timeline |
Morgan Stanley Focus |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Frontier Markets Por |
Morgan Stanley and Frontier Markets Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Morgan Stanley and Frontier Markets
The main advantage of trading using opposite Morgan Stanley and Frontier Markets positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Morgan Stanley position performs unexpectedly, Frontier Markets 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 Frontier Markets will offset losses from the drop in Frontier Markets' long position.Morgan Stanley vs. Realty Income | Morgan Stanley vs. Dynex Capital | Morgan Stanley vs. First Industrial Realty | Morgan Stanley vs. Healthcare Realty Trust |
Frontier Markets vs. Frontier Markets Portfolio | Frontier Markets vs. Hennessy Japan Fund | Frontier Markets vs. Hennessy Japan Fund | Frontier Markets vs. Hennessy Japan Small |
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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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